1 00:00:10,934 --> 00:00:13,467 Hello to everyone watching us 2 00:00:13,467 --> 00:00:17,233 Hello to everyone watching us on various platforms also 3 00:00:17,233 --> 00:00:17,866 on various platforms also welcome to our journalists. 4 00:00:17,866 --> 00:00:21,534 welcome to our journalists. joining you guys to online 5 00:00:21,534 --> 00:00:22,934 joining you guys to online connection for this regular 6 00:00:22,934 --> 00:00:24,966 connection for this regular press briefing from the 7 00:00:24,966 --> 00:00:30,900 press briefing from the headquarters in Geneva on it 19 8 00:00:30,900 --> 00:00:34,933 headquarters in Geneva on it 19 and before I give the floor to 9 00:00:34,933 --> 00:00:36,899 and before I give the floor to doctor Tet, I was just to 10 00:00:36,899 --> 00:00:40,467 doctor Tet, I was just to remind you that question. 11 00:00:40,467 --> 00:00:41,433 remind you that question. Session will start immediately 12 00:00:41,433 --> 00:00:42,866 Session will start immediately after that question. the 13 00:00:42,866 --> 00:00:44,134 after that question. the question should be one 14 00:00:44,134 --> 00:00:46,833 question should be one journalist and a very concise 15 00:00:46,833 --> 00:00:48,966 journalist and a very concise we do have an interpretation as 16 00:00:48,966 --> 00:00:52,499 we do have an interpretation as we had in the previous days. We 17 00:00:52,499 --> 00:00:55,000 we had in the previous days. We also have sent you a number of 18 00:00:55,000 --> 00:00:57,499 also have sent you a number of products from different WH of 19 00:00:57,499 --> 00:00:59,166 products from different WH of offices on different topics so 20 00:00:59,166 --> 00:01:01,400 offices on different topics so I will start by giving to 21 00:01:01,400 --> 00:01:04,766 I will start by giving to Doctor Tess. 22 00:03:17,333 --> 00:03:20,066 Based health care also the 23 00:03:20,066 --> 00:03:22,566 Based health care also the professional health workers 24 00:03:22,566 --> 00:03:25,666 professional health workers like doctors and nurses play 25 00:03:25,666 --> 00:03:28,333 like doctors and nurses play crucial roles in many countries 26 00:03:28,333 --> 00:03:32,133 crucial roles in many countries trained members of the 27 00:03:32,133 --> 00:03:34,333 trained members of the community play a vital role in 28 00:03:34,333 --> 00:03:37,567 community play a vital role in delivering essential services 29 00:03:37,567 --> 00:03:40,700 delivering essential services like vaccination, prenatal 30 00:03:40,700 --> 00:03:41,500 like vaccination, prenatal screening and the detection 31 00:03:41,500 --> 00:03:43,800 screening and the detection prevention and management of 32 00:03:43,800 --> 00:03:46,833 prevention and management of many. 33 00:09:34,466 --> 00:09:38,166 Is not only better than cure. 34 00:09:38,166 --> 00:09:40,633 Is not only better than cure. It’s cheaper and the smartest 35 00:09:40,633 --> 00:09:44,066 It’s cheaper and the smartest thing to do the Kobi nine in 36 00:09:44,066 --> 00:09:47,734 thing to do the Kobi nine in pandemic will eventually Reed. 37 00:11:51,333 --> 00:11:53,200 This thing will get better as 38 00:11:53,200 --> 00:11:55,399 This thing will get better as we move forward, also for the 39 00:11:55,399 --> 00:11:59,399 we move forward, also for the time being in the speakers can 40 00:11:59,399 --> 00:12:02,466 time being in the speakers can can only listen and then 41 00:12:02,466 --> 00:12:05,134 can only listen and then questions will have to be set 42 00:12:05,134 --> 00:12:07,333 questions will have to be set in English, but we also work on 43 00:12:07,333 --> 00:12:08,000 in English, but we also work on that in any case, it’s very 44 00:12:08,000 --> 00:12:10,734 that in any case, it’s very good that we can reach to more 45 00:12:10,734 --> 00:12:14,400 good that we can reach to more and more people so before we go 46 00:12:14,400 --> 00:12:15,366 and more people so before we go to question, I would just like 47 00:12:15,366 --> 00:12:18,367 to question, I would just like to remind everyone that we need 48 00:12:18,367 --> 00:12:20,066 to remind everyone that we need we need to be very concise and 49 00:12:20,066 --> 00:12:21,666 we need to be very concise and one question per person. so 50 00:12:21,666 --> 00:12:25,600 one question per person. so I’ll just check. With my 51 00:12:25,600 --> 00:12:28,100 I’ll just check. With my colleague Chris, we would have 52 00:12:28,100 --> 00:12:30,599 colleague Chris, we would have a first in line and let’s go 53 00:12:30,599 --> 00:12:32,633 a first in line and let’s go with and kids from India today 54 00:12:32,633 --> 00:12:35,966 with and kids from India today and Kita you have the floor. 55 00:12:35,966 --> 00:12:38,033 and Kita you have the floor. Good evening, My name is Kumar. 56 00:12:38,033 --> 00:12:39,934 Good evening, My name is Kumar. My name is kt Kumar I represent 57 00:12:39,934 --> 00:12:42,334 My name is kt Kumar I represent in Jett today. my question is 58 00:12:42,334 --> 00:12:44,066 in Jett today. my question is on contact us applications more 59 00:12:44,066 --> 00:12:46,000 on contact us applications more and more countries are rolling 60 00:12:46,000 --> 00:12:47,666 and more countries are rolling out their own versions of these 61 00:12:47,666 --> 00:12:50,466 out their own versions of these applications. Is there any data 62 00:12:50,466 --> 00:12:51,666 applications. Is there any data or study or can you tell from 63 00:12:51,666 --> 00:12:53,967 or study or can you tell from your own experience? if these 64 00:12:53,967 --> 00:12:56,767 your own experience? if these applications are helpful in in 65 00:12:56,767 --> 00:12:59,467 applications are helpful in in control in the search in your 66 00:12:59,467 --> 00:13:01,034 control in the search in your opinion, should these apps be 67 00:13:01,034 --> 00:13:02,667 opinion, should these apps be mandate for those going out on 68 00:13:02,667 --> 00:13:03,867 mandate for those going out on during the long runs as the 69 00:13:03,867 --> 00:13:08,234 during the long runs as the case is India? Thank you. 70 00:13:37,001 --> 00:13:38,833 and then you follow them over 71 00:13:38,833 --> 00:13:40,667 and then you follow them over 14 days. your question was 72 00:13:40,667 --> 00:13:43,167 14 days. your question was specifically about apps and 73 00:13:43,167 --> 00:13:44,599 specifically about apps and apps can supplement the work 74 00:13:44,599 --> 00:13:47,199 apps can supplement the work that needs to be done by people 75 00:13:47,199 --> 00:13:48,433 that needs to be done by people the work that needs to be done 76 00:13:48,433 --> 00:13:51,333 the work that needs to be done by individuals who can go out 77 00:13:51,333 --> 00:13:52,900 by individuals who can go out and actually interview cases 78 00:13:52,900 --> 00:13:54,900 and actually interview cases and find out who did they come 79 00:13:54,900 --> 00:13:56,834 and find out who did they come in contact with just before 80 00:13:56,834 --> 00:13:58,234 in contact with just before they became symptomatic and 81 00:13:58,234 --> 00:13:59,267 they became symptomatic and what they were symptomatic 82 00:13:59,267 --> 00:14:00,800 what they were symptomatic before they were isolated and 83 00:14:00,800 --> 00:14:02,000 before they were isolated and that needs to be done by a 84 00:14:02,000 --> 00:14:04,533 that needs to be done by a group of individuals and many 85 00:14:04,533 --> 00:14:05,034 group of individuals and many of them are trained in 86 00:14:05,034 --> 00:14:06,967 of them are trained in epidemiology, but you don’t 87 00:14:06,967 --> 00:14:07,633 epidemiology, but you don’t have to be trained in 88 00:14:07,633 --> 00:14:08,867 have to be trained in epidemiology. We’ve seen many 89 00:14:08,867 --> 00:14:09,933 epidemiology. We’ve seen many countries use different work 90 00:14:09,933 --> 00:14:13,834 countries use different work forces volunteers. Are trained 91 00:14:13,834 --> 00:14:15,567 forces volunteers. Are trained school teachers we’ve heard of 92 00:14:15,567 --> 00:14:17,267 school teachers we’ve heard of we’ve heard of students who can 93 00:14:17,267 --> 00:14:20,500 we’ve heard of students who can help with this contact tracing 94 00:14:20,500 --> 00:14:21,334 help with this contact tracing and what this what’s important 95 00:14:21,334 --> 00:14:23,833 and what this what’s important about an individual the people 96 00:14:23,833 --> 00:14:24,933 about an individual the people that do this is that you need 97 00:14:24,933 --> 00:14:27,033 that do this is that you need to find cases through personal 98 00:14:27,033 --> 00:14:27,567 to find cases through personal interaction and through 99 00:14:27,567 --> 00:14:29,966 interaction and through interviews all done physically 100 00:14:29,966 --> 00:14:31,867 interviews all done physically distance. Of course, the apps 101 00:14:31,867 --> 00:14:34,267 distance. Of course, the apps can help but they don’t replace 102 00:14:34,267 --> 00:14:35,667 can help but they don’t replace people who need to do that 103 00:14:35,667 --> 00:14:37,034 people who need to do that contact tracing and what we’re 104 00:14:37,034 --> 00:14:39,034 contact tracing and what we’re seeing is a lot of apps and a 105 00:14:39,034 --> 00:14:41,000 seeing is a lot of apps and a lot of applications that can 106 00:14:41,000 --> 00:14:42,500 lot of applications that can help find people who may have 107 00:14:42,500 --> 00:14:43,833 help find people who may have been around somebody if they’re 108 00:14:43,833 --> 00:14:45,034 been around somebody if they’re using smartphones within a 109 00:14:45,034 --> 00:14:45,866 using smartphones within a certain distance and that can 110 00:14:45,866 --> 00:14:48,333 certain distance and that can help narrow down the number of. 111 00:14:48,333 --> 00:14:49,867 help narrow down the number of. But it doesn’t replace the 112 00:14:49,867 --> 00:14:50,934 But it doesn’t replace the individuals who actually have 113 00:14:50,934 --> 00:14:51,834 individuals who actually have to go out and do the contact 114 00:14:51,834 --> 00:14:54,933 to go out and do the contact tracing. 115 00:14:57,799 --> 00:15:00,399 Yes, just a supplement to there 116 00:15:00,399 --> 00:15:04,000 Yes, just a supplement to there are different applications out 117 00:15:04,000 --> 00:15:06,166 are different applications out there and many countries have 118 00:15:06,166 --> 00:15:09,000 there and many countries have developed some many consort of 119 00:15:09,000 --> 00:15:11,100 developed some many consort of developed them and in academia 120 00:15:11,100 --> 00:15:12,699 developed them and in academia and the private sector, there 121 00:15:12,699 --> 00:15:15,033 and the private sector, there are apps out there that help 122 00:15:15,033 --> 00:15:16,999 are apps out there that help people learn about the disease 123 00:15:16,999 --> 00:15:18,167 people learn about the disease and there’s some very useful 124 00:15:18,167 --> 00:15:20,300 and there’s some very useful apps out there that provide 125 00:15:20,300 --> 00:15:20,867 apps out there that provide better information about the 126 00:15:20,867 --> 00:15:23,234 better information about the disease and good information 127 00:15:23,234 --> 00:15:25,466 disease and good information and then also in some cases 128 00:15:25,466 --> 00:15:26,133 and then also in some cases help people check their 129 00:15:26,133 --> 00:15:26,933 help people check their symptoms. In other words, allow 130 00:15:26,933 --> 00:15:31,167 symptoms. In other words, allow people to get in. 131 00:15:31,367 --> 00:15:32,467 Regarding the symptoms of the 132 00:15:32,467 --> 00:15:33,267 Regarding the symptoms of the disease, check their symptoms 133 00:15:33,267 --> 00:15:34,500 disease, check their symptoms and see if they should take 134 00:15:34,500 --> 00:15:38,333 and see if they should take further action and they’re also 135 00:15:38,333 --> 00:15:42,000 further action and they’re also mobility tracking applications 136 00:15:42,000 --> 00:15:43,799 mobility tracking applications where people doing modeling and 137 00:15:43,799 --> 00:15:45,100 where people doing modeling and you’ve seen that with I am in 138 00:15:45,100 --> 00:15:47,800 you’ve seen that with I am in the US and other modeling 139 00:15:47,800 --> 00:15:48,867 the US and other modeling institutions where in the 140 00:15:48,867 --> 00:15:49,466 institutions where in the background, they’re checking 141 00:15:49,466 --> 00:15:51,401 background, they’re checking the overall mobility of the 142 00:15:51,401 --> 00:15:52,799 the overall mobility of the population, which helps drive 143 00:15:52,799 --> 00:15:54,534 population, which helps drive the modeling and prediction of 144 00:15:54,534 --> 00:15:55,533 the modeling and prediction of disease because clearly if 145 00:15:55,533 --> 00:15:57,200 disease because clearly if people are more Mobile and 146 00:15:57,200 --> 00:15:57,733 people are more Mobile and mixing more, you can use that 147 00:15:57,733 --> 00:16:00,433 mixing more, you can use that to make a model more accurate. 148 00:16:00,433 --> 00:16:02,900 to make a model more accurate. About the likely future 149 00:16:02,900 --> 00:16:05,000 About the likely future incidents of the disease and 150 00:16:05,000 --> 00:16:06,999 incidents of the disease and then there are the apps that 151 00:16:06,999 --> 00:16:07,933 then there are the apps that can help with contact tracing 152 00:16:07,933 --> 00:16:10,099 can help with contact tracing and that’s the many countries 153 00:16:10,099 --> 00:16:11,333 and that’s the many countries the UK. I think they’re just 154 00:16:11,333 --> 00:16:13,166 the UK. I think they’re just finished testing their app. 155 00:16:13,166 --> 00:16:15,900 finished testing their app. What that app allows public 156 00:16:15,900 --> 00:16:18,800 What that app allows public health authorities to do is to 157 00:16:18,800 --> 00:16:20,500 health authorities to do is to number one and potentially 158 00:16:20,500 --> 00:16:21,899 number one and potentially Korea have a similar 159 00:16:21,899 --> 00:16:23,467 Korea have a similar application is help with the 160 00:16:23,467 --> 00:16:26,066 application is help with the tracing process Once someone is 161 00:16:26,066 --> 00:16:27,034 tracing process Once someone is sick. What would normally 162 00:16:27,034 --> 00:16:28,399 sick. What would normally happen is to be tested and 163 00:16:28,399 --> 00:16:30,000 happen is to be tested and isolated as part of that 164 00:16:30,000 --> 00:16:31,200 isolated as part of that process to public health. 