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经济状况可预测西尼罗河病毒的流行情况。

Economic conditions predict prevalence of West Nile virus.

机构信息

Center for Tropical Research, Institute of the Environment, University of California Los Angeles, Los Angeles, California, United States of America.

出版信息

PLoS One. 2010 Nov 12;5(11):e15437. doi: 10.1371/journal.pone.0015437.

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.

摘要

了解传染病扩散的根本条件对于减轻未来疫情爆发至关重要。自 1999 年在北美出现以来,西尼罗河病毒(WNV)导致鸟类物种数量下降、人类发病率和死亡率上升,以及在治疗和控制方面花费了数百万美元。为了了解能够最好地解释和预测 WNV 流行率的环境条件,我们在加利福尼亚州奥兰治县这个公认的 WNV 热点地区使用了最近开发的空间建模技术。我们的模型解释了蚊子传播媒介中 85-95%的 WNV 流行率变化,以及在次要人类宿主中 WNV 的存在。在这两个媒介和人类中,流行率最好地由经济变量解释,特别是人均收入,以及人为环境特征,特别是人口和被忽视的游泳池密度。虽然先前的研究表明了人为变化与病原体存在之间的关联,但结果表明,较差的经济条件可能直接代表与 WNV 流行率相关的环境特征。低收入地区可能由于多种原因与更高的流行率相关,包括物业维护方面的差异、有利于病毒在媒介和宿主中扩增的微生境条件、宿主群落组成以及与教育或政治参与差异相关的人类行为反应。结果强调了在绘制疾病空间风险评估图时纳入经济变量的重要性和实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddcb/2980475/0d631a95be6c/pone.0015437.g001.jpg

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