Disaster risk reduction and healthcare support each other, including the mitigation of further harm after illness or injury. These connections are particularly relevant in locations which have permanent or temporary limited accessibility. In these circumstances, people are required to be self-sufficient in providing emergency and long-term healthcare with limited resources. Planning and preparing to mitigate further harm after illness or injury from disasters (disaster risk reduction) must include people living and working in locations with limited accessibility, meaning that participatory research can be used. The challenges and opportunities of enacting participatory research in such contexts have not been thoroughly examined. The research question of this paper is therefore, "What challenges and opportunities occur when participatory research links disaster risk reduction and healthcare to mitigate illness and injury in locations with limited accessibility?" To answer this research question, the method used is a qualitative evidence synthesis, combined with an overview paper approach. Two principal themes of challenges and opportunities are examined: defining the data and collecting the data. The themes are explored in theory and then through contextual examples. The conclusion is that an overarching challenge is divergent goals of research and actions that, when recognized, lead to opportunities for improved connections between disaster risk reduction and healthcare.
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http://dx.doi.org/10.3390/ijerph18010248 | DOI Listing |
F1000Res
March 2025
Center for Management and Geospatial Information Dissemination, Geospatial Information Agency, Cibinong, West Java, 16911, Indonesia.
Background: The danger of earthquakes poses a serious threat to people worldwide. One of the most significant challenges is preparing communities to cope effectively with this disaster. Therefore, understanding earthquake hazards is critically important for preparedness, mitigation, and an effective response to this threat.
View Article and Find Full Text PDFRisk Anal
March 2025
Department of Civil, Environmental and Geomatic Engineering, University College London, London, UK.
Devastating earthquakes can cause affected households to relocate. Postearthquake relocation disrupts impacted households' social ties and, in some instances, their access to affordable services. Simulation-based approaches that model postearthquake relocation decision-making can be valuable tools for supporting the development of related disaster risk reduction (DRR) policies.
View Article and Find Full Text PDFJ Hazard Mater
March 2025
State Key Laboratory of Hydraulics and Mountain River Engineering, College of Architecture and Environment, Sichuan University, Chengdu 610065, PR China; Yibin Institute of Industrial Technology, Sichuan University Yibin Park, Yibin 644000, PR China; Sichuan University-The Hong Kong Polytechnic University Institute for Disaster Management and Reconstruction, Sichuan University, Chengdu 610065, PR China. Electronic address:
Typical water treatment processes are essential for mitigating the risk of microplastic contamination in drinking water. The integration of experiments and machine learning offers a promising avenue to elucidate microplastic removal behavior, yet relevant studies are scarce. To address this gap, this study combined experimental and artificial neural network (ANN) modeling to explore the removal behavior and mechanisms of five neglected microplastics in typical coagulation-ultrafiltration processes.
View Article and Find Full Text PDFJ Perinat Neonatal Nurs
March 2025
Author Affiliations: Erzincan Binali Yıldırım University, Faculty of Health Sciences, Department of Nursing, Division of Pediatric Nursing, Erzincan, Turkey (Mrs Kasımoğlu and Erzurum Technical University, Faculty of Health Science, Department of Nursing, Erzurum, Turkey (Mrs Gürol).
Objective: This study aimed to explore the relationship between disaster anxiety and prenatal attachment in pregnant women.
Method: A descriptive, cross-sectional design was used with 443 pregnant women recruited between April and August 2023. Data were collected using the Demographic Data Form, Disaster Anxiety Scale, and Prenatal Attachment Inventory.
PLoS One
March 2025
Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, Toronto, Ontario, Canada.
Background: Ontario, being one of Canada's largest provinces, has been central to the high incidence of human Mpox. Research is scarce on how socio-environmental factors influence Mpox incidences. This study seeks to explore potential geographical correlations and the relationship between indicators of social marginalization and Mpox incidence rate in Ontario.
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