165 00:16:31,200 --> 00:16:32,599 process to public health. authorities will ask them about 166 00:16:32,599 --> 00:16:33,333 authorities will ask them about who they’ve been in close 167 00:16:33,333 --> 00:16:34,167 who they’ve been in close contact with in the previous 168 00:16:34,167 --> 00:16:40,500 contact with in the previous days. And that’s that is a is a 169 00:16:40,500 --> 00:16:42,700 days. And that’s that is a is a difficult process remembering 170 00:16:42,700 --> 00:16:43,799 difficult process remembering exactly who you spend a certain 171 00:16:43,799 --> 00:16:45,434 exactly who you spend a certain amount of time with in certain 172 00:16:45,434 --> 00:16:46,767 amount of time with in certain settings to see who the 173 00:16:46,767 --> 00:16:48,000 settings to see who the high-risk context might have 174 00:16:48,000 --> 00:16:49,667 high-risk context might have been a way to supplement that 175 00:16:49,667 --> 00:16:52,000 been a way to supplement that is to have an ability to use 176 00:16:52,000 --> 00:16:53,733 is to have an ability to use Mobile phone technology that 177 00:16:53,733 --> 00:16:55,967 Mobile phone technology that can actually remember in a 178 00:16:55,967 --> 00:16:56,767 can actually remember in a sense for the person because 179 00:16:56,767 --> 00:16:59,467 sense for the person because your Mobile phone can remember 180 00:16:59,467 --> 00:17:00,467 your Mobile phone can remember who you were close to in the 181 00:17:00,467 --> 00:17:02,166 who you were close to in the last number of days, and it can 182 00:17:02,166 --> 00:17:03,267 last number of days, and it can actually calculate how long 183 00:17:03,267 --> 00:17:03,833 actually calculate how long you’ve been close to that 184 00:17:03,833 --> 00:17:07,199 you’ve been close to that person. so what it does is. 185 00:17:07,199 --> 00:17:10,467 person. so what it does is. Provides an aid to memory of of 186 00:17:10,467 --> 00:17:12,133 Provides an aid to memory of of of for that process, and that 187 00:17:12,133 --> 00:17:13,833 of for that process, and that can be very good. It can also 188 00:17:13,833 --> 00:17:15,100 can be very good. It can also be used to notify those 189 00:17:15,100 --> 00:17:17,401 be used to notify those contacts that they have been in 190 00:17:17,401 --> 00:17:18,934 contacts that they have been in contact with a confirmed case, 191 00:17:18,934 --> 00:17:21,067 contact with a confirmed case, which allows them to take 192 00:17:21,067 --> 00:17:23,034 which allows them to take appropriate action for all of 193 00:17:23,034 --> 00:17:25,334 appropriate action for all of this to obviously work it 194 00:17:25,334 --> 00:17:29,100 this to obviously work it involves the Bluetooth function 195 00:17:29,100 --> 00:17:31,067 involves the Bluetooth function on the people’s Mobile phones 196 00:17:31,067 --> 00:17:32,267 on the people’s Mobile phones to be activated and people to 197 00:17:32,267 --> 00:17:35,000 to be activated and people to accept that they wish to use 198 00:17:35,000 --> 00:17:36,234 accept that they wish to use this application and I think 199 00:17:36,234 --> 00:17:37,166 this application and I think that’s where we have an opt-in 200 00:17:37,166 --> 00:17:38,267 that’s where we have an opt-in process of the many countries 201 00:17:38,267 --> 00:17:42,533 process of the many countries of. Process with that each 202 00:17:42,533 --> 00:17:44,133 of. Process with that each country is using a slightly 203 00:17:44,133 --> 00:17:44,934 country is using a slightly different application with 204 00:17:44,934 --> 00:17:47,167 different application with slightly different opt-in or 205 00:17:47,167 --> 00:17:49,401 slightly different opt-in or opt-out processes, and 206 00:17:49,401 --> 00:17:50,533 opt-out processes, and obviously countries have to 207 00:17:50,533 --> 00:17:52,399 obviously countries have to take very good care of the fact 208 00:17:52,399 --> 00:17:55,233 take very good care of the fact that tracking people’s 209 00:17:55,233 --> 00:17:56,133 that tracking people’s location. it needs to be done 210 00:17:56,133 --> 00:17:59,066 location. it needs to be done for the sole purpose of Covid-, 211 00:17:59,066 --> 00:18:00,366 for the sole purpose of Covid-, 19 response and and that that 212 00:18:00,366 --> 00:18:02,333 19 response and and that that is something that is being 213 00:18:02,333 --> 00:18:04,000 is something that is being discussed actively in each 214 00:18:04,000 --> 00:18:06,399 discussed actively in each country from our perspective, 215 00:18:06,399 --> 00:18:10,201 country from our perspective, on WHO we are working with many 216 00:18:10,201 --> 00:18:10,867 on WHO we are working with many of these developers around the 217 00:18:10,867 --> 00:18:11,734 of these developers around the world and looking at 218 00:18:11,734 --> 00:18:15,066 world and looking at these applications. And then 219 00:18:15,066 --> 00:18:18,033 these applications. And then trying to to establish 220 00:18:18,033 --> 00:18:19,366 trying to to establish applications or buts that we 221 00:18:19,366 --> 00:18:20,734 applications or buts that we can offer to countries who they 222 00:18:20,734 --> 00:18:22,099 can offer to countries who they can adapt to their own use. 223 00:18:22,099 --> 00:18:24,267 can adapt to their own use. Should they wish to a good 224 00:18:24,267 --> 00:18:25,467 Should they wish to a good example of that is the goal the 225 00:18:25,467 --> 00:18:27,100 example of that is the goal the application, which is a contact 226 00:18:27,100 --> 00:18:30,000 application, which is a contact tracing system that allows 227 00:18:30,000 --> 00:18:30,799 tracing system that allows countries to maintain a very 228 00:18:30,799 --> 00:18:33,967 countries to maintain a very sophisticated database of 229 00:18:33,967 --> 00:18:36,333 sophisticated database of contacts cases, lab results and 230 00:18:36,333 --> 00:18:38,000 contacts cases, lab results and allows a public health 231 00:18:38,000 --> 00:18:39,267 allows a public health authorities to construct 232 00:18:39,267 --> 00:18:41,267 authorities to construct transmission chains and manage 233 00:18:41,267 --> 00:18:41,933 transmission chains and manage whole process of contact 234 00:18:41,933 --> 00:18:45,766 whole process of contact tracing and we’ve made that. 235 00:18:45,800 --> 00:18:47,467 Available to all countries in 236 00:18:47,467 --> 00:18:50,000 Available to all countries in many countries are now using 237 00:18:50,000 --> 00:18:52,433 many countries are now using that as a as a way of managing 238 00:18:52,433 --> 00:18:54,133 that as a as a way of managing all of the days around cases 239 00:18:54,133 --> 00:18:55,534 all of the days around cases that does not involve 240 00:18:55,534 --> 00:18:58,133 that does not involve individuals Mobile phones being 241 00:18:58,133 --> 00:18:59,500 individuals Mobile phones being tracked anyway. That’s just 242 00:18:59,500 --> 00:19:01,967 tracked anyway. That’s just purely to aid the process of 243 00:19:01,967 --> 00:19:03,166 purely to aid the process of contact tracing and the process 244 00:19:03,166 --> 00:19:04,600 contact tracing and the process of integrating all of the data, 245 00:19:04,600 --> 00:19:06,967 of integrating all of the data, one of the weaknesses in this 246 00:19:06,967 --> 00:19:08,600 one of the weaknesses in this whole response are one of the 247 00:19:08,600 --> 00:19:10,066 whole response are one of the challenges has been how do you 248 00:19:10,066 --> 00:19:11,100 challenges has been how do you integrate days from the 249 00:19:11,100 --> 00:19:11,967 integrate days from the hospital days from the public 250 00:19:11,967 --> 00:19:14,599 hospital days from the public health system data from. And 251 00:19:14,599 --> 00:19:15,867 health system data from. And you’ll see the frustrations 252 00:19:15,867 --> 00:19:17,400 you’ll see the frustrations from people say we don’t have 253 00:19:17,400 --> 00:19:18,667 from people say we don’t have the data or where is the day So 254 00:19:18,667 --> 00:19:21,266 the data or where is the day So very often the problem is that 255 00:19:21,266 --> 00:19:22,433 very often the problem is that different parts of the health 256 00:19:22,433 --> 00:19:23,434 different parts of the health system are generating data for 257 00:19:23,434 --> 00:19:24,900 system are generating data for different purposes, and that 258 00:19:24,900 --> 00:19:26,667 different purposes, and that data that doesn’t come together 259 00:19:26,667 --> 00:19:28,800 data that doesn’t come together in a way that helps drive the 260 00:19:28,800 --> 00:19:29,966 in a way that helps drive the response and it takes time for 261 00:19:29,966 --> 00:19:31,867 response and it takes time for that to happen so applications 262 00:19:31,867 --> 00:19:32,599 that to happen so applications that are assisting with that 263 00:19:32,599 --> 00:19:34,133 that are assisting with that are extremely useful. so I 264 00:19:34,133 --> 00:19:35,867 are extremely useful. so I would just you know like to 265 00:19:35,867 --> 00:19:37,566 would just you know like to clarify this in one app. It is 266 00:19:37,566 --> 00:19:38,833 clarify this in one app. It is a one way of doing things each 267 00:19:38,833 --> 00:19:40,766 a one way of doing things each and every one of these 268 00:19:40,766 --> 00:19:41,667 and every one of these applications needs to be looked 269 00:19:41,667 --> 00:19:42,267 applications needs to be looked up by National authorities and 270 00:19:42,267 --> 00:19:43,734 up by National authorities and to see how the app can help 271 00:19:43,734 --> 00:19:48,099 to see how the app can help them. Do a better public health 272 00:19:48,099 --> 00:19:51,967 them. Do a better public health of testing tracing tracking. 273 00:20:01,800 --> 00:20:04,833 Missi 274 00:20:05,367 --> 00:20:13,334 bhi three caan vaas. 275 00:20:15,033 --> 00:20:21,000 Microfone Aí, Cê tira 276 00:20:22,033 --> 00:20:25,234 mostra 277 00:20:25,967 --> 00:20:29,000 ó. 278 00:20:31,533 --> 00:20:39,000 primeira final Ligue e eu. 279 00:22:16,601 --> 00:22:23,001 été adoptée et je pense que si 280 00:22:23,001 --> 00:22:24,767 été adoptée et je pense que si le gouvernement les fédérations 281 00:22:24,767 --> 00:22:25,400 le gouvernement les fédérations de ce pays nous posent la 282 00:22:25,400 --> 00:22:26,434 de ce pays nous posent la question et bien nous sommes 283 00:22:26,434 --> 00:22:28,200 question et bien nous sommes tout à fait prêts à leur donner 284 00:22:28,200 --> 00:22:29,466 tout à fait prêts à leur donner euh à la fois de conseils et 285 00:22:29,466 --> 00:22:32,766 euh à la fois de conseils et nos avis. Merci. 286 00:22:35,333 --> 00:22:38,934 Ben je sais pas si 287 00:23:23,966 --> 00:23:25,233 Prime Minister Trudeau is one 288 00:23:25,233 --> 00:23:27,099 Prime Minister Trudeau is one of the last world leaders to 289 00:23:27,099 --> 00:23:28,799 of the last world leaders to indicate that he’d like to 290 00:23:28,799 --> 00:23:31,866 indicate that he’d like to examine the timeline for the 291 00:23:31,866 --> 00:23:33,099 examine the timeline for the declaration of the global 292 00:23:33,099 --> 00:23:35,233 declaration of the global public health emergency and I 293 00:23:35,233 --> 00:23:38,967 public health emergency and I wanted to ask you in 2015 and 294 00:23:38,967 --> 00:23:41,000 wanted to ask you in 2015 and independent panel of experts 295 00:23:41,000 --> 00:23:42,433 independent panel of experts that included members of the 296 00:23:42,433 --> 00:23:45,099 that included members of the Harvard Global Health Institute 297 00:23:45,099 --> 00:23:46,333 Harvard Global Health Institute in London School of Hygiene and 298 00:23:46,333 --> 00:23:47,966 in London School of Hygiene and Tropical Medicine, where they 299 00:23:47,966 --> 00:23:50,200 Tropical Medicine, where they recommended that who consider 300 00:23:50,200 --> 00:23:54,934 recommended that who consider handing over its declarations. 301 00:23:54,967 --> 00:23:56,567 And that there’ll be 302 00:23:56,567 --> 00:23:57,899 And that there’ll be establishment of the new Global 303 00:23:57,899 --> 00:24:00,600 establishment of the new Global health Committee within the UN 304 00:24:00,600 --> 00:24:01,966 health Committee within the UN Security Council. I’m wondering 305 00:24:01,966 --> 00:24:03,966 Security Council. I’m wondering giving the criticism of the 306 00:24:03,966 --> 00:24:05,966 giving the criticism of the White House and concerns about 307 00:24:05,966 --> 00:24:08,367 White House and concerns about the world leaders with WHO 308 00:24:08,367 --> 00:24:10,199 the world leaders with WHO consider a reform to that 309 00:24:10,199 --> 00:24:13,800 consider a reform to that extent, at least to down some 310 00:24:13,800 --> 00:24:16,066 extent, at least to down some of the concerns and criticisms 311 00:24:16,066 --> 00:24:16,667 of the concerns and criticisms coming from world leaders. 