Estimating Risk for Death from 2019 Novel Coronavirus Disease, China, January-February 2020. Emerg Infect Dis. 2020 Mar 13;26(6). doi: 10.3201/eid2606.200233. https://t.co/cc5zYPxV0q
Left (C) shows the fatality rate of #COVID19 in China decreasing over time. Right (A) shows fatality rate in Wuhan over the same time: it drops initially, but then INCREASES, because of an overwhelmed healthcare system. https://t.co/0YiOkSkwV4 https://t.c
🔬 Estimating Risk for Death from 2019 Novel Coronavirus Disease, China, January-February 2020. 📝 Emerg Infect Dis. 👨🏻🔬 Mizumoto K, et al. 🌎 https://t.co/zoVpUncUL0 #science #research https://t.co/ujIUdsRppD
@peelhouse2 @NebFeminists @JeremyEdelman41 @GovRicketts I sent you the CDC article too. https://t.co/d4rCj1JPGS Here it is again.
RT @md_teheran: @GustavoBolivar https://t.co/8MXLydcP7n tenía razón, algo faltaba por mostrar... Letalidad covid-19 Wuhan 12%.
@peelhouse2 @NebFeminists @JeremyEdelman41 @GovRicketts I sent you the CDC model. Here it is again. https://t.co/d4rCj1JPGS
@GustavoBolivar https://t.co/8MXLydcP7n tenía razón, algo faltaba por mostrar... Letalidad covid-19 Wuhan 12%.
É uma notícia ruim? Sim, mas que bom que já estamos sabendo disso. Agora vamos ao segundo artigo, também super importante: https://t.co/wfmwnYKu0u Este daqui fala da tal taxa de mortalidade da doença. (8/15)
@HirokoTabuchi @JapanProf These are two scholars to watch: https://t.co/97rC3f37Gc
RT @nycbat: "Our estimates of the risk for death in Wuhan reached values as high as 12% in the epicenter of the epidemic and ≈1% in other,…
@TraeO6 @WHO @CDCgov @KYMedAssoc In reality, the number is probably in between. This article considered ascertainment rate and areas outside epicenter were at 1% https://t.co/bO4x76DFQ0
@EVR1022 It appears most people are admitted into a hospital at day 11-12. They show symptoms on day 9. Seek help by day 2 or 3 and thus are admitted. This then says an avg of 10.1 days w/ SD of 5.4 days before death. So that +10 to day 11-12 is where he
@EVR1022 Not quite the same thing but this article cites the time from hospitalization to death (based on China's data) as mean=10.1, SD=5.4 days. https://t.co/fuu5cOaUbs
@PieterseMarc @aliettejonkers CDC https://t.co/ouIrxY2bGL Het is lastig te zeggen, zo veel factoren. Zelfs met 1% doden en 70% besmetting zijn het al 120.000 mensen. https://t.co/U7wIJICKmk
@aliettejonkers @joosteto @PieterseMarc Lancet studie: rond de 5% mortaliteit https://t.co/BDFssyXM1r CDC: 5-10% mortaliteit in Wuhan https://t.co/ouIrxY2bGL
@PieterseMarc @aliettejonkers Our estimates of the risk for death in Wuhan reached values as high as 12% in the epicenter of the epidemic and ≈1% in other, more mildly affected areas. The elevated death risk estimates are probably associated with a breakdo
RT @nycbat: "Our estimates of the risk for death in Wuhan reached values as high as 12% in the epicenter of the epidemic and ≈1% in other,…
RT @nycbat: "Our estimates of the risk for death in Wuhan reached values as high as 12% in the epicenter of the epidemic and ≈1% in other,…
RT @nycbat: "Our estimates of the risk for death in Wuhan reached values as high as 12% in the epicenter of the epidemic and ≈1% in other,…
RT @nycbat: "Our estimates of the risk for death in Wuhan reached values as high as 12% in the epicenter of the epidemic and ≈1% in other,…
"Our estimates of the risk for death in Wuhan reached values as high as 12% in the epicenter of the epidemic and ≈1% in other, more mildly affected areas... prob associated with a breakdown of the healthcare system". #flattenthecurve https://t.co/CIrD9Nqo
این عدد معمولا از زیاد شروع میشود و کم میشود تا یکجایی تثبیت شود. معمولا هم بیشتر از نرخ مرگ و میر است. این شاخص در بخشهایی از چین تا ۱۲٪ هم رسیده اکه احتمالا نشان از ناتوان شدن سیستم درمان در آن نقاط است... ۵ https://t.co/10wC8l73g3
epicenter wuhan had 14% mortality rate, more prepared areas had >1% https://t.co/f2mHAbFAjc italy is averaging 7% mortality rate https://t.co/PNRXaRmQP6
