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10.1093/aje/kwaa174 http://scihub22266oqcxt.onion/10.1093/aje/kwaa174 32803245!7454308!32803245     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Am+J+Epidemiol 2021 ; 190 (1): 109-115 Nephropedia Template TP {{tp|p=32803245|t=2021. Adjusting Coronavirus Prevalence Estimates for Laboratory Test Kit Error |pdf=|usr=}}{{32803245}} gab.com Text Adjusting Coronavirus Prevalence Estimates for Laboratory Test Kit Error JO: Am J Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=32803245 #FOAvip Testing representative populations to determine the prevalence or the percentage of the population with active severe acute respiratory syndrome coronavirus 2 infection and/or antibodies to infection is being recommended as essential for making public policy decisions to ease restrictions or to continue enforcing national, state, and local government rules to shelter in place. However, all laboratory tests are imperfect and have estimates of sensitivity and specificity less than 100%-in some cases, considerably less than 100%. That error will lead to biased prevalence estimates. If the true prevalence is low, possibly in the range of 1%-5%, then testing error will lead to a constant background of bias that most likely will be larger, and possibly much larger, than the true prevalence itself. As a result, what is needed is a method for adjusting prevalence estimates for testing error. Methods are outlined in this article for adjusting prevalence estimates for testing error both prospectively in studies being planned and retrospectively in studies that have been conducted. If used, these methods also would help harmonize study results within countries and worldwide. Adjustment can lead to more accurate prevalence estimates and to better policy decisions. However, adjustment will not improve the accuracy of an individual test. Twit Text FOAVip Adjusting Coronavirus Prevalence Estimates for Laboratory Test Kit Error ????Am J Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=32803245 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32803245 #FOAvip English Wikipedia <ref>{{Cite pmid|32803245}}</ref> Adjusting Coronavirus Prevalence Estimates for Laboratory Test Kit Error #MMPMID32803245 Sempos CT; Tian L Am J Epidemiol 2021[Jan]; 190 (1): 109-115 PMID32803245show ga Testing representative populations to determine the prevalence or the percentage of the population with active severe acute respiratory syndrome coronavirus 2 infection and/or antibodies to infection is being recommended as essential for making public policy decisions to ease restrictions or to continue enforcing national, state, and local government rules to shelter in place. However, all laboratory tests are imperfect and have estimates of sensitivity and specificity less than 100%-in some cases, considerably less than 100%. That error will lead to biased prevalence estimates. If the true prevalence is low, possibly in the range of 1%-5%, then testing error will lead to a constant background of bias that most likely will be larger, and possibly much larger, than the true prevalence itself. As a result, what is needed is a method for adjusting prevalence estimates for testing error. Methods are outlined in this article for adjusting prevalence estimates for testing error both prospectively in studies being planned and retrospectively in studies that have been conducted. If used, these methods also would help harmonize study results within countries and worldwide. Adjustment can lead to more accurate prevalence estimates and to better policy decisions. However, adjustment will not improve the accuracy of an individual test. |*Pandemics[MESH] |*SARS-CoV-2[MESH] |COVID-19 Serological Testing/*instrumentation[MESH] |COVID-19/*epidemiology[MESH] |Equipment Design[MESH]Adjusting Coronavirus Prevalence Estimates for Laboratory Test Kit Err(epmc).pdf DeepDyve Pubget Overpricing