312 00:24:16,667 --> 00:24:19,800 coming from world leaders. Thank you. 313 00:24:20,867 --> 00:24:26,734 Yeah. Thank you on assessments, 314 00:24:26,734 --> 00:24:30,401 Yeah. Thank you on assessments, I know that has a culture of 315 00:24:30,401 --> 00:24:33,133 I know that has a culture of assessing issues and it has a 316 00:24:33,133 --> 00:24:36,000 assessing issues and it has a process called the after action 317 00:24:36,000 --> 00:24:41,867 process called the after action review and WHO actually want 318 00:24:41,867 --> 00:24:46,667 review and WHO actually want any more than anyone and we 319 00:24:46,667 --> 00:24:49,266 any more than anyone and we will do the assessment when the 320 00:24:49,266 --> 00:24:50,533 will do the assessment when the time comes and what we call the 321 00:24:50,533 --> 00:24:54,800 time comes and what we call the after action review. So. 322 00:25:38,967 --> 00:25:41,533 Please unmute yourself If we 323 00:25:41,533 --> 00:25:44,200 Please unmute yourself If we can we do we have someone from 324 00:25:44,200 --> 00:25:48,834 can we do we have someone from the people’s daily. 325 00:25:50,467 --> 00:25:52,967 Okay so then and then we will 326 00:25:52,967 --> 00:25:57,099 Okay so then and then we will go to the next one. Let’s go to 327 00:25:57,099 --> 00:25:58,734 go to the next one. Let’s go to Jami Chadd our friend based 328 00:25:58,734 --> 00:26:00,066 Jami Chadd our friend based here in Geneva representing 329 00:26:00,066 --> 00:26:05,133 here in Geneva representing number of Brazilian press Jami. 330 00:26:05,133 --> 00:26:05,667 number of Brazilian press Jami. please the deek. Thank you very 331 00:26:05,667 --> 00:26:08,233 please the deek. Thank you very much. This is Charmin shain my 332 00:26:08,233 --> 00:26:11,866 much. This is Charmin shain my question in Portuguese so 333 00:26:11,866 --> 00:26:14,667 question in Portuguese so doctor Tds. My question is 334 00:26:14,667 --> 00:26:16,999 doctor Tds. My question is about the specific situation of 335 00:26:16,999 --> 00:26:21,267 about the specific situation of the city of Manas in Amazon. 336 00:26:50,066 --> 00:26:51,333 Yeah, as you know, we’re 337 00:26:51,333 --> 00:26:54,099 Yeah, as you know, we’re working with the government of 338 00:26:54,099 --> 00:26:56,434 working with the government of so we will continue to work 339 00:26:56,434 --> 00:26:59,401 so we will continue to work with them and address you know 340 00:26:59,401 --> 00:27:01,067 with them and address you know or give any support they need. 341 00:27:01,067 --> 00:27:04,166 or give any support they need. Thank you. 342 00:27:35,933 --> 00:27:36,734 Of a government request to to 343 00:27:36,734 --> 00:27:39,700 Of a government request to to do so. If I could just add, 344 00:27:39,700 --> 00:27:41,700 do so. If I could just add, it’s not specific to Brazil, 345 00:27:41,700 --> 00:27:43,067 it’s not specific to Brazil, but just to say that in this 346 00:27:43,067 --> 00:27:43,700 but just to say that in this new normal that we’re in right 347 00:27:43,700 --> 00:27:45,499 new normal that we’re in right now where we’re not able to 348 00:27:45,499 --> 00:27:46,133 now where we’re not able to travel, We’re not able to get 349 00:27:46,133 --> 00:27:47,533 travel, We’re not able to get to all of the places that we 350 00:27:47,533 --> 00:27:48,534 to all of the places that we would like to get to. we’re 351 00:27:48,534 --> 00:27:50,000 would like to get to. we’re finding new ways in which we 352 00:27:50,000 --> 00:27:51,466 finding new ways in which we can try to provide support to 353 00:27:51,466 --> 00:27:54,000 can try to provide support to countries and in some countries 354 00:27:54,000 --> 00:27:55,399 countries and in some countries we’re doing this virtual 355 00:27:55,399 --> 00:27:58,933 we’re doing this virtual missions where we have a set 356 00:27:58,933 --> 00:27:59,967 missions where we have a set agenda and meetings where we’re 357 00:27:59,967 --> 00:28:01,667 agenda and meetings where we’re having these missions over a 358 00:28:01,667 --> 00:28:03,634 having these missions over a zoom over Skype over whatever 359 00:28:03,634 --> 00:28:05,667 zoom over Skype over whatever platform that we have but just 360 00:28:05,667 --> 00:28:07,167 platform that we have but just so just to to add that even if 361 00:28:07,167 --> 00:28:09,467 so just to to add that even if we physically can’t get to a 362 00:28:09,467 --> 00:28:10,099 we physically can’t get to a location because of the 363 00:28:10,099 --> 00:28:11,900 location because of the pandemic we’re finding 364 00:28:11,900 --> 00:28:12,533 pandemic we’re finding different ways to provide 365 00:28:12,533 --> 00:28:13,333 different ways to provide support where that support is 366 00:28:13,333 --> 00:28:19,234 support where that support is needed. As that support is. 367 00:28:55,333 --> 00:28:58,234 Do that if China’s continues to 368 00:28:58,234 --> 00:28:59,467 Do that if China’s continues to resist their participation? 369 00:28:59,467 --> 00:29:01,967 resist their participation? Thank you. Thank you very much. 370 00:29:01,967 --> 00:29:03,367 Thank you. Thank you very much. Lucas and I apologize that I 371 00:29:03,367 --> 00:29:06,966 Lucas and I apologize that I did not introduce our guests 372 00:29:06,966 --> 00:29:09,300 did not introduce our guests our fourth Speaker here. it’s 373 00:29:09,300 --> 00:29:11,699 our fourth Speaker here. it’s mister Derek Walton, who is a 374 00:29:11,699 --> 00:29:14,033 mister Derek Walton, who is a legal counsel of the show. He’s 375 00:29:14,033 --> 00:29:14,634 legal counsel of the show. He’s here with us and I think he 376 00:29:14,634 --> 00:29:15,067 here with us and I think he would like to take this 377 00:29:15,067 --> 00:29:18,267 would like to take this question. 378 00:29:18,899 --> 00:29:21,100 Thank you very much and and 379 00:29:21,100 --> 00:29:22,399 Thank you very much and and yes, of course, we have the 380 00:29:22,399 --> 00:29:23,833 yes, of course, we have the World Health Assembly coming up 381 00:29:23,833 --> 00:29:25,434 World Health Assembly coming up on the eighteenth and 382 00:29:25,434 --> 00:29:28,000 on the eighteenth and nineteenth of May of this year, 383 00:29:28,000 --> 00:29:29,633 nineteenth of May of this year, it will be held virtually and 384 00:29:29,633 --> 00:29:31,166 it will be held virtually and it will be a de Minimus 385 00:29:31,166 --> 00:29:32,900 it will be a de Minimus session, which means it will 386 00:29:32,900 --> 00:29:37,434 session, which means it will focus principally on the covid- 387 00:29:37,434 --> 00:29:37,467 focus principally on the covid- 19 388 00:29:37,467 --> 00:29:39,066 19 pandemic the involvement if 389 00:29:39,066 --> 00:29:41,833 19 pandemic the involvement if any of observers from Taiwan 390 00:29:41,833 --> 00:29:43,900 any of observers from Taiwan China in that Assembly is a 391 00:29:43,900 --> 00:29:47,966 China in that Assembly is a question for A hundred and 90 - 392 00:29:47,966 --> 00:29:48,833 question for A hundred and 90 - four members of WHO member 393 00:29:48,833 --> 00:29:49,433 four members of WHO member governments. It’s their 394 00:29:49,433 --> 00:29:52,500 governments. It’s their decision 395 00:30:24,933 --> 00:30:27,799 When experts were included at 396 00:30:27,799 --> 00:30:29,500 When experts were included at eight expert meetings and that 397 00:30:29,500 --> 00:30:31,633 eight expert meetings and that there were six other informal 398 00:30:31,633 --> 00:30:32,999 there were six other informal technical meetings and this 399 00:30:32,999 --> 00:30:33,633 technical meetings and this year, there have been contacts 400 00:30:33,633 --> 00:30:37,633 year, there have been contacts in response to covid- 19 401 00:30:37,633 --> 00:30:38,900 in response to covid- 19 involving Taiwanese experts in 402 00:30:38,900 --> 00:30:41,433 involving Taiwanese experts in key groups and networks and I 403 00:30:41,433 --> 00:30:43,333 key groups and networks and I think we’ve given details of 404 00:30:43,333 --> 00:30:45,633 think we’ve given details of that on previous occasions but 405 00:30:45,633 --> 00:30:47,700 that on previous occasions but for this year as I say, the 406 00:30:47,700 --> 00:30:48,633 for this year as I say, the question is for the Health 407 00:30:48,633 --> 00:30:49,700 question is for the Health Assembly, it’s for the member 408 00:30:49,700 --> 00:30:51,200 Assembly, it’s for the member States rather than the 409 00:30:51,200 --> 00:30:52,166 States rather than the Secretary at to decide that 410 00:30:52,166 --> 00:30:55,833 Secretary at to decide that question Thank you. 411 00:30:58,167 --> 00:31:00,466 Thank you very much we still 412 00:31:00,466 --> 00:31:02,634 Thank you very much we still Walton for this explanation and 413 00:31:02,634 --> 00:31:05,966 Walton for this explanation and next question is for Rodriguez 414 00:31:05,966 --> 00:31:09,034 next question is for Rodriguez for from Gui Chronicles Sabia. 415 00:31:09,034 --> 00:31:12,700 for from Gui Chronicles Sabia. I can you hear me. 416 00:31:13,467 --> 00:31:15,900 yes, okay. my question goes out 417 00:31:15,900 --> 00:31:19,934 yes, okay. my question goes out to Doctor Tds on January 14, 418 00:31:19,934 --> 00:31:23,100 to Doctor Tds on January 14, who stated preliminary 419 00:31:23,100 --> 00:31:24,399 who stated preliminary investigations conducted by the 420 00:31:24,399 --> 00:31:26,866 investigations conducted by the Chinese authorities have found 421 00:31:26,866 --> 00:31:29,534 Chinese authorities have found no clear evidence of human to 422 00:31:29,534 --> 00:31:32,500 no clear evidence of human to human transmission of the noble 423 00:31:32,500 --> 00:31:34,933 human transmission of the noble Corona’s I identify in Phan 424 00:31:34,933 --> 00:31:36,800 Corona’s I identify in Phan China as an independent Global 425 00:31:36,800 --> 00:31:38,800 China as an independent Global Health Organization. Why did 426 00:31:38,800 --> 00:31:40,967 Health Organization. Why did who have to rely on China’s 427 00:31:40,967 --> 00:31:41,833 who have to rely on China’s preliminary investigations into 428 00:31:41,833 --> 00:31:45,700 preliminary investigations into the human to human transfer? 429 00:32:30,999 --> 00:32:32,234 whenever you hear of a of a 430 00:32:32,234 --> 00:32:34,633 whenever you hear of a of a cluster of an Atp pneumonia, 431 00:32:34,633 --> 00:32:35,100 cluster of an Atp pneumonia, you think respiratory and you 432 00:32:35,100 --> 00:32:36,999 you think respiratory and you think human to human 433 00:32:36,999 --> 00:32:38,600 think human to human transmission. It’s not if it’s 434 00:32:38,600 --> 00:32:39,833 transmission. It’s not if it’s just what is the extent of 435 00:32:39,833 --> 00:32:41,300 just what is the extent of human to human transmission 436 00:32:41,300 --> 00:32:42,967 human to human transmission that may be happening within 437 00:32:42,967 --> 00:32:45,300 that may be happening within hours of that notification, 438 00:32:45,300 --> 00:32:46,467 hours of that notification, that was picked up through our 439 00:32:46,467 --> 00:32:48,799 that was picked up through our E. I o S system. We activated 440 00:32:48,799 --> 00:32:50,433 E. I o S system. We activated our emergency systems at the 441 00:32:50,433 --> 00:32:51,100 our emergency systems at the three level of the 442 00:32:51,100 --> 00:32:52,966 three level of the Organization, which means our 443 00:32:52,966 --> 00:32:53,667 Organization, which means our headquarters our regional 444 00:32:53,667 --> 00:32:55,233 headquarters our regional office and our country office 445 00:32:55,233 --> 00:32:57,000 office and our country office in China where we were having 446 00:32:57,000 --> 00:32:58,000 in China where we were having discussions about what we knew 447 00:32:58,000 --> 00:32:58,633 discussions about what we knew what questions needed to be 448 00:32:58,633 --> 00:33:02,099 what questions needed to be asked we immediately post. To 449 00:33:02,099 --> 00:33:04,099 asked we immediately post. To our colleagues in China to ask 450 00:33:04,099 --> 00:33:05,599 our colleagues in China to ask for more information as we do 451 00:33:05,599 --> 00:33:08,234 for more information as we do with all clusters are all 452 00:33:08,234 --> 00:33:09,500 with all clusters are all alerts are all signals that we 453 00:33:09,500 --> 00:33:12,333 alerts are all signals that we pick up through the electronic 454 00:33:12,333 --> 00:33:14,233 pick up through the electronic monitoring systems from the 455 00:33:14,233 --> 00:33:16,233 monitoring systems from the beginning we assumed that there 456 00:33:16,233 --> 00:33:17,599 beginning we assumed that there would be human to human 457 00:33:17,599 --> 00:33:19,966 would be human to human transmission and in our first 458 00:33:19,966 --> 00:33:21,867 transmission and in our first reporting to our member States 459 00:33:21,867 --> 00:33:23,933 reporting to our member States and contact points on the fifth 460 00:33:23,933 --> 00:33:25,399 and contact points on the fifth of January, it’s in our EIS, 461 00:33:25,399 --> 00:33:27,233 of January, it’s in our EIS, which is event information 462 00:33:27,233 --> 00:33:28,166 which is event information system. We included detailed 463 00:33:28,166 --> 00:33:29,000 system. We included detailed information about the cluster 464 00:33:29,000 --> 00:33:32,500 information about the cluster itself and About protecting 465 00:33:32,500 --> 00:33:34,966 itself and About protecting against acute respiratory 466 00:33:34,966 --> 00:33:36,333 against acute respiratory infections we also published on 467 00:33:36,333 --> 00:33:38,000 infections we also published on that day our first disease 468 00:33:38,000 --> 00:33:40,599 that day our first disease outbreak news from there we 469 00:33:40,599 --> 00:33:42,099 outbreak news from there we worked with our international 470 00:33:42,099 --> 00:33:45,434 worked with our international partners to develop guidance 471 00:33:45,434 --> 00:33:47,033 partners to develop guidance which is around how do you find 472 00:33:47,033 --> 00:33:47,833 which is around how do you find cases? How do you protect 473 00:33:47,833 --> 00:33:50,900 cases? How do you protect health care workers? How do you 474 00:33:50,900 --> 00:33:54,033 health care workers? How do you treat patients and all of those 475 00:33:54,033 --> 00:33:55,467 treat patients and all of those guidance materials were 476 00:33:55,467 --> 00:33:56,634 guidance materials were guidance materials that we 477 00:33:56,634 --> 00:33:58,000 guidance materials that we adapted from our marrs guidance 478 00:33:58,000 --> 00:34:01,399 adapted from our marrs guidance materials, which included. 