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PLoS One. 2015 Sep 1;10(9):e0137208. doi: 10.1371/journal.pone.0137208. eCollection 2015.

Social Vulnerability and Ebola Virus Disease in Rural Liberia.

Author information

1
Center for Forest Disturbance Science, U.S. Forest Service, Athens, Georgia, United States of America.
2
Center for Bottomland Hardwoods Research, U.S. Forest Service, Oxford, Mississippi, United States of America.
3
Goods, Services and Values Program, U.S. Forest Service, Portland, Oregon, United States of America.

Abstract

The Ebola virus disease (EVD) epidemic that has stricken thousands of people in the three West African countries of Liberia, Sierra Leone, and Guinea highlights the lack of adaptive capacity in post-conflict countries. The scarcity of health services in particular renders these populations vulnerable to multiple interacting stressors including food insecurity, climate change, and the cascading effects of disease epidemics such as EVD. However, the spatial distribution of vulnerable rural populations and the individual stressors contributing to their vulnerability are unknown. We developed a Social Vulnerability Classification using census indicators and mapped it at the district scale for Liberia. According to the Classification, we estimate that districts having the highest social vulnerability lie in the north and west of Liberia in Lofa, Bong, Grand Cape Mount, and Bomi Counties. Three of these counties together with the capital Monrovia and surrounding Montserrado and Margibi counties experienced the highest levels of EVD infections in Liberia. Vulnerability has multiple dimensions and a classification developed from multiple variables provides a more holistic view of vulnerability than single indicators such as food insecurity or scarcity of health care facilities. Few rural Liberians are food secure and many cannot reach a medical clinic in <80 minutes. Our results illustrate how census and household survey data, when displayed spatially at a sub-county level, may help highlight the location of the most vulnerable households and populations. Our results can be used to identify vulnerability hotspots where development strategies and allocation of resources to address the underlying causes of vulnerability in Liberia may be warranted. We demonstrate how social vulnerability index approaches can be applied in the context of disease outbreaks, and our methods are relevant elsewhere.

PMID:
26325519
PMCID:
PMC4556488
DOI:
10.1371/journal.pone.0137208
[Indexed for MEDLINE]
Free PMC Article

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