Analysis of the COVID-19 pandemic in Bavaria: adjusting for misclassification
Analysis of the COVID-19 pandemic in Bavaria: adjusting for misclassification
Abstract We present a method for adjusting the observed epidemic curve of daily new COVID-19 onsets for possible misclassification in infection diagnostics. We discuss different assumptions for specificity and sensitivity of the person-specific COVID-19 diagnostics based on PCR-tests, which are the basis for the daily reported case counts. A specificity of less than one implies occurrence of false positive cases, which becomes particularly relevant with an increased number of tests. The recent increase in cases in Bavaria could therefore be smaller than reported. However, an increase in case counts can still be seen from Mid-July until September 2020. The additional consideration of a sensitivity less than one, i.e., the occurrence of false negative tests, results in an epidemic curve in which the daily case counts are increased by a constant factor, but the structure of the curve does not change considerably.
Bender Andreas、Wildner Manfred、H?hle Michael、K¨1chenhoff Helmut、G¨1nther Felix
Statistical Consulting Unit StaBLabBavarian Health and Food Safety Authority / Pettenkofer School of Public Health, Oberschlei?heimDepartment of Mathematics, Stockholm UniversityStatistical Consulting Unit StaBLabStatistical Consulting Unit StaBLab||Department of Genetic Epidemiology, University of Regensburg
医学研究方法医药卫生理论
Bender Andreas,Wildner Manfred,H?hle Michael,K¨1chenhoff Helmut,G¨1nther Felix.Analysis of the COVID-19 pandemic in Bavaria: adjusting for misclassification[EB/OL].(2025-03-28)[2025-09-01].https://www.medrxiv.org/content/10.1101/2020.09.29.20203877.点此复制
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