Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/22519
Title: Determinants of the lethality of climate-related disasters in the Caribbean Community (CARICOM): a cross-country analysis
Authors: ANDREWIN, Aisha 
Rodriguez-Llanes, Jose M.
Guha-Sapir, Debarati
Issue Date: 2015
Source: Scientific Reports, 5 (Art N° 11972)
Abstract: Floods and storms are climate-related hazards posing high mortality risk to Caribbean Community (CARICOM) nations. However risk factors for their lethality remain untested. We conducted an ecological study investigating risk factors for ood and storm lethality in CARICOM nations for the period 1980–2012. Lethality - deaths versus no deaths per disaster event- was the outcome. We examined biophysical and social vulnerability proxies and a decadal e ect as predictors. We developed our regression model via multivariate analysis using a generalized logistic regression model with quasi-binomial distribution; removal of multi-collinear variables and backward elimination. Robustness was checked through subset analysis. We found signi cant positive associations between lethality, percentage of total land dedicated to agriculture (odds ratio [OR] 1.032; 95% CI: 1.013–1.053) and percentage urban population (OR 1.029, 95% CI 1.003–1.057). Deaths were more likely in the 2000–2012 period versus 1980–1989 (OR 3.708, 95% CI 1.615–8.737). Robustness checks revealed similar coe cients and directions of association. Population health in CARICOM nations is being increasingly impacted by climate-related disasters connected to increasing urbanization and land use patterns. Our ndings support the evidence base for setting sustainable development goals (SDG).
Document URI: http://hdl.handle.net/1942/22519
ISSN: 2045-2322
e-ISSN: 2045-2322
DOI: 10.1038/srep11972
ISI #: 000357600100001
Rights: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Category: A1
Type: Journal Contribution
Validations: ecoom 2017
Appears in Collections:Research publications

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