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Heat And Socioeconomic Deprivation Compound To Drive Coronary Heart Disease In Los Angeles, Shutong Huo, Tessa R. Pulido, Reginald S. Archer, Joshua B. Fisher, Jason A. Douglas

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Background:

Socioeconomic deprivation and environmental heat exposure each increase cardiovascular risk, yet evidence is limited on how these stressors co-occur and jointly shape disease burden within cities. Mapping their overlap can inform equity-oriented planning and needs-based allocation of health and social protection resources.

Methods:

We conducted an ecological geospatial analysis of 2,513 census tracts in Los Angeles County. Adult coronary heart disease (CHD) prevalence was obtained from CDC Population Level Analysis and Community Estimates (2021). Socioeconomic deprivation was measured using the Social Deprivation Index (SDI), and heatwave surface heat hazard was measured using land surface temperature (LST) retrieved from the …

Beyond Smoking: A Geospatial Investigation Of Factors Associated With Lung And Bronchus Cancer Risk In Pennsylvania, Tesla D. Dubois, Daniel Wiese, Kevin A. Henry, Shannon M. Lynch

Kimmel Cancer Center Faculty Papers

INTRODUCTION: While smoking is the leading cause of lung and bronchus cancer (LBC), additional exposures have been implicated and may explain the rise in LBC among never-smokers. To better understand the spatial distribution of LBC incidence and associated risk factors, this study aims to identify geographic areas with significantly elevated incidence rates in Pennsylvania and investigate the potential underlying risk factors.

METHODS: Using cancer registry data aggregated to the census tract level, spatial scan statistics were applied to detect areas of higher-than-expected LBC incidence across the state. Associations were then tested between census tract inclusion in a high-incidence area and …

Temporal Geospatial Analysis Of Covid-19 Pre-Infection Determinants Of Risk In South Carolina, Tianchu Lyu, Nicole Hair, Nicholas Yell, Zhenlong Li, Shan Qiao Ph.D., Xiaoming Li Ph.D.

Faculty Publications

Disparities and their geospatial patterns exist in morbidity and mortality of COVID-19 patients. When it comes to the infection rate, there is a dearth of research with respect to the disparity structure, its geospatial characteristics, and the pre-infection determinants of risk (PIDRs). This work aimed to assess the temporal-geospatial associations between PIDRs and COVID-19 infection at the county level in South Carolina. We used the spatial error model (SEM), spatial lag model (SLM), and conditional autoregressive model (CAR) as global models and the geographically weighted regression model (GWR) as a local model. The data were retrieved from multiple sources including …

Temporal Geospatial Analysis Of Covid-19 Pre-Infection Determinants Of Risk In South Carolina, Tianchu Lyu, Nicole L. Hair, Nicholas Yell, Zhenlong Li, Shan Qiao, Chen Liang, Xiaoming Li

Faculty Publications

Disparities and their geospatial patterns exist in morbidity and mortality of COVID-19 patients. When it comes to the infection rate, there is a dearth of research with respect to the disparity structure, its geospatial characteristics, and the pre-infection determinants of risk (PIDRs). This work aimed to assess the temporal–geospatial associations between PIDRs and COVID-19 infection at the county level in South Carolina. We used the spatial error model (SEM), spatial lag model (SLM), and conditional autoregressive model (CAR) as global models and the geographically weighted regression model (GWR) as a local model. The data were retrieved from multiple sources including …