Evaluating COVID-19-Related Surveillance Measures for Decision-Making

Abstract

As the COVID-19 pandemic has continued to evolve, the types of data available have changed with the identification of new variants, the availability of COVID-19 vaccines, the introduction of new COVID-19 therapeutics, the reopening of the economy, and the relaxing of mitigation measures. Enhanced understanding of these data types can lead to more informed decisions. The latest guidance from the Societal Experts Action Network (SEAN) highlights new and updated COVID-19 data measures and surveillance strategies that decision makers can use to inform policy decisions. This rapid expert consultation was produced by SEAN, an activity of the National Academies of Sciences, Engineering, and Medicine that is sponsored by the National Science Foundation. SEAN links researchers in the social, behavioral, and economic sciences with decision makers to respond to policy questions arising from the COVID-19 pandemic. This project is a collaboration with the National Academies' Standing Committee on Emerging Infectious Diseases and 21st Century Health Threats, which is sponsored by the U.S. Department of Health and Human Services, Office of the Assistant Secretary for Preparedness and Response. © All rights reserved.