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Assessing Health System Resilience to Climate-Related Emergencies in Small Island States

by Carlos A. Benítez-Paredes, Víctor H. Ponce-Rivas

Health Policy & Systems Research 2025, 12(1), A13https://doi.org/10.9999/cg.2025.a13Published: 12 Jun 20269 pages, 1940 KB

Abstract

A framework and rapid appraisal of preparedness for hurricanes, floods and heat events, with indicators for infrastructure, surge capacity and continuity of essential services.

1. Introduction

Public health research in this area has advanced rapidly over the last decade. Here we outline the evidence gap addressed by this work and summarize its main contributions to health policy and practice in the Caribbean and Latin America.

2. Materials and Methods

We analyzed population data using standardized epidemiological methods. Quantitative analyses were performed with multivariable models and statistical significance was assessed at α = 0.05. Ethical approval and informed-consent procedures followed institutional and international guidelines throughout the study.

3. Results

The results show consistent and reproducible trends across subgroups, summarized in Figures 1–2 below and discussed in relation to previous regional and international studies.

Figure 1. Temporal trends in the primary health outcome across the study population.
Figure 2. Geographic distribution of the studied condition by administrative area.

4. Discussion

Our findings support the proposed hypothesis and align with recent reports in the literature. Limitations include sample size and geographic coverage, which should be addressed in future multi-center collaborations across the region.

5. Conclusions

We conclude that the approach is feasible and scalable, and we provide concrete recommendations for practitioners, institutions and policy makers.

Cite this article
@article{a132025,
  title={Assessing Health System Resilience to Climate-Related Emergencies in Small Island States},
  author={Carlos A. Benítez-Paredes and Víctor H. Ponce-Rivas},
  journal={Health Policy & Systems Research},
  year={2025},
  doi={10.9999/cg.2025.a13}
}