Long-term trends and spatial patterns of West Nile Virus emergence in California, 2004–2021

IF 2.4 2区 农林科学 Q3 INFECTIOUS DISEASES Zoonoses and Public Health Pub Date : 2023-12-18 DOI:10.1111/zph.13106
Brett R. Bayles, Michaela F. George, Rebecca C. Christofferson
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Abstract

Aims

West Nile Virus (WNV) has remained a persistent source of vector-borne disease risk in California since first being identified in the state in 2003. The geographic distribution of WNV activity is relatively widespread, but varies considerably across different regions within the state. Spatial variation in human WNV infection depends upon social-ecological factors that influence mosquito populations and virus transmission dynamics. Measuring changes in spatial patterns over time is necessary for uncovering the underlying regional drivers of disease risk.

Methods and Results

In this study, we utilized statewide surveillance data to quantify temporal changes and spatial patterns of WNV activity in California. We obtained annual WNV mosquito surveillance data from 2004 through 2021 from the California Arbovirus Surveillance Program. Geographic coordinates for mosquito pools were analysed using a suite of spatial statistics to identify and classify patterns in WNV activity over time.

Conclusions

We detected clear patterns of non-random WNV risk during the study period, including emerging hot spots in the Central Valley and non-random periods of oscillating WNV risk in Southern and Northern California subregions. Our findings offer new insights into 18 years of spatio-temporal variation in WNV activity across California, which may be used for targeted surveillance efforts and public health interventions.

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2004-2021 年加利福尼亚州西尼罗河病毒出现的长期趋势和空间模式。
目的:自 2003 年首次在加利福尼亚州发现西尼罗河病毒 (WNV) 以来,该病毒一直是该州病媒传播疾病的风险源。西尼罗河病毒活动的地理分布相对广泛,但在州内不同地区的分布差异很大。人类 WNV 感染的空间变化取决于影响蚊子种群和病毒传播动态的社会生态因素。要揭示疾病风险的潜在区域驱动因素,就必须测量空间模式随时间的变化:在这项研究中,我们利用全州监测数据来量化加利福尼亚州 WNV 活动的时间变化和空间模式。我们从加州虫媒病毒监测计划(California Arbovirus Surveillance Program)获得了 2004 年至 2021 年的年度 WNV 蚊虫监测数据。我们使用一套空间统计方法对蚊群的地理坐标进行了分析,以确定 WNV 随时间变化的活动模式并对其进行分类:我们在研究期间发现了明显的非随机 WNV 风险模式,包括中央山谷新出现的热点以及南加州和北加州次区域非随机的 WNV 风险振荡期。我们的研究结果为了解加州 18 年来的 WNV 活动时空变化提供了新的视角,可用于有针对性的监测工作和公共卫生干预措施。
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来源期刊
Zoonoses and Public Health
Zoonoses and Public Health 医学-传染病学
CiteScore
5.30
自引率
4.20%
发文量
115
审稿时长
6-12 weeks
期刊介绍: Zoonoses and Public Health brings together veterinary and human health researchers and policy-makers by providing a venue for publishing integrated and global approaches to zoonoses and public health. The Editors will consider papers that focus on timely collaborative and multi-disciplinary research in zoonoses and public health. This journal provides rapid publication of original papers, reviews, and potential discussion papers embracing this collaborative spirit. Papers should advance the scientific knowledge of the sources, transmission, prevention and control of zoonoses and be authored by scientists with expertise in areas such as microbiology, virology, parasitology and epidemiology. Articles that incorporate recent data into new methods, applications, or approaches (e.g. statistical modeling) which enhance public health are strongly encouraged.
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