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10.1017/S0950268820001685 http://scihub22266oqcxt.onion/10.1017/S0950268820001685 32713371!7399141!32713371     free     free     free Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Epidemiol+Infect 2020 ; 148 (ä): e163 Nephropedia Template TP {{tp|p=32713371|t=2020. Geographical variation in case fatality rate and doubling time during the COVID-19 pandemic |pdf=|usr=}}{{32713371}} gab.com Text Geographical variation in case fatality rate and doubling time during the COVID-19 pandemic JO: Epidemiol Infect http://www.kidney.de/pget.php?&tw=1&pmid=32713371 #FOAvip Case fatality rate (CFR) and doubling time are important characteristics of any epidemic. For coronavirus disease 2019 (COVID-19), wide variations in the CFR and doubling time have been noted among various countries. Early in the epidemic, CFR calculations involving all patients as denominator do not account for the hospitalised patients who are ill and will die in the future. Hence, we calculated cumulative CFR (cCFR) using only patients whose final clinical outcomes were known at a certain time point. We also estimated the daily average doubling time. Calculating CFR using this method leads to temporal stability in the fatality rates, the cCFR stabilises at different values for different countries. The possible reasons for this are an improved outcome rate by the end of the epidemic and a wider testing strategy. The United States, France, Turkey and China had high cCFR at the start due to low outcome rate. By 22 April, Germany, China and South Korea had a low cCFR. China and South Korea controlled the epidemic and achieved high doubling times. The doubling time in Russia did not cross 10 days during the study period. Twit Text FOAVip Geographical variation in case fatality rate and doubling time during the COVID-19 pandemic ????Epidemiol Infect http://www.kidney.de/pget.php?&tw=1&pmid=32713371 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32713371 #FOAvip English Wikipedia <ref>{{Cite pmid|32713371}}</ref> Geographical variation in case fatality rate and doubling time during the COVID-19 pandemic #MMPMID32713371 Mazumder A; Arora M; Sra MS; Gupta A; Behera P; Gupta M; Agarwal M; Rao A; Mohanta SS; Parameswaran GG; Lohiya A; Shewade HD Epidemiol Infect 2020[Jul]; 148 (ä): e163 PMID32713371show ga Case fatality rate (CFR) and doubling time are important characteristics of any epidemic. For coronavirus disease 2019 (COVID-19), wide variations in the CFR and doubling time have been noted among various countries. Early in the epidemic, CFR calculations involving all patients as denominator do not account for the hospitalised patients who are ill and will die in the future. Hence, we calculated cumulative CFR (cCFR) using only patients whose final clinical outcomes were known at a certain time point. We also estimated the daily average doubling time. Calculating CFR using this method leads to temporal stability in the fatality rates, the cCFR stabilises at different values for different countries. The possible reasons for this are an improved outcome rate by the end of the epidemic and a wider testing strategy. The United States, France, Turkey and China had high cCFR at the start due to low outcome rate. By 22 April, Germany, China and South Korea had a low cCFR. China and South Korea controlled the epidemic and achieved high doubling times. The doubling time in Russia did not cross 10 days during the study period. |Age Factors[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Coronavirus Infections/*mortality/prevention & control/transmission[MESH] |Europe/epidemiology[MESH] |Humans[MESH] |India/epidemiology[MESH] |Iran/epidemiology[MESH] |Pandemics/prevention & control[MESH] |Pneumonia, Viral/*mortality/prevention & control/transmission[MESH] |Republic of Korea/epidemiology[MESH] |Time Factors[MESH]Geographical variation in case fatality rate and doubling time during (epmc).pdf DeepDyve Pubget Overpricing