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Economic Conditions Predict Prevalence of West Nile Virus

Understanding the conditions underlying the proliferation of infectious diseases is crucial for mitigating future outbreaks. Since its arrival in North America in 1999, West Nile virus (WNV) has led to population-wide declines of bird species, morbidity and mortality of humans, and expenditures of m...

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Autores principales: Harrigan, Ryan J., Thomassen, Henri A., Buermann, Wolfgang, Cummings, Robert F., Kahn, Matthew E., Smith, Thomas B.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2980475/
https://www.ncbi.nlm.nih.gov/pubmed/21103053
http://dx.doi.org/10.1371/journal.pone.0015437
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author Harrigan, Ryan J.
Thomassen, Henri A.
Buermann, Wolfgang
Cummings, Robert F.
Kahn, Matthew E.
Smith, Thomas B.
author_facet Harrigan, Ryan J.
Thomassen, Henri A.
Buermann, Wolfgang
Cummings, Robert F.
Kahn, Matthew E.
Smith, Thomas B.
author_sort Harrigan, Ryan J.
collection PubMed
description Understanding the conditions underlying the proliferation of infectious diseases is crucial for mitigating future outbreaks. Since its arrival in North America in 1999, West Nile virus (WNV) has led to population-wide declines of bird species, morbidity and mortality of humans, and expenditures of millions of dollars on treatment and control. To understand the environmental conditions that best explain and predict WNV prevalence, we employed recently developed spatial modeling techniques in a recognized WNV hotspot, Orange County, California. Our models explained 85–95% of the variation of WNV prevalence in mosquito vectors, and WNV presence in secondary human hosts. Prevalence in both vectors and humans was best explained by economic variables, specifically per capita income, and by anthropogenic characteristics of the environment, particularly human population and neglected swimming pool density. While previous studies have shown associations between anthropogenic change and pathogen presence, results show that poorer economic conditions may act as a direct surrogate for environmental characteristics related to WNV prevalence. Low-income areas may be associated with higher prevalence for a number of reasons, including variations in property upkeep, microhabitat conditions conducive to viral amplification in both vectors and hosts, host community composition, and human behavioral responses related to differences in education or political participation. Results emphasize the importance and utility of including economic variables in mapping spatial risk assessments of disease.
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spelling pubmed-29804752010-11-22 Economic Conditions Predict Prevalence of West Nile Virus Harrigan, Ryan J. Thomassen, Henri A. Buermann, Wolfgang Cummings, Robert F. Kahn, Matthew E. Smith, Thomas B. PLoS One Research Article Understanding the conditions underlying the proliferation of infectious diseases is crucial for mitigating future outbreaks. Since its arrival in North America in 1999, West Nile virus (WNV) has led to population-wide declines of bird species, morbidity and mortality of humans, and expenditures of millions of dollars on treatment and control. To understand the environmental conditions that best explain and predict WNV prevalence, we employed recently developed spatial modeling techniques in a recognized WNV hotspot, Orange County, California. Our models explained 85–95% of the variation of WNV prevalence in mosquito vectors, and WNV presence in secondary human hosts. Prevalence in both vectors and humans was best explained by economic variables, specifically per capita income, and by anthropogenic characteristics of the environment, particularly human population and neglected swimming pool density. While previous studies have shown associations between anthropogenic change and pathogen presence, results show that poorer economic conditions may act as a direct surrogate for environmental characteristics related to WNV prevalence. Low-income areas may be associated with higher prevalence for a number of reasons, including variations in property upkeep, microhabitat conditions conducive to viral amplification in both vectors and hosts, host community composition, and human behavioral responses related to differences in education or political participation. Results emphasize the importance and utility of including economic variables in mapping spatial risk assessments of disease. Public Library of Science 2010-11-12 /pmc/articles/PMC2980475/ /pubmed/21103053 http://dx.doi.org/10.1371/journal.pone.0015437 Text en Harrigan et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Harrigan, Ryan J.
Thomassen, Henri A.
Buermann, Wolfgang
Cummings, Robert F.
Kahn, Matthew E.
Smith, Thomas B.
Economic Conditions Predict Prevalence of West Nile Virus
title Economic Conditions Predict Prevalence of West Nile Virus
title_full Economic Conditions Predict Prevalence of West Nile Virus
title_fullStr Economic Conditions Predict Prevalence of West Nile Virus
title_full_unstemmed Economic Conditions Predict Prevalence of West Nile Virus
title_short Economic Conditions Predict Prevalence of West Nile Virus
title_sort economic conditions predict prevalence of west nile virus
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2980475/
https://www.ncbi.nlm.nih.gov/pubmed/21103053
http://dx.doi.org/10.1371/journal.pone.0015437
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