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Published in: Population and Environment 4/2019

25-04-2019 | Original Paper

Disaster vulnerability, displacement, and infectious disease: Nicaragua and Hurricane Mitch

Authors: Peter Loebach, Kim Korinek

Published in: Population and Environment | Issue 4/2019

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Abstract

Research conducted among socially vulnerable populations caught in the paths of natural disasters represents the forefront of our understanding the health-related impacts of climate change. In this study, we analyze individual-level longitudinal data from the Nicaragua Living Standards and Measurement Survey (N = 3474) in order to ascertain the influence of disaster displacement arising from the Hurricane Mitch event upon two communicable disease outcomes: diarrheal disease and respiratory disease. First, multinomial logistic regression analyses demonstrate that individuals from households headed by women, as well as from households with low levels of consumption expenditures, experienced greater odds of displacement to shelters in the aftermath of Mitch. Second, two-way fixed-effects regression analysis demonstrates that shelter displacement acts as independent risk increasing the odds of respiratory disease, net of socioeconomic and demographic covariates. Our findings draw attention to the confluence of far-reaching entrenched social and economic disparities that create linked disaster displacement and communicable disease vulnerabilities.

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Footnotes
1
INEC does not provide detail on the methodology used to distinguish “heavily affected” municipalities.
 
2
The low prevalence of measles in the sample prohibits multivariate modeling of this health outcome.
 
3
Price variation in consumption costs across geographic areas are accounted for through use of an adjustment according to a price quotation calculated at the level the municipality (ECLAC 1999).
 
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Metadata
Title
Disaster vulnerability, displacement, and infectious disease: Nicaragua and Hurricane Mitch
Authors
Peter Loebach
Kim Korinek
Publication date
25-04-2019
Publisher
Springer Netherlands
Published in
Population and Environment / Issue 4/2019
Print ISSN: 0199-0039
Electronic ISSN: 1573-7810
DOI
https://doi.org/10.1007/s11111-019-00319-4

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