This data analysis on China's coronavirus outbreak seems to suggest that in areas where healthcare breaks down the death rate is not the 1% commonly stated, nor the 3.4% the WHO reported, but a whopping 12%. Anyone care to debunk? https://t.co/y0LYz3eEEA
@profamirattaran Protip Amir: Don’t accuse others of being dangerous fools, then saying something as false as, “it’s 1000% more deadly than the flu.” https://t.co/pXJeH4ZtH1
@untilatlasfalls It’s pretty scary. The R0 isn’t confirmed, so take it with a grain of salt. But the CFR is from here https://t.co/jXwln5WNu4
Survival statistics, Bayesian methodology, etc. Real statistics used to provide early predictions of Coronavirus impacts. https://t.co/N6l1vASEXe
RT @Kaos_Vs_Control: indicating that enhanced public health interventions, including social distancing and movement restrictions, should be…
indicating that enhanced public health interventions, including social distancing and movement restrictions, should be implemented to bring the COVID-19 epidemic under control. https://t.co/pUyUim8Thc
@AnnKoontz4 @trumpwarrior45 https://t.co/XGU1OGf8NS it seems like lottery odds to die from the #coronavirus, so I could see how someone might say this. https://t.co/oRNFfkF4hB
@EpiEor @jomcinerney Thanks. This is exactly the kind of source that needs to accompany claims made via social media (another example: https://t.co/5XIO7XkWrK). However, this under-review paper does not relate to the 40% infection probability for Ireland,
@TopSportsMind @KamVTV https://t.co/wISHm39Tu1 Here it is. These are scientists, who know how to extrapolate data, and make good predictions. I'm not saying Trump could have done anything differently, but to think it is a hoax, and not do anything to prev
@jmanalich Ministro, porfavor, LEA sobre el Covid-19. De hecho le dejo el link de este paper que dice textual, que el distanciamiento y restricción de salidas reduce el colapso de centros de salud y disminuye el riesgo de muerte. https://t.co/retXlJRCc2
@lukei4655 @CarolineMoss Death rate from the CDC here: https://t.co/Ghqpy3cbio
Early Release - Estimating Risk for Death from 2019 Novel Coronavirus Disease, China, January–February 2020 - Volume 26, Number 6—June 2020 - Emerging Infectious Diseases journal - CDC https://t.co/z2JrXKR1SM via @CDCgov
Covid mortality is 1%. Become up to 12% when the health system collapses. Emerg Infect Disease 13-03-2020 https://t.co/sQ2Mas2ImB #BorisJohnson #COVID_19uk #COVIDー19
https://t.co/5HLKzaNSQm #BorisJohnson #COVID_19uk irresponsible and crazy
Early Release - Estimating Risk for Death from 2019 Novel Coronavirus Disease, China, January–February 2020 - EID https://t.co/K1EX59BWTX
New article: Estimating Risk for Death from 2019 Novel Coronavirus Disease, China, January-February 2020. https://t.co/MBa0e1Ibk0 #coronavirus #COVID19 #2019ncov
RT @AndrewALover: #FlattenTheCurve ▶️➡️as even strong #healthsystems ➡️will be overwhelmed. #Covid_19 ▶️➡️#DATA don't care about your wis…
RT @onisillos: “The elevated death risk estimates are probably associated with a breakdown of the healthcare system...”> Estimating Risk fo…
RT @AndrewALover: #FlattenTheCurve ▶️➡️as even strong #healthsystems ➡️will be overwhelmed. #Covid_19 ▶️➡️#DATA don't care about your wis…
#FlattenTheCurve ▶️➡️as even strong #healthsystems ➡️will be overwhelmed. #Covid_19 ▶️➡️#DATA don't care about your wishful thinking. https://t.co/1VyWdDff0r
"breakdown of the healthcare system" #FlattenTheCurve
@calebwatney Looking for on-the-ground reportage in Wuhan would probably give you a good idea > Our estimates of the risk for death in Wuhan reached values as high as 12% in the epicenter of the epidemic and ≈1% in other, more mildly affected areas. h
@David_P1975 @CatInTexas1 @thehill That's not true. We're 3 weeks in, and a insignificant amount of people have actually been tested. The actual numbers are probably much larger. https://t.co/mmJ4NZd1Ci https://t.co/QyTGnZj1EG