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10.1016/j.idm.2021.07.003 http://scihub22266oqcxt.onion/10.1016/j.idm.2021.07.003 34316526!8297971!34316526     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Infect+Dis+Model 2021 ; 6 (ä): 930-941 Nephropedia Template TP {{tp|p=34316526|t=2021. On testing for infections during epidemics, with application to Covid-19 in Ontario, Canada |pdf=|usr=}}{{34316526}} gab.com Text On testing for infections during epidemics, with application to Covid-19 in Ontario, Canada JO: Infect Dis Model http://www.kidney.de/pget.php?&tw=1&pmid=34316526 #FOAvip During an epidemic, accurate estimation of the numbers of viral infections in different regions and groups is important for understanding transmission and guiding public health actions. This depends on effective testing strategies that identify a high proportion of infections (that is, provide high ascertainment rates). For the novel coronavirus SARS-CoV-2, ascertainment rates do not appear to be high in most jurisdictions, but quantitative analysis of testing has been limited. We provide statistical models for studying testing and ascertainment rates, and illustrate them on public data on testing and case counts in Ontario, Canada. Twit Text FOAVip On testing for infections during epidemics, with application to Covid-19 in Ontario, Canada ????Infect Dis Model http://www.kidney.de/pget.php?&tw=1&pmid=34316526 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34316526 #FOAvip English Wikipedia <ref>{{Cite pmid|34316526}}</ref> On testing for infections during epidemics, with application to Covid-19 in Ontario, Canada #MMPMID34316526 Lawless JF; Yan P Infect Dis Model 2021[]; 6 (ä): 930-941 PMID34316526show ga During an epidemic, accurate estimation of the numbers of viral infections in different regions and groups is important for understanding transmission and guiding public health actions. This depends on effective testing strategies that identify a high proportion of infections (that is, provide high ascertainment rates). For the novel coronavirus SARS-CoV-2, ascertainment rates do not appear to be high in most jurisdictions, but quantitative analysis of testing has been limited. We provide statistical models for studying testing and ascertainment rates, and illustrate them on public data on testing and case counts in Ontario, Canada. äOn testing for infections during epidemics, with application to Covid-(epmc).pdf DeepDyve Pubget Overpricing