479 00:34:01,399 --> 00:34:03,700 materials, which included. About how to protect from human 480 00:34:03,700 --> 00:34:05,533 About how to protect from human to human transmission because 481 00:34:05,533 --> 00:34:07,300 to human transmission because these viruses are transmitted 482 00:34:07,300 --> 00:34:08,999 these viruses are transmitted by respiratory droplets in 483 00:34:08,999 --> 00:34:10,633 by respiratory droplets in contact so our first guidance 484 00:34:10,633 --> 00:34:11,633 contact so our first guidance that was issued was on the 485 00:34:11,633 --> 00:34:13,300 that was issued was on the tenth of January, which 486 00:34:13,300 --> 00:34:14,534 tenth of January, which included information about how 487 00:34:14,534 --> 00:34:16,133 included information about how to protect against human to 488 00:34:16,133 --> 00:34:17,533 to protect against human to human transmission. So that’s 489 00:34:17,533 --> 00:34:19,700 human transmission. So that’s important. I did a press 490 00:34:19,700 --> 00:34:20,833 important. I did a press conference on the fourteenth. 491 00:34:20,833 --> 00:34:22,700 conference on the fourteenth. where I described I did this 492 00:34:22,700 --> 00:34:24,999 where I described I did this with terk. I described what we 493 00:34:24,999 --> 00:34:27,133 with terk. I described what we knew and at the time there were 494 00:34:27,133 --> 00:34:28,700 knew and at the time there were 41 confirmed cases the novel 495 00:34:28,700 --> 00:34:32,999 41 confirmed cases the novel knaves. Have been identified 496 00:34:32,999 --> 00:34:34,700 knaves. Have been identified PCR essays were available in 497 00:34:34,700 --> 00:34:35,966 PCR essays were available in China and they confirmed that 498 00:34:35,966 --> 00:34:39,000 China and they confirmed that 41 out of the initial more than 499 00:34:39,000 --> 00:34:41,233 41 out of the initial more than a hundred suspects. patients 500 00:34:41,233 --> 00:34:42,799 a hundred suspects. patients actually had this now we call 501 00:34:42,799 --> 00:34:45,100 actually had this now we call Covid- 19, but at the time 502 00:34:45,100 --> 00:34:46,933 Covid- 19, but at the time we’re calling it a novel, 503 00:34:46,933 --> 00:34:49,000 we’re calling it a novel, Corina virus and so in that, in 504 00:34:49,000 --> 00:34:52,867 Corina virus and so in that, in those 41 cases described that 505 00:34:52,867 --> 00:34:54,867 those 41 cases described that there may be human to human 506 00:34:54,867 --> 00:34:56,000 there may be human to human transmission, mainly among 507 00:34:56,000 --> 00:34:57,300 transmission, mainly among close contacts. it’s very 508 00:34:57,300 --> 00:35:00,366 close contacts. it’s very important that we see you on. 509 00:35:00,366 --> 00:35:01,767 important that we see you on. That we receive information 510 00:35:01,767 --> 00:35:03,233 That we receive information from our member States, but we 511 00:35:03,233 --> 00:35:04,633 from our member States, but we also go back and ask lots of 512 00:35:04,633 --> 00:35:06,333 also go back and ask lots of questions. We always do this. 513 00:35:06,333 --> 00:35:07,799 questions. We always do this. it’s not unique to this 514 00:35:07,799 --> 00:35:08,700 it’s not unique to this particular situation or you 515 00:35:08,700 --> 00:35:10,999 particular situation or you need to China and we base our 516 00:35:10,999 --> 00:35:13,599 need to China and we base our actions on what we know and 517 00:35:13,599 --> 00:35:15,300 actions on what we know and what our experience is in with 518 00:35:15,300 --> 00:35:17,333 what our experience is in with other similar pathogens, other 519 00:35:17,333 --> 00:35:18,733 other similar pathogens, other similar situations from the 520 00:35:18,733 --> 00:35:20,466 similar situations from the beginning, we expected that 521 00:35:20,466 --> 00:35:22,533 beginning, we expected that there could be human to human 522 00:35:22,533 --> 00:35:23,234 there could be human to human transmission. It was just a 523 00:35:23,234 --> 00:35:24,633 transmission. It was just a matter of how much was actually 524 00:35:24,633 --> 00:35:26,234 matter of how much was actually occurring, where was it 525 00:35:26,234 --> 00:35:26,967 occurring, where was it occurring and so initially we 526 00:35:26,967 --> 00:35:30,033 occurring and so initially we thought it would be among. 527 00:35:30,033 --> 00:35:30,799 thought it would be among. Close contacts through 528 00:35:30,799 --> 00:35:32,566 Close contacts through respiratory droplets and that 529 00:35:32,566 --> 00:35:37,433 respiratory droplets and that is still the case today. 530 00:35:38,899 --> 00:35:42,467 You won’t Thank you very much 531 00:35:42,467 --> 00:35:43,300 You won’t Thank you very much just one thing to supplement to 532 00:35:43,300 --> 00:35:45,700 just one thing to supplement to in two weeks, maybe explaining 533 00:35:45,700 --> 00:35:48,166 in two weeks, maybe explaining to people the incident command 534 00:35:48,166 --> 00:35:49,633 to people the incident command system at the WHO we operate 535 00:35:49,633 --> 00:35:52,933 system at the WHO we operate under a very well documented 536 00:35:52,933 --> 00:35:55,000 under a very well documented emergency response framework, 537 00:35:55,000 --> 00:35:57,633 emergency response framework, which is an Organization like 538 00:35:57,633 --> 00:35:58,999 which is an Organization like Framework for managing 539 00:35:58,999 --> 00:36:00,967 Framework for managing emergencies. it is constantly 540 00:36:00,967 --> 00:36:04,000 emergencies. it is constantly under review and in the process 541 00:36:04,000 --> 00:36:05,433 under review and in the process of epidemic or emergency 542 00:36:05,433 --> 00:36:06,500 of epidemic or emergency intelligence gathering we can 543 00:36:06,500 --> 00:36:09,700 intelligence gathering we can get up. 544 00:36:10,066 --> 00:36:12,799 3000 signals a week sometimes 545 00:36:12,799 --> 00:36:14,733 3000 signals a week sometimes that require follow up and what 546 00:36:14,733 --> 00:36:16,500 that require follow up and what we’re constantly doing is 547 00:36:16,500 --> 00:36:17,901 we’re constantly doing is sifting through the various 548 00:36:17,901 --> 00:36:20,999 sifting through the various epidemic signals we use our own 549 00:36:20,999 --> 00:36:23,199 epidemic signals we use our own expert networks to do that 550 00:36:23,199 --> 00:36:24,633 expert networks to do that seeking information from 551 00:36:24,633 --> 00:36:27,033 seeking information from countries to systems of have a 552 00:36:27,033 --> 00:36:27,833 countries to systems of have a I components we’re looking for 553 00:36:27,833 --> 00:36:29,100 I components we’re looking for unusual events and picking them 554 00:36:29,100 --> 00:36:32,399 unusual events and picking them out of the background noise for 555 00:36:32,399 --> 00:36:35,500 out of the background noise for many outbreaks that occur, we 556 00:36:35,500 --> 00:36:37,233 many outbreaks that occur, we would generally wait for some 557 00:36:37,233 --> 00:36:38,500 would generally wait for some level of confirmation of the 558 00:36:38,500 --> 00:36:41,900 level of confirmation of the disease before triggering. 559 00:36:41,900 --> 00:36:43,799 disease before triggering. Incident management system for 560 00:36:43,799 --> 00:36:44,866 Incident management system for that specific event we follow 561 00:36:44,866 --> 00:36:46,233 that specific event we follow every event, but for certain 562 00:36:46,233 --> 00:36:48,467 every event, but for certain events we trigger the IMS. The 563 00:36:48,467 --> 00:36:50,799 events we trigger the IMS. The IMS is a special mechanism that 564 00:36:50,799 --> 00:36:52,633 IMS is a special mechanism that creates a special and dedicated 565 00:36:52,633 --> 00:36:54,233 creates a special and dedicated multidisciplinary team across 566 00:36:54,233 --> 00:36:56,099 multidisciplinary team across the three levels of the 567 00:36:56,099 --> 00:36:57,400 the three levels of the Organization and ensures that 568 00:36:57,400 --> 00:36:59,100 Organization and ensures that event gets a dedicated response 569 00:36:59,100 --> 00:37:00,399 event gets a dedicated response for the amount of time it needs 570 00:37:00,399 --> 00:37:02,833 for the amount of time it needs to bring the event to an end 571 00:37:02,833 --> 00:37:04,099 to bring the event to an end and to support our member 572 00:37:04,099 --> 00:37:05,500 and to support our member States in that response that 573 00:37:05,500 --> 00:37:07,166 States in that response that incident management system was 574 00:37:07,166 --> 00:37:09,100 incident management system was established for this event 575 00:37:09,100 --> 00:37:09,933 established for this event without a diagnosis of the 576 00:37:09,933 --> 00:37:10,633 without a diagnosis of the disease and without the virus 577 00:37:10,633 --> 00:37:14,000 disease and without the virus being known. On the first of 578 00:37:14,000 --> 00:37:15,699 being known. On the first of January, and that IMS is remain 579 00:37:15,699 --> 00:37:17,367 January, and that IMS is remain in place every single day and 580 00:37:17,367 --> 00:37:19,333 in place every single day and is operated as one entity 581 00:37:19,333 --> 00:37:20,399 is operated as one entity across the three levels of the 582 00:37:20,399 --> 00:37:24,334 across the three levels of the Organization since that day. 583 00:37:25,300 --> 00:37:28,400 So just one minute, I think it 584 00:37:28,400 --> 00:37:30,499 So just one minute, I think it has been covered properly but 585 00:37:30,499 --> 00:37:35,567 has been covered properly but wanted to clarify one aspect 586 00:37:35,567 --> 00:37:37,499 wanted to clarify one aspect the room we have in WHO and 587 00:37:37,499 --> 00:37:40,099 the room we have in WHO and other UN agencies agencies when 588 00:37:40,099 --> 00:37:44,166 other UN agencies agencies when a member, state reports, we 589 00:37:44,166 --> 00:37:45,800 a member, state reports, we post the member state report, 590 00:37:45,800 --> 00:37:49,533 post the member state report, as is so what we did on January 591 00:37:49,533 --> 00:37:52,267 as is so what we did on January fourteenth in the twitterer, we 592 00:37:52,267 --> 00:37:55,833 fourteenth in the twitterer, we posted China’s report. 593 00:41:02,033 --> 00:41:04,534 From our member States to do 594 00:41:04,534 --> 00:41:05,967 From our member States to do that and in this case, if we 595 00:41:05,967 --> 00:41:08,433 that and in this case, if we look at in in addition to 596 00:41:08,433 --> 00:41:09,900 look at in in addition to a hundred and 50 officers, I 597 00:41:09,900 --> 00:41:11,267 a hundred and 50 officers, I think we’ve launched in excess 598 00:41:11,267 --> 00:41:13,833 think we’ve launched in excess of a-team missions to support 599 00:41:13,833 --> 00:41:14,967 of a-team missions to support our member States already in 600 00:41:14,967 --> 00:41:16,666 our member States already in this response, so we’re highly 601 00:41:16,666 --> 00:41:18,200 this response, so we’re highly reactive to request from member 602 00:41:18,200 --> 00:41:19,834 reactive to request from member States for assistance and 603 00:41:19,834 --> 00:41:21,534 States for assistance and investigation, diagnosis and 604 00:41:21,534 --> 00:41:22,833 investigation, diagnosis and control, and we do that 605 00:41:22,833 --> 00:41:24,466 control, and we do that constantly And it and at one 606 00:41:24,466 --> 00:41:25,900 constantly And it and at one time around the world, we are 607 00:41:25,900 --> 00:41:27,800 time around the world, we are responding to at least 30 608 00:41:27,800 --> 00:41:29,000 responding to at least 30 greater emergencies in which we 609 00:41:29,000 --> 00:41:32,466 greater emergencies in which we have teams. The field at the 610 00:41:32,466 --> 00:41:36,000 have teams. The field at the request of our member States. 611 00:41:36,000 --> 00:41:38,567 request of our member States. Thank you very much for next 612 00:41:38,567 --> 00:41:41,534 Thank you very much for next question is for John Quinn from 613 00:41:41,534 --> 00:41:46,867 question is for John Quinn from Science John John. Can you say 614 00:41:46,867 --> 00:41:48,366 Science John John. Can you say WHO took the lead in organizing 615 00:41:48,366 --> 00:41:49,700 WHO took the lead in organizing an international team of 616 00:41:49,700 --> 00:41:53,267 an international team of scientists to visit China? 