biostudies-literatureUnknown36(1)van Walraven C<h4>Background</h4>The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes COVID-19 disease. There are concerns regarding limited testing capacity and the exclusion of cases from unproven screening criteria. Knowing COVID-19 risks can inform testing. This study derived and assessed a model to predict risk of SARS-CoV-2 in community-based people.<h4>Methods</h4>All people presenting to a community-based COVID-19 screening center answered questions regarding symptoms, possible exposure, travel, and occupation. These data were anonymously linked to SARS-CoV-2 testing results. Logistic regression was used to derive a model to predict SARS-CoV-2 infection. Bootstrap sampling evaluated the model.<h4>Results</h4>A total of 9172 consecutive people were studied. Overall infection raJournal of general internal medicine162-169https://www.ebi.ac.uk/biostudies/studies/S-EPMC7587546biostudies-literatureDerivation and Internal Validation of a Model to Predict the Probability of Severe Acute Respiratory Syndrome Coronavirus-2 Infection in Community People.PMC7587546Desjardins Mvan Walraven CForster AJManuel DGfalseDerivation and Internal Validation of a Model to Predict the Probability of Severe Acute Respiratory Syndrome Coronavirus-2 Infection in Community People.<h4>Background</h4>The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes COVID-19 disease. There are concerns regarding limited testing capacity and the exclusion of cases from unproven screening criteria. Knowing COVID-19 risks can inform testing. This study derived and assessed a model to predict risk of SARS-CoV-2 in community-based people.<h4>Methods</h4>All people presenting to a community-based COVID-19 screening center answered questions regarding symptoms, possible exposure, travel, and occupation. These data were anonymously linked to SARS-CoV-2 testing results. Logistic regression was used to derive a model to predict SARS-CoV-2 infection. Bootstrap sampling evaluated the model.<h4>Results</h4>A total of 9172 consecutive people were studied. Overall infection ra2021-01-01T00:00:00Z2021 Jan2025-04-04T13:13:14.588Z2020-10-30T08:36:34ZS-EPMC75875463310700710.1007/s11606-020-06307-x