Development of an Integrated Pathways Model of Factors Influencing the Progress of Recovery After a Disaster.

disaster recovery factors influencing disaster recovery integrated pathways model of disaster recovery

Journal

Asia-Pacific journal of public health
ISSN: 1941-2479
Titre abrégé: Asia Pac J Public Health
Pays: China
ID NLM: 8708538

Informations de publication

Date de publication:
07 2020
Historique:
pubmed: 2 7 2020
medline: 9 10 2020
entrez: 2 7 2020
Statut: ppublish

Résumé

Disaster recovery is a complex and multidimensional process that is affected by the physical environment, social and economic conditions, and institutional strength and integrity. However, there is a lack of understanding as to why some communities recover quicker than others after experiencing the same disaster event. What are the critical factors needed for optimal disaster recovery and what factors predispose communities or individuals to poor disaster recovery? This article presents a literature-generated integrated pathways model of disaster recovery. A systematic search of the peer-reviewed literature identified 54 peer-reviewed publications that met our search criteria. The thematic content analysis of that literature revealed 14 factors that affected disaster recovery, which were clustered into 4 domains (social, physical/environmental, economic, and institutional/procedural). The integrated pathways model was developed to accommodate all of the domains and factors identified in the reviewed literature and the mediation and impact pathways that they influence. Using a combination of qualitative and quantitative data collected after the 2015 Nepal earthquake, the authors will examine and verify the interaction between domains and variables to identify those elements that are found in the most recovered and least recovered communities. The aim will be to modify and refine the model and enhance the understanding of the interaction between variables and to produce a data-driven model in order to better understand the factors that impede or enhance disaster recovery.

Identifiants

pubmed: 32608241
doi: 10.1177/1010539520935386
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

226-234

Auteurs

Sailesh Bhattarai (S)

Bisheshwor Prasad Koirala Institute of Health Sciences, Dharan, Nepal.

Bruce Maycock (B)

Curtin University, Perth, Western Australia, Australia.

Helman Alfonso (H)

Curtin University, Perth, Western Australia, Australia.

Alison Reid (A)

Curtin University, Perth, Western Australia, Australia.

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Classifications MeSH