Scott W. Olesen

Government of the United States of America - Center for Forecasting and Outbreak Analytics

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SARS-CoV-2 Sample Positivity in Travellers Can Predict Community Prevalence Rates: Data from the Traveller-Based Genomic Surveillance Programme

Number of pages: 28 Posted: 09 Feb 2024
Teresa Carolina Smith, Stephen M. Bart, Samantha M. Loh, Jessica Rothman, Nathan D. Grubaugh, Lauren Gardner, Robert C. Morfino, Benjamin R. Rome, Andrew P. Rothstein, Siyao Lisa Li, Ezra Ernst, Scott W. Olesen, Allison Taylor Walker, Cindy R. Friedman and Sarah Anne Guagliardo
Government of the United States of America - Division of Global Migration Health, Government of the United States of America - Division of Global Migration Health, Government of the United States of America - Division of Global Migration Health, Emory University - Department of Epidemiology, Yale University - Department of Epidemiology of Microbial Diseases, Johns Hopkins University - Department of Civil and Systems Engineering, Ginkgo BioWorks Inc, Ginkgo BioWorks Inc, Ginkgo BioWorks Inc, Ginkgo BioWorks Inc, XpresCheck, Government of the United States of America - Center for Forecasting and Outbreak Analytics, Government of the United States of America - Division of Global Migration Health, Government of the United States of America - Division of Global Migration Health and Government of the United States of America - Division of Global Migration Health
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SARS-CoV-2, COVID-19, surveillance, travelers, air travel