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10.1016/j.ijid.2020.04.021 http://scihub22266oqcxt.onion/10.1016/j.ijid.2020.04.021 32320809!7167222!32320809     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       Int+J+Infect+Dis 2020 ; 94 (ä): 116-118 Nephropedia Template TP {{tp|p=32320809|t=2020. Changes in testing rates could mask the novel coronavirus disease (COVID-19) growth rate |pdf=|usr=}}{{32320809}} gab.com Text Changes in testing rates could mask the novel coronavirus disease (COVID-19) growth rate JO: Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32320809 #FOAvip Since the novel coronavirus disease (COVID-19) emerged in December 2019 in China, it has rapidly spread around the world, leading to one of the most significant pandemic events of recent history. Deriving reliable estimates of the COVID-19 epidemic growth rate is quite important to guide the timing and intensity of intervention strategies. Indeed, many studies have quantified the epidemic growth rate using time-series of reported cases during the early phase of the outbreak to estimate the basic reproduction number, R(0). Using daily time series of COVID-19 incidence, we illustrate how epidemic curves of reported cases may not always reflect the true epidemic growth rate due to changes in testing rates, which could be influenced by limited diagnostic testing capacity during the early epidemic phase. Twit Text FOAVip Changes in testing rates could mask the novel coronavirus disease (COVID-19) growth rate ????Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32320809 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32320809 #FOAvip English Wikipedia <ref>{{Cite pmid|32320809}}</ref> Changes in testing rates could mask the novel coronavirus disease (COVID-19) growth rate #MMPMID32320809 Omori R; Mizumoto K; Chowell G Int J Infect Dis 2020[May]; 94 (ä): 116-118 PMID32320809show ga Since the novel coronavirus disease (COVID-19) emerged in December 2019 in China, it has rapidly spread around the world, leading to one of the most significant pandemic events of recent history. Deriving reliable estimates of the COVID-19 epidemic growth rate is quite important to guide the timing and intensity of intervention strategies. Indeed, many studies have quantified the epidemic growth rate using time-series of reported cases during the early phase of the outbreak to estimate the basic reproduction number, R(0). Using daily time series of COVID-19 incidence, we illustrate how epidemic curves of reported cases may not always reflect the true epidemic growth rate due to changes in testing rates, which could be influenced by limited diagnostic testing capacity during the early epidemic phase. |*Coronavirus Infections/epidemiology[MESH] |*Pandemics[MESH] |*Pneumonia, Viral/epidemiology[MESH] |Basic Reproduction Number[MESH] |Betacoronavirus/*physiology[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Disease Outbreaks[MESH] |Humans[MESH] |SARS-CoV-2[MESH]Changes in testing rates could mask the novel coronavirus disease (COV(epmc).pdf DeepDyve Pubget Overpricing