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.

Related Topics

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.

Related Sectors

Public Health

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