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Understanding heat-driven health risks: Spatiotemporal dynamics and regional vulnerability in new Mexico
Moongi Choi1, Chelsea Eastman Langer2, Colin Hawkinson2
1Department of Geography, Florida State University, 113 Collegiate Loop, Tallahassee, FL, 32306, USA.
Prolonged summer heat significantly impacts hospitalizations, especially when combined with social vulnerabilities. Targeted, region-specific interventions are crucial for managing heat-related health risks and ensuring equitable healthcare access.
Area of Science:
- Environmental Health
- Public Health
- Climate Change Adaptation
Background:
- Climate change exacerbates heat-related health risks through complex environmental and social interactions.
- Existing research often overlooks the cumulative effects of prolonged heat and its interplay with social vulnerabilities on overall hospitalization trends.
- Understanding the spatiotemporal dynamics of heat-risk factors is crucial for public health preparedness.
Purpose of the Study:
- To investigate the association between all-cause hospitalization rates and heat-risk factors (WBGT, social vulnerabilities, PM2.5) in New Mexico (2016-2022).
- To analyze the spatiotemporal variations in hospitalization risk influenced by environmental and social determinants of health.
- To identify regional disparities in heat-related health impacts and inform geographically tailored interventions.
Main Methods:
- Utilized a spatiotemporal Bayesian model to assess the relationship between hospitalization rates and heat-risk factors.
- Employed Self-Organizing Maps (SOM) to identify distinct regional patterns and clusters of risk.
- Integrated data on Wet-Bulb Globe Temperature (WBGT), social vulnerability indices, and PM2.5 concentrations.
Main Results:
- The positive association between WBGT and hospitalizations emerged only after accounting for heat-related social vulnerabilities.
- Despite an overall decrease in hospitalization rates, a concerning increase in relative risk suggests potential healthcare access inequalities.
- SOM analysis revealed significant regional heterogeneity, with some areas predominantly influenced by environmental factors and others by social vulnerabilities.
Conclusions:
- Geographically differentiated public health interventions are necessary to address the evolving impact of heat-risk factors.
- Effective resource allocation requires understanding the dominant drivers of heat-related hospitalization risk in specific regions.
- Addressing underlying healthcare access inequalities is vital for mitigating the escalating burden of heat-related illnesses.
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