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10.17269/s41997-020-00367-6 http://scihub22266oqcxt.onion/10.17269/s41997-020-00367-6 32578184!7309693!32578184     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\32578184.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Can+J+Public+Health 2020 ; 111 (3): 397-400 Nephropedia Template TP {{tp|p=32578184|t=2020. It can be dangerous to take epidemic curves of COVID-19 at face value |pdf=|usr=}}{{32578184}} gab.com Text It can be dangerous to take epidemic curves of COVID-19 at face value JO: Can J Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32578184 #FOAvip During an epidemic with a new virus, we depend on modelling to plan the response: but how good are the data? The aim of our work was to better understand the impact of misclassification errors in identification of true cases of COVID-19 on epidemic curves. Data originated from Alberta, Canada (available on 28 May 2020). There is presently no information of sensitivity (Sn) and specificity (Sp) of laboratory tests used in Canada for the causal agent for COVID-19. Therefore, we examined best attainable performance in other jurisdictions and similar viruses. This suggested perfect Sp and Sn 60-95%. We used these values to re-calculate epidemic curves to visualize the potential bias due to imperfect testing. If the sensitivity improved, the observed and adjusted epidemic curves likely fall within 95% confidence intervals of the observed counts. However, bias in shape and peak of the epidemic curves can be pronounced, if sensitivity either degrades or remains poor in the 60-70% range. These issues are minor early in the epidemic, but hundreds of undiagnosed cases are likely later on. It is therefore hazardous to judge progress of the epidemic based on observed epidemic curves unless quality of testing is better understood. Twit Text FOAVip It can be dangerous to take epidemic curves of COVID-19 at face value ????Can J Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32578184 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32578184 #FOAvip English Wikipedia <ref>{{Cite pmid|32578184}}</ref> It can be dangerous to take epidemic curves of COVID-19 at face value #MMPMID32578184 Burstyn I; Goldstein ND; Gustafson P Can J Public Health 2020[Jun]; 111 (3): 397-400 PMID32578184show ga During an epidemic with a new virus, we depend on modelling to plan the response: but how good are the data? The aim of our work was to better understand the impact of misclassification errors in identification of true cases of COVID-19 on epidemic curves. Data originated from Alberta, Canada (available on 28 May 2020). There is presently no information of sensitivity (Sn) and specificity (Sp) of laboratory tests used in Canada for the causal agent for COVID-19. Therefore, we examined best attainable performance in other jurisdictions and similar viruses. This suggested perfect Sp and Sn 60-95%. We used these values to re-calculate epidemic curves to visualize the potential bias due to imperfect testing. If the sensitivity improved, the observed and adjusted epidemic curves likely fall within 95% confidence intervals of the observed counts. However, bias in shape and peak of the epidemic curves can be pronounced, if sensitivity either degrades or remains poor in the 60-70% range. These issues are minor early in the epidemic, but hundreds of undiagnosed cases are likely later on. It is therefore hazardous to judge progress of the epidemic based on observed epidemic curves unless quality of testing is better understood. |*Epidemics[MESH] |Bias[MESH] |COVID-19[MESH] |COVID-19 Testing[MESH] |Canada/epidemiology[MESH] |Clinical Laboratory Techniques/*standards[MESH] |Coronavirus Infections/*diagnosis/*epidemiology[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia, Viral/*diagnosis/*epidemiology[MESH] |Probability[MESH]It can be dangerous to take epidemic curves of COVID-19 at face value (epmc).pdf DeepDyve Pubget Overpricing