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10.2196/20914 http://scihub22266oqcxt.onion/10.2196/20914 32707538!7434417!32707538     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Med+Internet+Res 2020 ; 22 (8): e20914 Nephropedia Template TP {{tp|p=32707538|t=2020. The Infection Rate of COVID-19 in Wuhan, China: Combined Analysis of Population Samples |pdf=|usr=}}{{32707538}} gab.com Text The Infection Rate of COVID-19 in Wuhan, China: Combined Analysis of Population Samples JO: J Med Internet Res http://www.kidney.de/pget.php?&tw=1&pmid=32707538 #FOAvip BACKGROUND: The coronavirus disease (COVID-19) pandemic began in Wuhan, China, in December 2019. Wuhan had a much higher mortality rate than the rest of China. However, a large number of asymptomatic infections in Wuhan may have never been diagnosed, contributing to an overestimated mortality rate. OBJECTIVE: This study aims to obtain an accurate estimate of infections in Wuhan using internet data. METHODS: In this study, we performed a combined analysis of the infection rate among evacuated foreign citizens to estimate the infection rate in Wuhan in late January and early February. RESULTS: Based on our analysis, the combined infection rate of the foreign evacuees was 0.013 (95% CI 0.008-0.022). Therefore, we estimate the number of infected people in Wuhan to be 143,000 (range 88,000-242,000), which is significantly higher than previous estimates. Our study indicates that a large number of infections in Wuhan were not diagnosed, which has resulted in an overestimated case fatality rate. CONCLUSIONS: Increased awareness of the original infection rate of Wuhan is critical for proper public health measures at all levels, as well as to eliminate panic caused by overestimated mortality rates that may bias health policy actions by the authorities. Twit Text FOAVip The Infection Rate of COVID-19 in Wuhan, China: Combined Analysis of Population Samples ????J Med Internet Res http://www.kidney.de/pget.php?&tw=1&pmid=32707538 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32707538 #FOAvip English Wikipedia <ref>{{Cite pmid|32707538}}</ref> The Infection Rate of COVID-19 in Wuhan, China: Combined Analysis of Population Samples #MMPMID32707538 Qu HQ; Cheng ZJ; Duan Z; Tian L; Hakonarson H J Med Internet Res 2020[Aug]; 22 (8): e20914 PMID32707538show ga BACKGROUND: The coronavirus disease (COVID-19) pandemic began in Wuhan, China, in December 2019. Wuhan had a much higher mortality rate than the rest of China. However, a large number of asymptomatic infections in Wuhan may have never been diagnosed, contributing to an overestimated mortality rate. OBJECTIVE: This study aims to obtain an accurate estimate of infections in Wuhan using internet data. METHODS: In this study, we performed a combined analysis of the infection rate among evacuated foreign citizens to estimate the infection rate in Wuhan in late January and early February. RESULTS: Based on our analysis, the combined infection rate of the foreign evacuees was 0.013 (95% CI 0.008-0.022). Therefore, we estimate the number of infected people in Wuhan to be 143,000 (range 88,000-242,000), which is significantly higher than previous estimates. Our study indicates that a large number of infections in Wuhan were not diagnosed, which has resulted in an overestimated case fatality rate. CONCLUSIONS: Increased awareness of the original infection rate of Wuhan is critical for proper public health measures at all levels, as well as to eliminate panic caused by overestimated mortality rates that may bias health policy actions by the authorities. |*Betacoronavirus[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Coronavirus Infections/*epidemiology[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology[MESH] |Public Health[MESH]The Infection Rate of COVID-19 in Wuhan, China: Combined Analysis of P(epmc).pdf DeepDyve Pubget Overpricing