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Unpacking Long-term Disaster Recovery Processes: A Case Study of the Healthcare System in Montserrat, West Indies

Sword-Daniels, VL; Twigg, J; Rossetto, T; Johnston, DM; (2016) Unpacking Long-term Disaster Recovery Processes: A Case Study of the Healthcare System in Montserrat, West Indies. International Journal of Mass Emergencies and Disasters , 34 (1) pp. 113-142. Green open access

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Abstract

Long-term disaster recovery processes are poorly understood, yet there is a growing imperative to improve knowledge of their complexity and timeframes to inform policy and post-disaster decision-making. This empirical study explores post-disaster change and recovery processes for the healthcare system on the island of Montserrat, West Indies. Taking a systems approach, we adopt a qualitative case study methodology to explore post-disaster changes over an extended timeframe (1995-2012). We identify many different aspects of change, which lends a new perspective on post-disaster change types for complex systems, and an alternative classification for analysis of their recovery. Recovery of the healthcare system is ongoing. We find that recovery is not a uniform process. Different elements of the system show signs of recovery at different times. This exploratory study documents the complex and long-term nature of disaster recovery in this context, which brings new understanding of change and recovery processes and raises important considerations for future studies.

Type: Article
Title: Unpacking Long-term Disaster Recovery Processes: A Case Study of the Healthcare System in Montserrat, West Indies
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.ijmed.org/articles/694/
Language: English
Keywords: relocation, recovery, healthcare, complex systems, Soufriere Hills Volcano
UCL classification: UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Maths and Physical Sciences
UCL > School of BEAMS > Faculty of Maths and Physical Sciences > Institute for Risk and Disaster Reduction
URI: http://discovery.ucl.ac.uk/id/eprint/1495937
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