Preprints
https://doi.org/10.5194/egusphere-2025-3693
https://doi.org/10.5194/egusphere-2025-3693
14 Aug 2025
 | 14 Aug 2025
Status: this preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).

Community-Scale Assessment of Flood-Related Public Health Vulnerability Using Multi-Criteria AHP in Northwestern Bangladesh

Nafisa Nuari Islam, Tonoy Mahmud, Shamima Ferdousi Sifa, Md. Asif Rafsan, A. S. M. Maksud Kamal, Md. Shakhawat Hossain, and Md. Zillur Rahman

Abstract. Bangladesh faces heightened flood vulnerability due to climate change, particularly in riverine areas where health impacts are severe. The study aims to estimate the public health vulnerability in Dimla Upazila (Nilphamari district) using the Analytical Hierarchy Process (AHP), incorporating expert-weighted indicators: socio-demographics, WASH infrastructure, healthcare access, flood intensity, relief availability, and adaptation capacity. 315 households from six unions were randomly selected and structured survey were performed in 2019. Results reveal the contribution of all indicators to public health vulnerability whereas flooding intensity has been the most influencing factor, followed by relief accessibility, healthcare service accessibility, WASH infrastructure availability, and the adoption of adaptation capacity. The findings indicate that the northern region (Purba Chhatnai) exhibits the highest vulnerability due to its low socioeconomic status and limited access to relief services. In contrast, Tepa Kharibari—a centrally located union adjacent to the river—experiences frequent flooding but demonstrates moderate vulnerability owing to robust DRR measures, underscoring that physical exposure alone does not determine health risks. This study pioneers an integrated approach that connects household-level vulnerabilities, infrastructure robustness, and post-disaster responses to reveal previously unrecognized patterns in public health vulnerability in flood-prone regions worldwide. The findings demonstrate that combining proactive risk reduction with reactive emergency measures significantly enhances community health resilience, offering a transformative approach to disaster management. Furthermore, the research outcomes can assist policymakers in identifying gaps within the existing public health infrastructure of flood-prone areas, enabling the adoption of targeted DRR interventions to foster healthier and more resilient communities.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Nafisa Nuari Islam, Tonoy Mahmud, Shamima Ferdousi Sifa, Md. Asif Rafsan, A. S. M. Maksud Kamal, Md. Shakhawat Hossain, and Md. Zillur Rahman

Status: open (until 25 Sep 2025)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2025-3693', Anonymous Referee #1, 15 Aug 2025 reply
    • AC2: 'Reply on RC1', Nafisa Nuari Islam, 23 Aug 2025 reply
  • AC1: 'Comment on egusphere-2025-3693', Nafisa Nuari Islam, 23 Aug 2025 reply
Nafisa Nuari Islam, Tonoy Mahmud, Shamima Ferdousi Sifa, Md. Asif Rafsan, A. S. M. Maksud Kamal, Md. Shakhawat Hossain, and Md. Zillur Rahman
Nafisa Nuari Islam, Tonoy Mahmud, Shamima Ferdousi Sifa, Md. Asif Rafsan, A. S. M. Maksud Kamal, Md. Shakhawat Hossain, and Md. Zillur Rahman

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Short summary
This research uncovers a transformative insight: flood severity alone doesn't dictate community health outcomes – it's the human systems surrounding disasters that determine survival. Micro-local preparedness systems can neutralize macro-climatic threats which shows that intelligent disaster planning can beat geographical fate. The implications are global -our methodology blueprint for flood-prone areas worldwide, helping vulnerable communities become resilient through smart planning.
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