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New Findings Reported from Hannover Medical School Describe Advances in Chronic Disease (M2q or Something Else? the Impact of Varying Case Selection Criteria On the Prevalence Estimation of Chronic Diseases Based On Outpatient Diagnoses In ): Disease Attributes - Chronic Disease - Insurance News

New Findings Reported from Hannover Medical School Describe Advances in Chronic Disease (M2q or Something Else? the Impact of Varying Case Selection Criteria On the Prevalence Estimation of Chronic Diseases Based On Outpatient Diagnoses In ): Disease Attributes - Chronic Disease - Insurance News
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Fabian tetzlaffJuliane tetzlaffJelena eppingDas gesundheitswesenGeorg thieme verlagJonat stahmeyerHannover medical schoolInsurance dailyReporter staff news editorDisease attributesMedical schoolMethods administrativeResults prevalenceConclusions repeatedPrevalence estimation

Uncertainties in estimating SARS-CoV-2 prevalence by wastewater-based by Xuan Li, Shuxin Zhang et al

Abstract Wastewater-based epidemiology (WBE) is a promising approach for estimating population-wide COVID-19 prevalence through detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in wastewater. However, various methodological challenges associated with WBE would affect the accuracy of prevalence estimation. To date, the overall uncertainty of WBE and the impact of each step on the prevalence estimation are largely unknown. This study divided the WBE approach into five steps (i.e., virus shedding; in-sewer transportation; sampling and storage; analysis of SARS-CoV-2 RNA concentration in wastewater; back-estimation) and further summarized and quantified the uncertainties associated with each step through a systematic review. Although the shedding of SARS-CoV-2 RNA varied greatly between COVID-19 positive patients, with more than 10 infected persons in the catchment area, the uncertainty caused by the excretion rate became limited for the prevalence estimatio

Covid 19Monte carlo simulationPrevalence estimationArs cov 2Wastewater based epidemiology