Topic

Pandemic Surveillance

Fillmore has examined the limitations of standard pandemic surveillance metrics, specifically how simple hospitalization counts and death attributions can misrepresent vaccine efficacy and disease burden. His research demonstrates that incorporating clinical markers of severity, such as hypoxemia and the administration of targeted therapeutics, provides a more accurate assessment of COVID-19 mortality and morbidity. This work emphasizes the need for refined surveillance tools to maintain data utility as population immunity and testing patterns evolve.

COVID-19 2 U.S. Veterans and VA Data 2 Real World Evidence 2 Logistic Regression 1 Model Validation 1 Observational Study 1 Death Attribution 1 Retrospective Cohort Study 1 Electronic Health Records 1 Vaccine Effectiveness 1 Hospitalization Metrics 1 Severe COVID-19 1

Publications (2)

2023

Maintaining the Utility of Coronavirus Disease 2019 Pandemic Severity Surveillance: Evaluation of Trends in Attributable Deaths and Development and Validation of a Measurement Tool.

Caitlin Trottier^†, Jennifer La^†, Lucy L. Li^†, Majd Alsoubani, Austin D. Vo, Nathanael R. Fillmore, Westyn Branch-Elliman, Shira Doron^‡, Paul A. Monach^‡^† Equal first authorship · ^‡ Equal senior authorship

Clinical Infectious Diseases77(9), 1247-1256

COVID-19 U.S. Veterans and VA Data Logistic Regression Model Validation Pandemic Surveillance

2023

Coronavirus disease 2019 (COVID-19) hospitalization metrics that do not account for disease severity underestimate protection provided by severe acute respiratory coronavirus virus 2 (SARS-CoV-2) vaccination and boosting: A retrospective cohort study.

June K. Corrigan^†, Jennifer La^†, Nathanael R. Fillmore, Nhan V. Do, Mary Brophy, Shira Doron, Paul A. Monach^‡, Westyn Branch-Elliman^‡^† Equal first authorship · ^‡ Equal senior authorship

Infection Control and Hospital Epidemiology44(1), 149-151

U.S. Veterans and VA Data Retrospective Cohort Study Electronic Health Records COVID-19 Vaccine Effectiveness