617 00:41:53,866 --> 00:41:55,000 WHO taking the lead in 618 00:41:55,000 --> 00:41:57,033 WHO taking the lead in organizing or pushing for an 619 00:41:57,033 --> 00:41:59,167 organizing or pushing for an international team to visit 620 00:41:59,167 --> 00:42:00,434 international team to visit China to study origin 621 00:42:00,434 --> 00:42:04,200 China to study origin questions. and if not why not? 622 00:42:05,200 --> 00:42:08,500 So I could start in there’s one 623 00:42:08,500 --> 00:42:09,167 So I could start in there’s one -A supplements so there have 624 00:42:09,167 --> 00:42:10,266 -A supplements so there have been indeed, there’s been three 625 00:42:10,266 --> 00:42:12,467 been indeed, there’s been three missions to China. the first 626 00:42:12,467 --> 00:42:15,034 missions to China. the first mission was from members of our 627 00:42:15,034 --> 00:42:16,600 mission was from members of our China Office or China Country 628 00:42:16,600 --> 00:42:18,933 China Office or China Country Office and members from Woodrow 629 00:42:18,933 --> 00:42:19,800 Office and members from Woodrow who went on the twentieth and 630 00:42:19,800 --> 00:42:21,967 who went on the twentieth and the 20 first of January, the 631 00:42:21,967 --> 00:42:23,300 the 20 first of January, the second mission, which I was 632 00:42:23,300 --> 00:42:24,666 second mission, which I was with the Director General and 633 00:42:24,666 --> 00:42:27,099 with the Director General and Doctor Mike Ryan and others 634 00:42:27,099 --> 00:42:28,466 Doctor Mike Ryan and others between the first and the 635 00:42:28,466 --> 00:42:30,066 between the first and the second emergency Committee 636 00:42:30,066 --> 00:42:31,666 second emergency Committee meetings that took place and 637 00:42:31,666 --> 00:42:33,200 meetings that took place and that was on the 28 or so of 638 00:42:33,200 --> 00:42:34,200 that was on the 28 or so of January and then there was a 639 00:42:34,200 --> 00:42:37,300 January and then there was a third mission. I was a part of 640 00:42:37,300 --> 00:42:42,500 third mission. I was a part of which was the joints WHO China 641 00:42:42,500 --> 00:42:43,800 which was the joints WHO China International mission in which 642 00:42:43,800 --> 00:42:45,567 International mission in which we had members from many 643 00:42:45,567 --> 00:42:47,167 we had members from many different countries, including 644 00:42:47,167 --> 00:42:49,467 different countries, including Germany, the United States, 645 00:42:49,467 --> 00:42:51,266 Germany, the United States, Nigeria Russia. I’m gonna 646 00:42:51,266 --> 00:42:53,467 Nigeria Russia. I’m gonna forget some but there were 647 00:42:53,467 --> 00:42:55,867 forget some but there were Japan. Thank you Korea. Thank 648 00:42:55,867 --> 00:42:57,833 Japan. Thank you Korea. Thank you and so we had a group of 649 00:42:57,833 --> 00:42:59,200 you and so we had a group of people who went and worked with 650 00:42:59,200 --> 00:43:01,800 people who went and worked with our Chinese counterparts and 651 00:43:01,800 --> 00:43:02,966 our Chinese counterparts and through those two weeks that we 652 00:43:02,966 --> 00:43:04,866 through those two weeks that we were there. we came up with a 653 00:43:04,866 --> 00:43:06,967 were there. we came up with a number of recommendations for 654 00:43:06,967 --> 00:43:08,666 number of recommendations for China itself for the rest of 655 00:43:08,666 --> 00:43:09,833 China itself for the rest of the world for the international 656 00:43:09,833 --> 00:43:12,600 the world for the international community that report. Online 657 00:43:12,600 --> 00:43:14,600 community that report. Online at remains online. it was 658 00:43:14,600 --> 00:43:15,934 at remains online. it was published very soon after we 659 00:43:15,934 --> 00:43:17,633 published very soon after we came back one of the 660 00:43:17,633 --> 00:43:20,000 came back one of the recommendations among many for 661 00:43:20,000 --> 00:43:20,934 recommendations among many for China was to look at what is 662 00:43:20,934 --> 00:43:23,967 China was to look at what is the source of this outbreak the 663 00:43:23,967 --> 00:43:24,600 the source of this outbreak the public health importance of 664 00:43:24,600 --> 00:43:27,167 public health importance of this is critical because 665 00:43:27,167 --> 00:43:28,367 this is critical because without knowing where the 666 00:43:28,367 --> 00:43:30,600 without knowing where the animal origin is it’s difficult 667 00:43:30,600 --> 00:43:32,066 animal origin is it’s difficult for us to attempt to prevent 668 00:43:32,066 --> 00:43:33,433 for us to attempt to prevent this from happening again. This 669 00:43:33,433 --> 00:43:34,933 this from happening again. This happens with all emerging 670 00:43:34,933 --> 00:43:36,666 happens with all emerging pathogens because most emerging 671 00:43:36,666 --> 00:43:39,067 pathogens because most emerging pathogens come from animals and 672 00:43:39,067 --> 00:43:41,466 pathogens come from animals and there is discussion with our 673 00:43:41,466 --> 00:43:43,000 there is discussion with our counterparts in China for a 674 00:43:43,000 --> 00:43:44,666 counterparts in China for a further in mission which would 675 00:43:44,666 --> 00:43:47,734 further in mission which would be. 676 00:43:47,866 --> 00:43:49,500 And focus and really focus on 677 00:43:49,500 --> 00:43:51,033 And focus and really focus on looking at what happened at the 678 00:43:51,033 --> 00:43:53,034 looking at what happened at the beginning in terms of the 679 00:43:53,034 --> 00:43:54,433 beginning in terms of the exposures with different 680 00:43:54,433 --> 00:43:56,266 exposures with different animals so that we can look to 681 00:43:56,266 --> 00:43:57,800 animals so that we can look to to have an approach to find the 682 00:43:57,800 --> 00:43:58,966 to have an approach to find the zoonotic source. So that is 683 00:43:58,966 --> 00:44:00,367 zoonotic source. So that is something that we are working 684 00:44:00,367 --> 00:44:01,334 something that we are working on right now with our 685 00:44:01,334 --> 00:44:02,967 on right now with our counterparts in China and we 686 00:44:02,967 --> 00:44:05,666 counterparts in China and we have offered support to do that 687 00:44:05,666 --> 00:44:06,334 have offered support to do that and we will look forward for 688 00:44:06,334 --> 00:44:09,567 and we will look forward for that happening. 689 00:44:11,800 --> 00:44:14,099 Thank you very much to next 690 00:44:14,099 --> 00:44:16,833 Thank you very much to next question comes from Pearl from 691 00:44:16,833 --> 00:44:17,400 question comes from Pearl from parliament. pearls. Can you 692 00:44:17,400 --> 00:44:20,666 parliament. pearls. Can you hear us? 693 00:44:22,434 --> 00:44:24,567 Let’s me try one more time from 694 00:44:24,567 --> 00:44:25,800 Let’s me try one more time from open parliament, you would need 695 00:44:25,800 --> 00:44:28,767 open parliament, you would need to unmute yourself. Yes. Thank 696 00:44:28,767 --> 00:44:30,767 to unmute yourself. Yes. Thank you very much for your 697 00:44:30,767 --> 00:44:32,934 you very much for your available and inviting me to 698 00:44:32,934 --> 00:44:34,600 available and inviting me to today’s briefing Doctor Chavis. 699 00:44:34,600 --> 00:44:38,200 today’s briefing Doctor Chavis. I appreciate that so for the 700 00:44:38,200 --> 00:44:39,467 I appreciate that so for the benefit of millions of people 701 00:44:39,467 --> 00:44:41,967 benefit of millions of people who live in autocratic WHO 702 00:44:41,967 --> 00:44:44,467 who live in autocratic WHO member States and where the 703 00:44:44,467 --> 00:44:46,600 member States and where the Democratic space is shrinking 704 00:44:46,600 --> 00:44:49,767 Democratic space is shrinking during during the the negative 705 00:44:49,767 --> 00:44:53,934 during during the the negative effects of cover 19. Can you 706 00:44:53,934 --> 00:44:55,367 effects of cover 19. Can you share clear data driven 707 00:44:55,367 --> 00:44:57,133 share clear data driven response in terms of lower 708 00:44:57,133 --> 00:44:59,499 response in terms of lower respiratory infections being 709 00:44:59,499 --> 00:45:01,934 respiratory infections being ranked second after HIV and 710 00:45:01,934 --> 00:45:04,600 ranked second after HIV and Aids, and it’s it’s ahead of 711 00:45:04,600 --> 00:45:07,367 Aids, and it’s it’s ahead of tuberculosis tuberculosis in 712 00:45:07,367 --> 00:45:10,000 tuberculosis tuberculosis in Zimbabwe. I ask that because 713 00:45:10,000 --> 00:45:11,634 Zimbabwe. I ask that because although I’m using Zimbabwe as 714 00:45:11,634 --> 00:45:14,199 although I’m using Zimbabwe as an example in my question, 715 00:45:14,199 --> 00:45:16,567 an example in my question, please reply with reference to 716 00:45:16,567 --> 00:45:18,299 please reply with reference to Mozambique, Tanzania Zambia, as 717 00:45:18,299 --> 00:45:20,399 Mozambique, Tanzania Zambia, as well as Zimbabwe given that 718 00:45:20,399 --> 00:45:22,299 well as Zimbabwe given that besides South Africa in the set 719 00:45:22,299 --> 00:45:23,467 besides South Africa in the set of region, these four countries 720 00:45:23,467 --> 00:45:26,567 of region, these four countries are lagging behind that. By 721 00:45:26,567 --> 00:45:28,934 are lagging behind that. By many weeks and no modelling 722 00:45:28,934 --> 00:45:29,900 many weeks and no modelling information is readily 723 00:45:29,900 --> 00:45:31,567 information is readily available to their populations 724 00:45:31,567 --> 00:45:34,000 available to their populations to even talk about a curve. 725 00:45:34,000 --> 00:45:35,967 to even talk about a curve. Moreover, in Zimbabwe, the 726 00:45:35,967 --> 00:45:37,000 Moreover, in Zimbabwe, the rapid diagnostic test kits can 727 00:45:37,000 --> 00:45:38,399 rapid diagnostic test kits can we please get that question 728 00:45:38,399 --> 00:45:40,767 we please get that question very shortly? Please Sure I’m 729 00:45:40,767 --> 00:45:42,666 very shortly? Please Sure I’m about to finish in particular 730 00:45:42,666 --> 00:45:44,467 about to finish in particular one for all currently being 731 00:45:44,467 --> 00:45:46,467 one for all currently being sourced in yesterday, there was 732 00:45:46,467 --> 00:45:47,600 sourced in yesterday, there was a flurry of debate about the 733 00:45:47,600 --> 00:45:49,400 a flurry of debate about the use of that country and their 734 00:45:49,400 --> 00:45:52,767 use of that country and their ability. Thank you. 735 00:45:52,934 --> 00:45:54,767 I’m not sure we understood 736 00:45:54,767 --> 00:46:00,400 I’m not sure we understood really the question here. So my 737 00:46:00,400 --> 00:46:02,099 really the question here. So my the question I’m asking is 738 00:46:02,099 --> 00:46:04,834 the question I’m asking is number one. Can you speak to 739 00:46:04,834 --> 00:46:06,934 number one. Can you speak to the lower respiratory 740 00:46:06,934 --> 00:46:08,000 the lower respiratory infections? are they ranked 741 00:46:08,000 --> 00:46:11,166 infections? are they ranked second behind HIV and Aids 742 00:46:11,166 --> 00:46:12,299 second behind HIV and Aids ahead of tuberculosis? I was 743 00:46:12,299 --> 00:46:13,666 ahead of tuberculosis? I was using Zimbabwe as an example, 744 00:46:13,666 --> 00:46:15,867 using Zimbabwe as an example, but I’m asking you to speak 745 00:46:15,867 --> 00:46:16,666 but I’m asking you to speak more specifically for mezzo, 746 00:46:16,666 --> 00:46:19,267 more specifically for mezzo, Deepak, Tanzania and Zambia and 747 00:46:19,267 --> 00:46:20,399 Deepak, Tanzania and Zambia and to speak a little bit about the 748 00:46:20,399 --> 00:46:22,299 to speak a little bit about the rapid diagnostic test kits in 749 00:46:22,299 --> 00:46:23,400 rapid diagnostic test kits in particular, one for which has 750 00:46:23,400 --> 00:46:25,466 particular, one for which has been used in Zimbabwe. These 751 00:46:25,466 --> 00:46:26,000 been used in Zimbabwe. These are many questions, so I don’t 752 00:46:26,000 --> 00:46:26,767 are many questions, so I don’t know if any of our workforce 753 00:46:26,767 --> 00:46:29,767 know if any of our workforce can. 754 00:46:31,200 --> 00:46:31,900 That what I would suggest your 755 00:46:31,900 --> 00:46:33,167 That what I would suggest your questions are important, but 756 00:46:33,167 --> 00:46:37,000 questions are important, but they’re very specific to to 757 00:46:37,000 --> 00:46:38,400 they’re very specific to to individual countries in South 758 00:46:38,400 --> 00:46:39,766 individual countries in South Africa. I do know that for the 759 00:46:39,766 --> 00:46:41,967 Africa. I do know that for the case of Zambia, Was’ beacons 760 00:46:41,967 --> 00:46:43,467 case of Zambia, Was’ beacons Zimbabwe that the reported 761 00:46:43,467 --> 00:46:45,200 Zimbabwe that the reported numbers from those countries 762 00:46:45,200 --> 00:46:48,934 numbers from those countries are low, but I’s in Zambia. 