This journal article provides background information and advocates for the use of data on COVID-19 to draft appropriate policy serving mitigation efforts. Technical language is discussed, with the goal of providing tools for case definition.
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.