Publications
A comprehensive portfolio of professional recognition and peer-reviewed works demonstrating methodological rigor across health and democracy sectors.
Research Themes & Directions
What is the primary focus of Kevin Matthews' work in spatial epidemiology?
The work focuses on identifying and quantifying geographic bias in health outcomes, specifically looking at how residential segregation, rurality, and travel-time to care create structural disparities in cancer survival and dementia prevalence.
How does this research utilize administrative health data?
Using Medicare Fee-for-Service (FFS) and Medicare Advantage (MA) claims data, we model per-capita spending and health service utilization potential across rural-urban continuums to detect regional variations in chronic condition concentration.
What methodological contributions have been made to geographic access modeling?
Key contributions include the development of the supply-concentric demand-accumulation spatial availability index and new methods for analyzing time-to-place data using survival analysis (Cox Proportional Hazard modeling).
Papers by Topic Area
COVID-19
Cancer (disease)
Cancer (treatment)
Cardiac Rehabilitation
Chronic Obstructive Pulmonary Disease
Dementia
Emergency Preparedness
Hospital-acquired Methicillin-resistant Staphylococcus aureus (MRSA)
Obesity and Health Behaviors
Pulmonary Rehabilitation
Suicide
Papers by Quantitative Methods
Demographic Trend Analysis
Geocoding
Geographic cluster detection
Modeling geographic access to health care
Small Area Estimation
Small Number Problem
Spatiotemporal correlation
Survival analysis (Kaplan-Meier Survival Estimates and Cox Proportional Hazard)
Travel time analysis
Papers by Data Environment
Administrative health utilization claims (Medicare) data
Cancer Registry Data
Electronic Health Record Data
Research Themes & Directions
What is the primary focus of Kevin Matthews' work in spatial epidemiology?
The work focuses on identifying and quantifying geographic bias in health outcomes, specifically looking at how residential segregation, rurality, and travel-time to care create structural disparities in cancer survival and dementia prevalence.
How does this research utilize administrative health data?
Using Medicare Fee-for-Service (FFS) and Medicare Advantage (MA) claims data, we model per-capita spending and health service utilization potential across rural-urban continuums to detect regional variations in chronic condition concentration.
What methodological contributions have been made to geographic access modeling?
Key contributions include the development of the supply-concentric demand-accumulation spatial availability index and new methods for analyzing time-to-place data using survival analysis (Cox Proportional Hazard modeling).