763 00:46:48,934 --> 00:46:50,966 are low, but I’s in Zambia. there’s been a 50 percent 764 00:46:50,966 --> 00:46:51,666 there’s been a 50 percent increase in the last week of 765 00:46:51,666 --> 00:46:52,933 increase in the last week of the numbers are low. The number 766 00:46:52,933 --> 00:46:55,034 the numbers are low. The number of deaths remain low and and 767 00:46:55,034 --> 00:46:57,800 of deaths remain low and and obviously in in that, 768 00:46:57,800 --> 00:46:59,100 obviously in in that, reflecting a reality that’s 769 00:46:59,100 --> 00:46:59,799 reflecting a reality that’s positive, but it can also 770 00:46:59,799 --> 00:47:01,166 positive, but it can also reflect on diagnosis of cases 771 00:47:01,166 --> 00:47:06,533 reflect on diagnosis of cases so I would suggest is given the 772 00:47:06,533 --> 00:47:10,000 so I would suggest is given the detail of your questions that 773 00:47:10,000 --> 00:47:11,600 detail of your questions that we can try to answer them in 774 00:47:11,600 --> 00:47:12,999 we can try to answer them in writing to you and give you the 775 00:47:12,999 --> 00:47:14,867 writing to you and give you the the level of detail that you 776 00:47:14,867 --> 00:47:16,200 the level of detail that you actually need because to 777 00:47:16,200 --> 00:47:18,533 actually need because to compare. I don’t frankly know 778 00:47:18,533 --> 00:47:21,366 compare. I don’t frankly know the background TV rates in 779 00:47:21,366 --> 00:47:22,733 the background TV rates in those four countries of the top 780 00:47:22,733 --> 00:47:25,800 those four countries of the top of my head and certainly for 781 00:47:25,800 --> 00:47:26,666 of my head and certainly for HIV and other things, but we 782 00:47:26,666 --> 00:47:29,267 HIV and other things, but we would be delighted to to answer 783 00:47:29,267 --> 00:47:30,600 would be delighted to to answer your question directly and if 784 00:47:30,600 --> 00:47:31,367 your question directly and if you can send an email to Tari 785 00:47:31,367 --> 00:47:34,333 you can send an email to Tari and the media. We’ll be very 786 00:47:34,333 --> 00:47:36,233 and the media. We’ll be very happy to engage with you 787 00:47:36,233 --> 00:47:36,933 happy to engage with you directly and I’ll be happy to 788 00:47:36,933 --> 00:47:39,433 directly and I’ll be happy to do that. personally. Thank you 789 00:47:39,433 --> 00:47:44,167 do that. personally. Thank you very much next question from 790 00:47:44,167 --> 00:47:46,834 very much next question from you. Please very good. Thanks a 791 00:47:46,834 --> 00:47:48,033 you. Please very good. Thanks a lot. Thanks for taking my 792 00:47:48,033 --> 00:47:50,767 lot. Thanks for taking my question and I’m just wondering 793 00:47:50,767 --> 00:47:51,966 question and I’m just wondering I mean given that you’re the 794 00:47:51,966 --> 00:47:53,067 I mean given that you’re the World Health Organization if 795 00:47:53,067 --> 00:47:54,467 World Health Organization if you look at the global 796 00:47:54,467 --> 00:47:55,899 you look at the global situation that the moment you 797 00:47:55,899 --> 00:47:57,234 situation that the moment you know, can you give us an idea 798 00:47:57,234 --> 00:47:58,767 know, can you give us an idea of of what the places are at 799 00:47:58,767 --> 00:48:00,299 of of what the places are at the moment of the populations 800 00:48:00,299 --> 00:48:01,167 the moment of the populations that you know that right now, 801 00:48:01,167 --> 00:48:05,433 that you know that right now, you know you think. Seeing you 802 00:48:05,433 --> 00:48:07,100 you know you think. Seeing you know, worrying trends and and 803 00:48:07,100 --> 00:48:09,167 know, worrying trends and and what you think you know the 804 00:48:09,167 --> 00:48:12,666 what you think you know the response needs to ramp up. 805 00:48:14,401 --> 00:48:17,067 So that’s a that’s an important 806 00:48:17,067 --> 00:48:18,267 So that’s a that’s an important question, but that question 807 00:48:18,267 --> 00:48:19,734 question, but that question needs to be dissected because 808 00:48:19,734 --> 00:48:21,866 needs to be dissected because there are countries I’m looking 809 00:48:21,866 --> 00:48:22,600 there are countries I’m looking staring at a map. as I talk to 810 00:48:22,600 --> 00:48:24,433 staring at a map. as I talk to you, There are countries that 811 00:48:24,433 --> 00:48:26,267 you, There are countries that are seeing increasing in 812 00:48:26,267 --> 00:48:27,299 are seeing increasing in reported numbers of cases over 813 00:48:27,299 --> 00:48:29,367 reported numbers of cases over time and when we see that 814 00:48:29,367 --> 00:48:30,600 time and when we see that that’s a worrying trend, but on 815 00:48:30,600 --> 00:48:32,667 that’s a worrying trend, but on the other hand, many countries 816 00:48:32,667 --> 00:48:34,266 the other hand, many countries that are seeing increases in 817 00:48:34,266 --> 00:48:35,399 that are seeing increases in cases have ramped up their 818 00:48:35,399 --> 00:48:38,166 cases have ramped up their testing and so I don’t want to 819 00:48:38,166 --> 00:48:39,633 testing and so I don’t want to equate countries that are 820 00:48:39,633 --> 00:48:40,833 equate countries that are seeing an increase in testing 821 00:48:40,833 --> 00:48:42,466 seeing an increase in testing or an exponential growth or a 822 00:48:42,466 --> 00:48:43,700 or an exponential growth or a rapid increase as a negative 823 00:48:43,700 --> 00:48:47,066 rapid increase as a negative thing. it’s not good in terms 824 00:48:47,066 --> 00:48:49,433 thing. it’s not good in terms of seeing cases in terms of 825 00:48:49,433 --> 00:48:50,300 of seeing cases in terms of transmission, but I think I 826 00:48:50,300 --> 00:48:53,401 transmission, but I think I don’t want to equate that with 827 00:48:53,401 --> 00:48:54,899 don’t want to equate that with something is wrong. I want to 828 00:48:54,899 --> 00:48:57,499 something is wrong. I want to equate that with countries are 829 00:48:57,499 --> 00:48:59,933 equate that with countries are working very hard to increase 830 00:48:59,933 --> 00:49:01,600 working very hard to increase their ability to find the virus 831 00:49:01,600 --> 00:49:03,033 their ability to find the virus to find people with the virus 832 00:49:03,033 --> 00:49:04,833 to find people with the virus to have testing in place to 833 00:49:04,833 --> 00:49:08,000 to have testing in place to identify who has covid- 19 and 834 00:49:08,000 --> 00:49:09,899 identify who has covid- 19 and who are putting in into place 835 00:49:09,899 --> 00:49:11,967 who are putting in into place what they need to do to care 836 00:49:11,967 --> 00:49:12,933 what they need to do to care for those patients. the 837 00:49:12,933 --> 00:49:13,500 for those patients. the recommendations that we have 838 00:49:13,500 --> 00:49:17,467 recommendations that we have for all countries remains. 839 00:49:17,666 --> 00:49:19,800 Our recommendations include 840 00:49:19,800 --> 00:49:21,399 Our recommendations include finding all cases testing cases 841 00:49:21,399 --> 00:49:24,000 finding all cases testing cases caring for cases in the 842 00:49:24,000 --> 00:49:25,433 caring for cases in the appropriate settings, depending 843 00:49:25,433 --> 00:49:26,800 appropriate settings, depending on the severity of their 844 00:49:26,800 --> 00:49:29,233 on the severity of their symptoms, finding all context 845 00:49:29,233 --> 00:49:31,001 symptoms, finding all context quarantining those contacts for 846 00:49:31,001 --> 00:49:33,500 quarantining those contacts for the full 14 days, making sure 847 00:49:33,500 --> 00:49:34,799 the full 14 days, making sure that public is fully engaged so 848 00:49:34,799 --> 00:49:36,467 that public is fully engaged so that they know what they can 849 00:49:36,467 --> 00:49:40,066 that they know what they can do. there is some question 850 00:49:40,066 --> 00:49:41,967 do. there is some question about the use of lockdowns or 851 00:49:41,967 --> 00:49:43,167 about the use of lockdowns or these public health measures 852 00:49:43,167 --> 00:49:44,766 these public health measures many countries have had to put 853 00:49:44,766 --> 00:49:47,167 many countries have had to put those in place because the the 854 00:49:47,167 --> 00:49:48,800 those in place because the the transmission has increased so 855 00:49:48,800 --> 00:49:49,400 transmission has increased so rapidly that they were forced 856 00:49:49,400 --> 00:49:50,167 rapidly that they were forced to do that what we have had to 857 00:49:50,167 --> 00:49:54,566 to do that what we have had to do. Is put guidance out to 858 00:49:54,566 --> 00:49:55,433 do. Is put guidance out to support countries and lifting 859 00:49:55,433 --> 00:49:56,967 support countries and lifting those measures which needs to 860 00:49:56,967 --> 00:49:59,000 those measures which needs to be done in a controlled way 861 00:49:59,000 --> 00:50:00,466 be done in a controlled way because this virus likes to 862 00:50:00,466 --> 00:50:02,833 because this virus likes to find opportunities to spread 863 00:50:02,833 --> 00:50:04,433 find opportunities to spread and if this lockdown measures 864 00:50:04,433 --> 00:50:06,800 and if this lockdown measures are lifted too quickly, the 865 00:50:06,800 --> 00:50:08,567 are lifted too quickly, the virus can take off and that’s a 866 00:50:08,567 --> 00:50:11,067 virus can take off and that’s a worry that we have but I I the 867 00:50:11,067 --> 00:50:13,399 worry that we have but I I the the question about countries 868 00:50:13,399 --> 00:50:16,066 the question about countries finding cases should not be 869 00:50:16,066 --> 00:50:17,067 finding cases should not be seen as a negative thing. It 870 00:50:17,067 --> 00:50:18,000 seen as a negative thing. It should be seen as a positive 871 00:50:18,000 --> 00:50:18,666 should be seen as a positive thing and we need to support 872 00:50:18,666 --> 00:50:19,367 thing and we need to support countries through these 873 00:50:19,367 --> 00:50:22,767 countries through these incredibly difficult. 874 00:50:22,767 --> 00:50:22,800 incredibly difficult. and 875 00:50:22,800 --> 00:50:25,367 and as you find the only way to 876 00:50:25,367 --> 00:50:26,933 and as you find the only way to control and suppress this 877 00:50:26,933 --> 00:50:29,399 control and suppress this virus, this covid- 19 is to 878 00:50:29,399 --> 00:50:31,000 virus, this covid- 19 is to actually find them quarantine. 879 00:50:31,000 --> 00:50:32,367 actually find them quarantine. Those context isolate the cases 880 00:50:32,367 --> 00:50:33,000 Those context isolate the cases and it will be brought 881 00:50:33,000 --> 00:50:37,000 and it will be brought under control. And if I could 882 00:50:37,000 --> 00:50:39,967 under control. And if I could just supplement certain areas 883 00:50:39,967 --> 00:50:42,166 just supplement certain areas that I would be particularly 884 00:50:42,166 --> 00:50:43,367 that I would be particularly concerned about and it’s not 885 00:50:43,367 --> 00:50:44,166 concerned about and it’s not based on the absolute numbers, 886 00:50:44,166 --> 00:50:46,000 based on the absolute numbers, but it’s based on the 887 00:50:46,000 --> 00:50:47,367 but it’s based on the underlying vulnerabilities of 888 00:50:47,367 --> 00:50:48,801 underlying vulnerabilities of populations and also the 889 00:50:48,801 --> 00:50:50,401 populations and also the underlying weaknesses of the 890 00:50:50,401 --> 00:50:51,399 underlying weaknesses of the health system and this is 891 00:50:51,399 --> 00:50:53,967 health system and this is particularly acute in areas 892 00:50:53,967 --> 00:50:55,533 particularly acute in areas where there’s existing 893 00:50:55,533 --> 00:50:57,467 where there’s existing humanitarian crisis and remind 894 00:50:57,467 --> 00:50:58,900 humanitarian crisis and remind you that there’ll be an update 895 00:50:58,900 --> 00:51:01,000 you that there’ll be an update to the global humanitarian 896 00:51:01,000 --> 00:51:01,699 to the global humanitarian response Plan for Covid- 19 897 00:51:01,699 --> 00:51:02,867 response Plan for Covid- 19 tomorrow, which we greatly 898 00:51:02,867 --> 00:51:05,534 tomorrow, which we greatly welcome and when we look. That 899 00:51:05,534 --> 00:51:07,933 welcome and when we look. That those numbers and again they 900 00:51:07,933 --> 00:51:09,567 those numbers and again they may be small numbers, but again 901 00:51:09,567 --> 00:51:11,400 may be small numbers, but again we’ve seen in Afghanistan and 902 00:51:11,400 --> 00:51:14,533 we’ve seen in Afghanistan and you know 76 percent increase in 903 00:51:14,533 --> 00:51:15,800 you know 76 percent increase in cases, but also what we’re 904 00:51:15,800 --> 00:51:17,000 cases, but also what we’re seeing is that’s beginning to 905 00:51:17,000 --> 00:51:19,600 seeing is that’s beginning to increase there right over 60 906 00:51:19,600 --> 00:51:21,466 increase there right over 60 percent. Sudan has 907 00:51:21,466 --> 00:51:21,967 percent. Sudan has a hundred and 45 percent 908 00:51:21,967 --> 00:51:23,799 a hundred and 45 percent increase in the last week, but 909 00:51:23,799 --> 00:51:25,500 increase in the last week, but also tracking increase in 910 00:51:25,500 --> 00:51:28,899 also tracking increase in deaths of 80 percent Palestine 911 00:51:28,899 --> 00:51:29,333 deaths of 80 percent Palestine similarly, with a hundred 912 00:51:29,333 --> 00:51:30,600 similarly, with a hundred percent increase in deaths in 913 00:51:30,600 --> 00:51:31,433 percent increase in deaths in the last week, Yemen has a very 914 00:51:31,433 --> 00:51:32,600 the last week, Yemen has a very small problem in the sense of 915 00:51:32,600 --> 00:51:35,167 small problem in the sense of the number. Cases that have 916 00:51:35,167 --> 00:51:38,533 the number. Cases that have been reported, but we we 917 00:51:38,533 --> 00:51:40,966 been reported, but we we believe that the virus is is is 918 00:51:40,966 --> 00:51:42,433 believe that the virus is is is is is spreading a community 919 00:51:42,433 --> 00:51:45,199 is is spreading a community level and we need to focus on 920 00:51:45,199 --> 00:51:46,434 level and we need to focus on providing essential health 921 00:51:46,434 --> 00:51:47,799 providing essential health services and services to all 922 00:51:47,799 --> 00:51:50,399 services and services to all people in Yemen as we do to all 923 00:51:50,399 --> 00:51:52,833 people in Yemen as we do to all people in Syria and working in 924 00:51:52,833 --> 00:51:54,933 people in Syria and working in across lines and ensuring that 925 00:51:54,933 --> 00:51:58,667 across lines and ensuring that we’re getting and reaching all 926 00:51:58,667 --> 00:52:00,066 we’re getting and reaching all people within borders 927 00:52:00,066 --> 00:52:02,833 people within borders regardless of the the the The 928 00:52:02,833 --> 00:52:03,967 regardless of the the the The different conflicts that are 929 00:52:03,967 --> 00:52:05,367 different conflicts that are ongoing is becoming an 930 00:52:05,367 --> 00:52:05,967 ongoing is becoming an increasing challenge for the 931 00:52:05,967 --> 00:52:06,966 increasing challenge for the humanitarian organizations. 