title: Economic conditions predict prevalence of West Nile virus.
abstract: 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.
authors.affiliation: Center for Tropical Research, Institute of the Environment, University of California Los Angeles, Los Angeles, California, United States of America. iluvsa@ucla.edu
authors.forename: Ryan J
authors.initials: RJ
authors.lastname: Harrigan
authors.forename: Henri A
authors.initials: HA
authors.lastname: Thomassen
authors.forename: Wolfgang
authors.initials: W
authors.lastname: Buermann
authors.forename: Robert F
authors.initials: RF
authors.lastname: Cummings
authors.forename: Matthew E
authors.initials: ME
authors.lastname: Kahn
authors.forename: Thomas B
authors.initials: TB
authors.lastname: Smith
mesh_terms: D000465:Algorithms; D000818:Animals; D002140:California / Q000453:epidemiology; D009033:Culicidae / Q000821:virology*; D004777:Environment; D005843:Geography; D006801:Humans; D015994:Incidence; D007303:Insect Vectors / Q000821:virology; D011203:Poverty / Q000706:statistics & numerical data; D015995:Prevalence; D012923:Social Class; D014901:West Nile Fever / Q000453:epidemiology / Q000635:transmission / Q000821:virology*; D014902:West Nile virus / Q000302:isolation & purification*