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COVID-19, Public Health Surveillance, and Excess Mortality


The heterogeneity of COVID-19 surveillance methods, including testing differences; comorbidities that may confound diagnosis; different intervention timing; and delays in awareness, make it difficult to determine the actual magnitude of the pandemic. This Working Group aims to develop methods to count confirmed cases and total mortality (not cause specific) resulting from the COVID-19 pandemic. Specifically, it will build a working framework of reference; link databases for an assessment of historic trends and current country and jurisdictional total mortality; model excess mortality; and identify subgroups facing higher mortality risks.

Working Group Lead

Carlos Santos-Burgoa, George Washington University

Working Group Members

Farida B. Ahmad, National Center for Health Statistics
Otto Albuquerque Beckedorff, Faculdade de Medicina São Leopoldo Mandic de Campinas
Emily Cercone, National Center for Health Statistics
Andre Ricardo Ribas Freitas, Faculdade de Medicina São Leopoldo Mandic de Campinas
Ann Goldman, George Washington University
Ashley Hogan, George Washington University
Maria Juiz-Gallego, Puerto Rico Department of Health
Dalia Khattab, George Washington University
Nicole Montenegro de Medeiros, Faculdade de Medicina São Leopoldo Mandic de Campinas
Rebecca Noe, Centers for Disease Control and Prevention
Donald Olson, New York City Department of Health and Mental Hygiene
Horacio Riojas-Rodriguez, National Institute of Public Health-Mexico
Lauren Rossen, National Center for Health Statistics
Carolina Santamaria-Ulloa, University of Costa Rica
Diane Uschner, George Washington University
Gretchen Van Wye, New York City Department of Health and Mental Hygiene
Margaret Warner, National Center for Health Statistics

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