Dynamic Public Health Surveillance To Track and Mitigate The U.S. COVID-19 Epidemic: Longitudinal Trend Analysis Study

The purpose of this study was to develop dynamic metrics for public health surveillance that can inform worldwide COVID-19 prevention efforts.

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Disease Tracking and Surveillance

Disease surveillance helps us detect disease cases, understand burden of disease and risk factors, provide the basis for timely and informed decision-making, guide control measures, and monitor impacts. Since the onset of COVID-19, surveillance efforts have worked to provide real-time tracking and forecast data, despite challenges with diagnostic capacity, case reporting, insufficient contact tracing, and fragmented data systems. COVID-19 has highlighted the need to invest in modern data systems, expand and skill up the workforce, and ensure data reporting and interpretation retain high ethical and epidemiological standards.