932 00:52:06,966 --> 00:52:11,399 humanitarian organizations. there are. Other concerns in 933 00:52:11,399 --> 00:52:12,933 there are. Other concerns in South America Central America 934 00:52:12,933 --> 00:52:13,467 South America Central America there are there are countries 935 00:52:13,467 --> 00:52:15,399 there are there are countries still like Peru and Ecuador 936 00:52:15,399 --> 00:52:16,200 still like Peru and Ecuador that have experienced increase 937 00:52:16,200 --> 00:52:19,533 that have experienced increase in cases but again, as Maria 938 00:52:19,533 --> 00:52:20,899 in cases but again, as Maria said, some of this is down to a 939 00:52:20,899 --> 00:52:21,700 said, some of this is down to a better testing and we’re seeing 940 00:52:21,700 --> 00:52:23,433 better testing and we’re seeing more cases we need to be 941 00:52:23,433 --> 00:52:25,533 more cases we need to be tracking the proportion of 942 00:52:25,533 --> 00:52:26,800 tracking the proportion of tests that are positive as a 943 00:52:26,800 --> 00:52:28,899 tests that are positive as a way of better tracking that but 944 00:52:28,899 --> 00:52:30,400 way of better tracking that but also tracking the number of 945 00:52:30,400 --> 00:52:32,066 also tracking the number of deaths is a good way to really 946 00:52:32,066 --> 00:52:35,399 deaths is a good way to really look at that at that impact. 947 00:52:35,399 --> 00:52:36,000 look at that at that impact. we’ve also seen in Europe and 948 00:52:36,000 --> 00:52:39,467 we’ve also seen in Europe and Western Europe a fundamental. 949 00:52:39,467 --> 00:52:40,867 Western Europe a fundamental. Decrease the number of cases, 950 00:52:40,867 --> 00:52:43,100 Decrease the number of cases, but we have seen a consequence 951 00:52:43,100 --> 00:52:45,599 but we have seen a consequence or not a consequence, but an 952 00:52:45,599 --> 00:52:46,166 or not a consequence, but an Associated increase in the 953 00:52:46,166 --> 00:52:47,399 Associated increase in the number of cases reported in 954 00:52:47,399 --> 00:52:49,566 number of cases reported in places like the Russian 955 00:52:49,566 --> 00:52:51,533 places like the Russian Federation So each region 956 00:52:51,533 --> 00:52:53,967 Federation So each region Southeast is the Western 957 00:52:53,967 --> 00:52:57,967 Southeast is the Western Pacific areas have a relatively 958 00:52:57,967 --> 00:52:59,500 Pacific areas have a relatively are on the downward trend like 959 00:52:59,500 --> 00:53:01,600 are on the downward trend like the Korea and others, But then 960 00:53:01,600 --> 00:53:03,533 the Korea and others, But then we do see in South Asian places 961 00:53:03,533 --> 00:53:05,933 we do see in South Asian places like India some trends to 962 00:53:05,933 --> 00:53:07,400 like India some trends to increase so it’s very difficult 963 00:53:07,400 --> 00:53:08,966 increase so it’s very difficult to say that any particular 964 00:53:08,966 --> 00:53:13,367 to say that any particular region is. Or disapproving the 965 00:53:13,367 --> 00:53:14,000 region is. Or disapproving the individual countries within 966 00:53:14,000 --> 00:53:17,533 individual countries within each region that are having 967 00:53:17,533 --> 00:53:18,267 each region that are having difficulties getting on top of 968 00:53:18,267 --> 00:53:19,367 difficulties getting on top of this disease and I am 969 00:53:19,367 --> 00:53:21,433 this disease and I am particularly concerned about 970 00:53:21,433 --> 00:53:22,133 particularly concerned about those countries that have 971 00:53:22,133 --> 00:53:24,499 those countries that have existing ongoing humanitarian 972 00:53:24,499 --> 00:53:25,934 existing ongoing humanitarian crisis. Haiti is another one 973 00:53:25,934 --> 00:53:27,267 crisis. Haiti is another one that comes to mind that I would 974 00:53:27,267 --> 00:53:29,866 that comes to mind that I would be very concerned about we need 975 00:53:29,866 --> 00:53:31,267 be very concerned about we need to focus on ensuring that the 976 00:53:31,267 --> 00:53:33,367 to focus on ensuring that the most vulnerable people in the 977 00:53:33,367 --> 00:53:35,833 most vulnerable people in the world get prioritize assistance 978 00:53:35,833 --> 00:53:39,500 world get prioritize assistance in this response. Thank you 979 00:53:39,500 --> 00:53:41,734 in this response. Thank you very much we have time for one 980 00:53:41,734 --> 00:53:44,567 very much we have time for one or two more questions. now I’m 981 00:53:44,567 --> 00:53:46,200 or two more questions. now I’m calling on Hillary from 982 00:53:46,200 --> 00:53:49,499 calling on Hillary from Business Insider Hillary If you 983 00:53:49,499 --> 00:53:52,333 Business Insider Hillary If you can hear us and unmute 984 00:53:52,333 --> 00:53:53,633 can hear us and unmute yourself, alright, can you hear 985 00:53:53,633 --> 00:53:56,467 yourself, alright, can you hear me? Yes, please go ahead. yeah. 986 00:53:56,467 --> 00:53:57,700 me? Yes, please go ahead. yeah. Thanks for taking my question. 987 00:53:57,700 --> 00:53:59,034 Thanks for taking my question. I just wanted to talk about a 988 00:53:59,034 --> 00:54:00,433 I just wanted to talk about a couple of new reports coming 989 00:54:00,433 --> 00:54:03,334 couple of new reports coming out of France and Florida some 990 00:54:03,334 --> 00:54:06,000 out of France and Florida some new evidence in scientific 991 00:54:06,000 --> 00:54:07,334 new evidence in scientific journals and be a public health 992 00:54:07,334 --> 00:54:07,800 journals and be a public health departments that there might 993 00:54:07,800 --> 00:54:11,633 departments that there might have been. The first cases in 994 00:54:11,633 --> 00:54:14,167 have been. The first cases in those places as early as late 995 00:54:14,167 --> 00:54:15,499 those places as early as late December, and I’m wondering if 996 00:54:15,499 --> 00:54:17,966 December, and I’m wondering if kind of given the speed of 997 00:54:17,966 --> 00:54:18,600 kind of given the speed of global travel these days if you 998 00:54:18,600 --> 00:54:20,500 global travel these days if you think countries around the 999 00:54:20,500 --> 00:54:22,167 think countries around the world might have taken a more 1000 00:54:22,167 --> 00:54:22,767 world might have taken a more aggressive approach to some 1001 00:54:22,767 --> 00:54:25,167 aggressive approach to some early testing and assume the 1002 00:54:25,167 --> 00:54:26,600 early testing and assume the virus might have been spreading 1003 00:54:26,600 --> 00:54:31,933 virus might have been spreading in their countries earlier. 1004 00:54:32,967 --> 00:54:34,266 Thanks for this question, I’m 1005 00:54:34,266 --> 00:54:36,700 Thanks for this question, I’m not aware of the report from 1006 00:54:36,700 --> 00:54:37,666 not aware of the report from Florida that you mentioned, but 1007 00:54:37,666 --> 00:54:39,600 Florida that you mentioned, but I am aware of the a recent 1008 00:54:39,600 --> 00:54:40,600 I am aware of the a recent paper that came out it was 1009 00:54:40,600 --> 00:54:42,100 paper that came out it was published yesterday or 1010 00:54:42,100 --> 00:54:44,933 published yesterday or overnight on a sample from an 1011 00:54:44,933 --> 00:54:47,066 overnight on a sample from an individual that tested 1012 00:54:47,066 --> 00:54:49,834 individual that tested positive. by PCR for for now 1013 00:54:49,834 --> 00:54:52,667 positive. by PCR for for now known as Covid- 19 on December 1014 00:54:52,667 --> 00:54:55,399 known as Covid- 19 on December 20, -seventh in this paper the 1015 00:54:55,399 --> 00:54:56,900 20, -seventh in this paper the authors themselves say that it 1016 00:54:56,900 --> 00:54:59,233 authors themselves say that it could be a false positive but 1017 00:54:59,233 --> 00:54:59,933 could be a false positive but assuming it’s not it is 1018 00:54:59,933 --> 00:55:00,267 assuming it’s not it is possible that this 1019 00:55:00,267 --> 00:55:02,534 possible that this individual may have. Cove in 19 1020 00:55:02,534 --> 00:55:04,867 individual may have. Cove in 19 in in December this was about a 1021 00:55:04,867 --> 00:55:06,333 in in December this was about a month before the first cases 1022 00:55:06,333 --> 00:55:08,999 month before the first cases were reported in France. we 1023 00:55:08,999 --> 00:55:10,633 were reported in France. we need more information about 1024 00:55:10,633 --> 00:55:12,534 need more information about this particular case. if this 1025 00:55:12,534 --> 00:55:15,466 this particular case. if this is the case to find out the the 1026 00:55:15,466 --> 00:55:16,600 is the case to find out the the different types of history that 1027 00:55:16,600 --> 00:55:18,000 different types of history that this this individual may have 1028 00:55:18,000 --> 00:55:20,666 this this individual may have had it is possible that there 1029 00:55:20,666 --> 00:55:21,899 had it is possible that there could have been a case in 1030 00:55:21,899 --> 00:55:24,366 could have been a case in France as early as December, 1031 00:55:24,366 --> 00:55:27,967 France as early as December, the first symptom onset of the 1032 00:55:27,967 --> 00:55:29,100 the first symptom onset of the cluster in Wuhan was on the 1033 00:55:29,100 --> 00:55:32,967 cluster in Wuhan was on the first of December. So it is 1034 00:55:32,967 --> 00:55:33,967 first of December. So it is possible that someone may have 1035 00:55:33,967 --> 00:55:35,666 possible that someone may have traveled from Muon in the month 1036 00:55:35,666 --> 00:55:37,067 traveled from Muon in the month of December and travel to other 1037 00:55:37,067 --> 00:55:38,433 of December and travel to other locations, but I don’t want to 1038 00:55:38,433 --> 00:55:40,167 locations, but I don’t want to speculate. It’s really 1039 00:55:40,167 --> 00:55:42,000 speculate. It’s really important that we look further 1040 00:55:42,000 --> 00:55:43,533 important that we look further into this. the second thing to 1041 00:55:43,533 --> 00:55:45,033 into this. the second thing to mention is that some countries 1042 00:55:45,033 --> 00:55:47,401 mention is that some countries are now utilizing their 1043 00:55:47,401 --> 00:55:49,267 are now utilizing their influenza like illness in their 1044 00:55:49,267 --> 00:55:50,434 influenza like illness in their stories, Severe acute 1045 00:55:50,434 --> 00:55:53,034 stories, Severe acute respiratory illness 1046 00:55:53,034 --> 00:55:54,066 respiratory illness surveillance system, which has 1047 00:55:54,066 --> 00:55:55,700 surveillance system, which has been established across more 1048 00:55:55,700 --> 00:55:56,934 been established across more than a hundred countries for 1049 00:55:56,934 --> 00:55:58,600 than a hundred countries for influenza and they’re using 1050 00:55:58,600 --> 00:56:00,166 influenza and they’re using those samples prospectively. It 1051 00:56:00,166 --> 00:56:02,100 those samples prospectively. It started in week nine of this 1052 00:56:02,100 --> 00:56:02,799 started in week nine of this year, and it’s happening now 1053 00:56:02,799 --> 00:56:06,000 year, and it’s happening now and they’re testing a sub. Of 1054 00:56:06,000 --> 00:56:08,199 and they’re testing a sub. Of those for Covid- 19, and that’s 1055 00:56:08,199 --> 00:56:08,833 those for Covid- 19, and that’s that’s important because you 1056 00:56:08,833 --> 00:56:11,833 that’s important because you look for additional cases some 1057 00:56:11,833 --> 00:56:13,434 look for additional cases some countries may look backwards 1058 00:56:13,434 --> 00:56:14,000 countries may look backwards and may look at some of those 1059 00:56:14,000 --> 00:56:16,633 and may look at some of those samples that were stored in 1060 00:56:16,633 --> 00:56:18,800 samples that were stored in January or in December and may 1061 00:56:18,800 --> 00:56:20,000 January or in December and may retest those so it’s possible 1062 00:56:20,000 --> 00:56:21,867 retest those so it’s possible that we may see some of those 1063 00:56:21,867 --> 00:56:24,000 that we may see some of those samples testing positive for 1064 00:56:24,000 --> 00:56:25,467 samples testing positive for Cove 19, but we need more 1065 00:56:25,467 --> 00:56:26,133 Cove 19, but we need more information from the countries 1066 00:56:26,133 --> 00:56:28,800 information from the countries we need to understand why this 1067 00:56:28,800 --> 00:56:30,200 we need to understand why this individual was tested and how 1068 00:56:30,200 --> 00:56:31,800 individual was tested and how this individual was tested 1069 00:56:31,800 --> 00:56:33,167 this individual was tested before you can really put this 1070 00:56:33,167 --> 00:56:36,600 before you can really put this into context. And And if I 1071 00:56:36,600 --> 00:56:40,200 into context. And And if I could supplements in terms of 1072 00:56:40,200 --> 00:56:41,599 could supplements in terms of understanding, emerging 1073 00:56:41,599 --> 00:56:43,833 understanding, emerging diseases and the new pathogens 1074 00:56:43,833 --> 00:56:47,867 diseases and the new pathogens but very often happens is that 1075 00:56:47,867 --> 00:56:51,166 but very often happens is that usually a conditions or others 1076 00:56:51,166 --> 00:56:52,533 usually a conditions or others notice something unusual either 1077 00:56:52,533 --> 00:56:55,134 notice something unusual either or not unusual syndrome. it 1078 00:56:55,134 --> 00:56:56,066 or not unusual syndrome. it typically no money. for 1079 00:56:56,066 --> 00:56:57,333 typically no money. for example, it’s not unusual 1080 00:56:57,333 --> 00:57:00,000 example, it’s not unusual syndrome it wouldn’t trigger 1081 00:57:00,000 --> 00:57:01,733 syndrome it wouldn’t trigger necessarily the system to think 1082 00:57:01,733 --> 00:57:03,166 necessarily the system to think there was something wrong, but 1083 00:57:03,166 --> 00:57:05,199 there was something wrong, but as happened in in