activity
20182026
most citedA Bayesian hierarchical small-area population model accounting for data source specific methodologies from American Community Survey, Population Estimates Program, and Decennial Census data

3 citations · 6 across the 15 of their papers we have counts for

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6 papers · 1 filter

stat.AP2026

A varying-coefficient model for characterizing duration-driven heterogeneity in flood-related health impacts

Sarika Aggarwal, Phillip B. Nicol, Brent A. Coull +1

Previous work revealed associations between flood exposure and adverse health outcomes during and in the aftermath of flood events. Floods are highly heterogeneous events, largely…

stat.AP2023★ 2 cited

Severe flooding and cause-specific hospitalization in the United States

Sarika Aggarwal, Jie K. Hu, Jonathan A. Sullivan +2

Flooding is one of the most disruptive and costliest climate-related disasters and presents an escalating threat to population health due to climate change and urbanization pattern…

stat.AP2023

Spatio-temporal quasi-experimental methods for rare disease outcomes: The impact of reformulated gasoline on childhood hematologic cancer

Sofia L. Vega, Rachel C. Nethery

Although some pollutants emitted in vehicle exhaust, such as benzene, are known to cause leukemia in adults with high exposure levels, less is known about the relationship between…

stat.AP2022

Impacts of Census Differential Privacy for Small-Area Disease Mapping to Monitor Health Inequities

Yanran Li, Brent A. Coull, Nancy Krieger +4

The US Census Bureau will implement a new privacy-preserving disclosure avoidance system (DAS), which includes application of differential privacy, on the public-release 2020 censu…

stat.AP2020

Integrated causal-predictive machine learning models for tropical cyclone epidemiology

Rachel C. Nethery, Nina Katz-Christy, Marianthi-Anna Kioumourtzoglou +3

Strategic preparedness has been shown to reduce the adverse health impacts of hurricanes and tropical storms, referred to collectively as tropical cyclones (TCs), but its protectiv…

stat.AP2019★ 1 cited

Causal inference and machine learning approaches for evaluation of the health impacts of large-scale air quality regulations

Rachel C. Nethery, Fabrizia Mealli, Jason D. Sacks +1

We develop a causal inference approach to estimate the number of adverse health events prevented by large-scale air quality regulations via changes in exposure to multiple pollutan…