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Considerations for Improving Reporting and Analysis of Date-Based COVID-19 Surveillance Data by Public Health
Ian Hennessee1, Julie A Clennon1, Lance A Waller1
1Ian Hennessee is a PhD candidate with the Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA. Julie Clennon and Uriel Kitron are with the Department of Environmental Sciences, Emory University. Lance Waller is with the Department of Biostatistics and Bioinformatics, Emory University. J. Michael Bryan is with the Georgia Department of Public Health (GDPH), Atlanta.
Abstract:
More than a year after the first domestic COVID-19 cases, the United States does not have national standards for COVID-19 surveillance data analysis and public reporting. This has led to dramatic variations in surveillance practices among public health agencies, which analyze and present newly confirmed cases by a wide variety of dates. The choice of which date to use should be guided by a balance between interpretability and epidemiological relevance. Report date is easily interpretable, generally representative of outbreak trends, and available in surveillance data sets. These features make it a preferred date for public reporting and visualization of surveillance data, although it is not appropriate for epidemiological analyses of outbreak dynamics. Symptom onset date is better suited for such analyses because of its clinical and epidemiological relevance. However, using symptom onset for public reporting of new confirmed cases can cause confusion because reporting lags result in an artificial decline in recent cases. We hope this discussion is a starting point toward a more standardized approach to date-based surveillance. Such standardization could improve public comprehension, policymaking, and outbreak response. (Am J Public Health. 2021;111(12):2127-2132. https://doi.org/10.2105/AJPH.2021.306520).
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