Taylor Fortnam, Ph.D.

Research Scientist I

Taylor Fortnam joined the statistics group at MetrumRG in August 2024. Her PhD research at Brown University, completed in collaboration with the Rhode Island Department of Health, focused on applying Bayesian causal inference methodology to COVID-19 policy evaluation and localized case monitoring, developing a method for utilizing case data in vaccine effectiveness surveillance, and incorporating social determinants of health into epidemiological infectious disease modeling. She has also completed internships in the pharmaceutical industry in both oncology/bioinformatics and drug development branches.

Recent publications by this scientist

Dynamic Case-Control Sampling for Rapid Estimation of Vaccine Effectiveness Against an Emerging Infectious Disease Variant

April 1, 2025

Presented at the ENAR 2025 Spring Meeting. Monitoring vaccine effectiveness (VE) against emerging variants is critical, but traditional methods can take substantial time to implement. This presentations includes an approach that leverages dynamic case-control sampling to provide timely VE estimates–helping public health officials make more informed decisions.

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