in in Wuhan, 1084 00:57:05,199 --> 00:57:09,034 as happened in in in in Wuhan, the clustering of. Of a 1085 00:57:09,034 --> 00:57:11,766 the clustering of. Of a pneumonia where the testing 1086 00:57:11,766 --> 00:57:14,267 pneumonia where the testing that was done was negative for 1087 00:57:14,267 --> 00:57:15,700 that was done was negative for the normal paths that you would 1088 00:57:15,700 --> 00:57:18,033 the normal paths that you would test for so you end up in this 1089 00:57:18,033 --> 00:57:18,567 test for so you end up in this situation where a group of 1090 00:57:18,567 --> 00:57:20,000 situation where a group of clinicians looking at a case 1091 00:57:20,000 --> 00:57:21,800 clinicians looking at a case and say well, we know what this 1092 00:57:21,800 --> 00:57:23,400 and say well, we know what this is not, but we don’t know what 1093 00:57:23,400 --> 00:57:25,933 is not, but we don’t know what this is, but we still have this 1094 00:57:25,933 --> 00:57:27,800 this is, but we still have this cluster of disease that look 1095 00:57:27,800 --> 00:57:30,000 cluster of disease that look very similar and that’s what 1096 00:57:30,000 --> 00:57:31,066 very similar and that’s what triggers the reaction to say is 1097 00:57:31,066 --> 00:57:31,866 triggers the reaction to say is there’s something new. Is there 1098 00:57:31,866 --> 00:57:33,767 there’s something new. Is there something wrong and that’s 1099 00:57:33,767 --> 00:57:34,834 something wrong and that’s usually a cluster of disease 1100 00:57:34,834 --> 00:57:37,733 usually a cluster of disease that looks alike. I’m very 1101 00:57:37,733 --> 00:57:39,467 that looks alike. I’m very often when you then find the 1102 00:57:39,467 --> 00:57:41,267 often when you then find the test and you go back, you find 1103 00:57:41,267 --> 00:57:42,567 test and you go back, you find that not all of the people had 1104 00:57:42,567 --> 00:57:44,000 that not all of the people had that disease the testing and 1105 00:57:44,000 --> 00:57:45,533 that disease the testing and subsequently confirms only a 1106 00:57:45,533 --> 00:57:47,399 subsequently confirms only a proportion of them so when you 1107 00:57:47,399 --> 00:57:49,367 proportion of them so when you detected unusual cluster, what 1108 00:57:49,367 --> 00:57:51,433 detected unusual cluster, what you do is try to find every 1109 00:57:51,433 --> 00:57:52,967 you do is try to find every case of disease undiagnosed 1110 00:57:52,967 --> 00:57:54,599 case of disease undiagnosed disease that looks like this 1111 00:57:54,599 --> 00:57:55,966 disease that looks like this and then you develop a test or 1112 00:57:55,966 --> 00:57:57,233 and then you develop a test or find the virus and you go back 1113 00:57:57,233 --> 00:57:58,500 find the virus and you go back and test, and that’s why some 1114 00:57:58,500 --> 00:58:01,433 and test, and that’s why some of the cases in in China have 1115 00:58:01,433 --> 00:58:03,600 of the cases in in China have dates on that go back to early 1116 00:58:03,600 --> 00:58:05,300 dates on that go back to early December because as they went 1117 00:58:05,300 --> 00:58:06,966 December because as they went and looked at this disease and 1118 00:58:06,966 --> 00:58:07,734 and looked at this disease and then they go back and test the 1119 00:58:07,734 --> 00:58:09,833 then they go back and test the say when was your eyes and. 1120 00:58:09,833 --> 00:58:11,500 say when was your eyes and. Person says I got sick in the 1121 00:58:11,500 --> 00:58:13,001 Person says I got sick in the first and second of December, 1122 00:58:13,001 --> 00:58:14,334 first and second of December, but they may have been packed 1123 00:58:14,334 --> 00:58:15,467 but they may have been packed with cluster that was detected 1124 00:58:15,467 --> 00:58:18,033 with cluster that was detected at the end of December. So it’s 1125 00:58:18,033 --> 00:58:19,499 at the end of December. So it’s not that person was detected as 1126 00:58:19,499 --> 00:58:21,067 not that person was detected as an unusual case on the first 1127 00:58:21,067 --> 00:58:23,333 an unusual case on the first day they were detected as part 1128 00:58:23,333 --> 00:58:26,333 day they were detected as part of an overall an overall 1129 00:58:26,333 --> 00:58:28,399 of an overall an overall cluster. So from that 1130 00:58:28,399 --> 00:58:30,133 cluster. So from that perspective, it’s important to 1131 00:58:30,133 --> 00:58:32,467 perspective, it’s important to recognize that in this 1132 00:58:32,467 --> 00:58:34,099 recognize that in this particular case, I think the 1133 00:58:34,099 --> 00:58:35,333 particular case, I think the clinicians in France and other 1134 00:58:35,333 --> 00:58:36,900 clinicians in France and other places very often we’ll do this 1135 00:58:36,900 --> 00:58:37,766 places very often we’ll do this and we think this is a very 1136 00:58:37,766 --> 00:58:38,567 and we think this is a very prudent approach if you have 1137 00:58:38,567 --> 00:58:40,734 prudent approach if you have someone with a serious. And you 1138 00:58:40,734 --> 00:58:43,234 someone with a serious. And you can’t make the diagnosis very 1139 00:58:43,234 --> 00:58:44,434 can’t make the diagnosis very often hospitals will free 1140 00:58:44,434 --> 00:58:48,267 often hospitals will free samples as a standard practice, 1141 00:58:48,267 --> 00:58:49,666 samples as a standard practice, which allows them to come back 1142 00:58:49,666 --> 00:58:51,167 which allows them to come back later and to further diagnostic 1143 00:58:51,167 --> 00:58:52,867 later and to further diagnostic tests should diagnose or a new 1144 00:58:52,867 --> 00:58:54,700 tests should diagnose or a new virus or anything else emerge. 1145 00:58:54,700 --> 00:58:55,434 virus or anything else emerge. So it’s a very important that 1146 00:58:55,434 --> 00:59:00,267 So it’s a very important that is done and we we look forward 1147 00:59:00,267 --> 00:59:01,700 is done and we we look forward to any further examinations 1148 00:59:01,700 --> 00:59:02,933 to any further examinations that are done by other 1149 00:59:02,933 --> 00:59:04,134 that are done by other researchers around the world 1150 00:59:04,134 --> 00:59:06,300 researchers around the world who may find us similar cases. 1151 00:59:06,300 --> 00:59:10,566 who may find us similar cases. so this is a good thing to do 1152 00:59:11,033 --> 00:59:12,000 It’s something I think we’re 1153 00:59:12,000 --> 00:59:12,667 It’s something I think we’re we’ll look forward to peer 1154 00:59:12,667 --> 00:59:14,233 we’ll look forward to peer reviewed publications where we 1155 00:59:14,233 --> 00:59:16,099 reviewed publications where we can see that this test of 1156 00:59:16,099 --> 00:59:17,833 can see that this test of validates and we can discuss 1157 00:59:17,833 --> 00:59:19,200 validates and we can discuss the implications of of those 1158 00:59:19,200 --> 00:59:22,400 the implications of of those results. 1159 00:59:24,099 --> 00:59:25,134 Thank you very much so we will 1160 00:59:25,134 --> 00:59:28,099 Thank you very much so we will go to the last question for 1161 00:59:28,099 --> 00:59:31,100 go to the last question for today 1162 00:59:39,733 --> 00:59:41,666 and that’s Gabriela to from 1163 00:59:41,666 --> 00:59:42,633 and that’s Gabriela to from Mexican news agency Gabriela. 1164 00:59:42,633 --> 00:59:44,867 Mexican news agency Gabriela. If you can hear us, please go 1165 00:59:44,867 --> 00:59:47,967 If you can hear us, please go ahead. 1166 00:59:48,133 --> 00:59:50,866 Yes. Thank you very much for 1167 00:59:50,866 --> 00:59:51,467 Yes. Thank you very much for taking my question. I’m going 1168 00:59:51,467 --> 00:59:54,967 taking my question. I’m going to ask in Spanish. It’s 1169 01:00:01,634 --> 01:00:06,233 for the processor Processor 1170 01:00:21,134 --> 01:00:24,400 magazine. 1171 01:00:43,533 --> 01:00:46,633 It’s 1172 01:00:49,966 --> 01:00:53,200 a it’s a 1173 01:01:00,900 --> 01:01:01,500 great deal of contrast between 1174 01:01:01,500 --> 01:01:02,000 great deal of contrast between the figures that are being 1175 01:01:02,000 --> 01:01:02,833 the figures that are being presented by the United States, 1176 01:01:02,833 --> 01:01:03,500 presented by the United States, with more than a million cases 1177 01:01:03,500 --> 01:01:04,000 with more than a million cases in the figures that we’re 1178 01:01:04,000 --> 01:01:04,833 in the figures that we’re seeing in almost all Latin 1179 01:01:04,833 --> 01:01:05,267 seeing in almost all Latin America, for example. In 1180 01:01:05,267 --> 01:01:05,967 America, for example. In Mexico, where up until now 1181 01:01:05,967 --> 01:01:06,433 Mexico, where up until now we’ve had some 26000 cases. 1182 01:01:06,433 --> 01:01:07,067 we’ve had some 26000 cases. What is this difference due to 1183 01:01:07,067 --> 01:01:07,899 What is this difference due to it’s a major contrast? we know 1184 01:01:07,899 --> 01:01:08,467 it’s a major contrast? we know the doesn’t respect borders. 1185 01:01:08,467 --> 01:01:09,267 the doesn’t respect borders. Thank you. So thank you for the 1186 01:01:09,267 --> 01:01:09,866 Thank you. So thank you for the question. yes there there is 1187 01:01:09,866 --> 01:01:10,367 question. yes there there is there, you know as the 1188 01:01:10,367 --> 01:01:11,200 there, you know as the director, general said in his 1189 01:01:11,200 --> 01:01:12,099 director, general said in his speech today, If you look at a 1190 01:01:12,099 --> 01:01:12,867 speech today, If you look at a region or you look at the 1191 01:01:12,867 --> 01:01:13,700 region or you look at the overall numbers it doesn’t give 1192 01:01:13,700 --> 01:01:14,467 overall numbers it doesn’t give you the the the true dynamic 1193 01:01:14,467 --> 01:01:15,300 you the the the true dynamic nature of this virus in terms 1194 01:01:15,300 --> 01:01:16,334 nature of this virus in terms of its ability to transmit part 1195 01:01:16,334 --> 01:01:17,166 of its ability to transmit part of the challenge is when you’re 1196 01:01:17,166 --> 01:01:17,967 of the challenge is when you’re looking at absolute numbers is 1197 01:01:17,967 --> 01:01:18,533 looking at absolute numbers is that indeed, there are absolute 1198 01:01:18,533 --> 01:01:19,067 that indeed, there are absolute numbers. They’re not you can 1199 01:01:19,067 --> 01:01:20,000 numbers. They’re not you can look at them as a rate as a 1200 01:01:20,000 --> 01:01:20,499 look at them as a rate as a population-based rate and then 1201 01:01:20,499 --> 01:01:21,267 population-based rate and then you won’t see such drastic 1202 01:01:21,267 --> 01:01:22,000 you won’t see such drastic differences part of it has to. 1203 01:01:22,000 --> 01:01:22,667 differences part of it has to. With the testing strategy, I’m 1204 01:01:22,667 --> 01:01:23,533 With the testing strategy, I’m not familiar with Mexico’s 1205 01:01:23,533 --> 01:01:24,433 not familiar with Mexico’s testing strategy to be able to 1206 01:01:24,433 --> 01:01:25,199 testing strategy to be able to comment on how it is the same 1207 01:01:25,199 --> 01:01:25,666 comment on how it is the same or differs from other countries 1208 01:01:25,666 --> 01:01:26,167 or differs from other countries but it the numbers of countries 1209 01:01:26,167 --> 01:01:26,566 but it the numbers of countries that come from cases have to do 1210 01:01:26,566 --> 01:01:27,134 that come from cases have to do with the epidemiology and how 1211 01:01:27,134 --> 01:01:27,633 with the epidemiology and how well it transmits. how how hard 1212 01:01:27,633 --> 01:01:28,200 well it transmits. how how hard countries are looking and are 1213 01:01:28,200 --> 01:01:28,834 countries are looking and are able to test but we really 1214 01:01:28,834 --> 01:01:29,400 able to test but we really should be comparing rates as 1215 01:01:29,400 --> 01:01:30,000 should be comparing rates as opposed to absolute numbers and 1216 01:01:30,000 --> 01:01:30,734 opposed to absolute numbers and if we look at the rates and 1217 01:01:30,734 --> 01:01:31,600 if we look at the rates and again, I’m looking at a map, I 1218 01:01:31,600 --> 01:01:32,066 again, I’m looking at a map, I don’t have the rates calculated 1219 01:01:32,066 --> 01:01:32,667 don’t have the rates calculated in front of me. It doesn’t look 1220 01:01:32,667 --> 01:01:33,367 in front of me. It doesn’t look as different as these absolute 1221 01:01:33,367 --> 01:01:33,767 as different as these absolute numbers with more than 1222 01:01:33,767 --> 01:01:34,433 numbers with more than a million cases in one country 1223 01:01:34,433 --> 01:01:35,000 a million cases in one country and 20 - 6000. In another, 1224 01:01:35,000 --> 01:01:35,667 and 20 - 6000. In another, Thank you very much to we will 1225 01:01:35,667 --> 01:01:36,100 Thank you very much to we will conclude this press conference 1226 01:01:36,100 --> 01:01:36,700 conclude this press conference and I would like to thank 1227 01:01:36,700 --> 01:01:37,599 and I would like to thank interpreters who are with us 1228 01:01:37,599 --> 01:01:39,699 interpreters who are with us today also apologize for some 1229 01:01:39,699 --> 01:01:41,800 today also apologize for some technical issues. I understand 1230 01:01:41,800 --> 01:01:45,967 technical issues. I understand we had on Stream’s the audio 1231 01:01:45,967 --> 01:01:47,534 we had on Stream’s the audio file will be sent shortly and 1232 01:01:47,534 --> 01:01:49,633 file will be sent shortly and it will be tomorrow. I wish 1233 01:01:49,633 --> 01:01:52,501 it will be tomorrow. I wish everyone a very nice evening. 1234 01:01:52,501 --> 01:01:55,034 everyone a very nice evening. Thank you. thank you and Thank 1235 01:01:55,034 --> 01:01:58,901 Thank you. thank you and Thank you all for joining us and see 1236 01:01:58,901 --> 01:02:03,700 you all for joining us and see you Friday. Thank you.