ReviewFrontiers in public health2022
Mitigation strategies for heat-related illness during mass gatherings: Hajj experience.
Review in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 12 citations in OpenAlex.
- Review
- Demographic Profiles, Clinical Characteristics, and Meteorological Context of Heat-Related Illnesses among Hajj Pilgrims in 2023.Saudi medical journal · 2026Article
- Prevalence and Risk Factors of Heat-Related Illness Among Pilgrims During the Hajj Season 2024: A Cross-Sectional Study.Journal of epidemiology and global health · 2026Article
- Clinical Characteristics, Complications, and Outcomes of Heat Stroke Among Pilgrims During the Hajj Mass Gathering: A Prospective Cohort Study.Open access emergency medicine : OAEM · 2026Article
- Risk of heat-related illnesses and preventive measures at mass gathering rock festivals in the summer of 2023 in Japan.Environmental health and preventive medicine · 2026Article
- Heatstroke knowledge and predictors among Hajj health volunteers in Saudi Arabia: a cross-sectional study.PeerJ · 2026Article
- Disaster management knowledge, education and training among Saudi paramedics a scoping review.BMC public health · 2025Article
- Critical determinants of morbidity and adverse outcomes during the Hajj using the Haddon matrix and the combined model.Scientific reports · 2025Article
- Health Risk Behaviors and Associated Factors Among Hajj 2024 Pilgrims: A Multinational Cross-Sectional Study.Risk management and healthcare policy · 2025Article
- Escalating climate-related health risks for Hajj pilgrims to Mecca.Journal of travel medicine · 2024Observational
- Precision Public Health Opportunity: Heat-Associated Mortality Greater among Pilgrims during Hajj.Environmental health perspectives · 2023Article
- Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: To mitigate morbidity, mortality, and impacts of heat-related illnesses (HRIs) on health, it was vital to implement a comprehensive framework for HRI prevention and control. A recognized tool from the field of trauma prevention known as the Haddon matrix was applied. The matrix states that any event is affected by three factors: host, agent, and environment. In addition, another recognized tool known as the combined model was used in this study. The combined model is a three-dimensional model that includes the idea for the three axes of Haddon's matrix with the methodology of the community risk reduction (CRR) model. Aim of the study: To identify the environmental and individual risk factors of HRIs based on the Haddon matrix and the recommended prevention strategies by the CRR tool by using the combined model. Methodology: An extensive literature review was conducted to assess all the risk factors associated with HRI, as well as preventive measures. Then the Haddon matrix was used to structure, separating human factors from technical and environmental details and timing. After that, the combined model was used to set all responses and mitigation measures for each element obtained from the Haddon matrix tool. Conclusion: Projected increases in heat stress over the globe require the formulation and implementation of evidence-based HRI mitigation and preventive measures. In this study, we implemented the combined model that was utilized as a systematic strategy for the more theoretical framework of Haddon's matrix. Using the Haddon matrix to determine the HRI risk factors and the combined model to mitigate its impact was practical and helpful in planning, preparedness, and mitigating the HRIs during Hajj, provided a broad approach equivalent to the Swiss cheese model, and would facilitate an informed decision.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.