Unveiling spatial patterns of West Nile virus emergence in northern Greece, 2010–2023

IF 4.1 2区 医学 Q1 INFECTIOUS DISEASES One Health Pub Date : 2024-09-05 DOI:10.1016/j.onehlt.2024.100888
Anastasia Angelou , Lea Schuh , Nikolaos I. Stilianakis , Spiros Mourelatos , Ioannis Kioutsioukis
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Abstract

The Region of Central Macedonia (RCM) in Northern Greece recorded the highest number of human West Nile virus (WNV) infections in Greece, despite considerable local mosquito control actions. We examined spatial patterns and associations of mosquito levels, infected mosquito levels, and WNV human cases (WNVhc) across the municipalities of this region over the period 2010–2023 and linked it with climatic characteristics. We combined novel entomological and available epidemiological and climate data for the RCM, aggregated at the municipality level and used Local and Global Moran's I index to assess spatial associations of mosquito levels, infected mosquito levels, and WNVhc. We identified areas with strong interdependencies between adjacent municipalities in the Western part of the region. Furthermore, we employed a Generalized Linear Mixed Model to first, identify the factors driving the observed levels of mosquitoes, infected mosquitoes and WNVhc and second, estimate the influence of climatic features on the observed levels. This modeling approach indicates a strong dependence of the mosquito levels on the temperatures in winter and spring and the total precipitation in early spring, while virus circulation relies on the temperatures of late spring and summer. Our findings highlight the significant influence of climatic factors on mosquito populations (∼60 % explained variance) and the incidence of WNV human cases (∼40 % explained variance), while the unexplained ∼40 % of the variance suggests that targeted interventions and enhanced surveillance in identified hot-spots can enhance public health response.

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揭示 2010-2023 年希腊北部西尼罗河病毒出现的空间模式
希腊北部的中马其顿地区(RCM)是希腊人感染西尼罗河病毒(WNV)人数最多的地区,尽管当地采取了大量灭蚊行动。我们研究了 2010-2023 年期间该地区各市蚊子数量、受感染蚊子数量和人类西尼罗河病毒感染病例(WNVhc)的空间模式和关联,并将其与气候特征联系起来。我们将区域协调机制的新昆虫学数据与现有流行病学和气候数据相结合,在市镇一级进行汇总,并使用本地和全球莫兰 I 指数来评估蚊子数量、受感染蚊子数量和 WNVhc 的空间关联。我们确定了该地区西部相邻市镇之间相互依赖性较强的区域。此外,我们采用了广义线性混合模型,首先确定了蚊子、受感染蚊子和 WNVhc 水平的驱动因素,其次估计了气候特征对观察到的水平的影响。这种建模方法表明,蚊子数量与冬春的气温和早春的总降水量有很大关系,而病毒循环则依赖于春末和夏季的气温。我们的研究结果突显了气候因素对蚊子数量(60%的解释方差)和人类 WNV 病例发生率(40%的解释方差)的重要影响,而 40%的未解释方差表明,在已确定的热点地区采取有针对性的干预措施和加强监测可以提高公共卫生应对能力。
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来源期刊
One Health
One Health Medicine-Infectious Diseases
CiteScore
8.10
自引率
4.00%
发文量
95
审稿时长
18 weeks
期刊介绍: One Health - a Gold Open Access journal. The mission of One Health is to provide a platform for rapid communication of high quality scientific knowledge on inter- and intra-species pathogen transmission, bringing together leading experts in virology, bacteriology, parasitology, mycology, vectors and vector-borne diseases, tropical health, veterinary sciences, pathology, immunology, food safety, mathematical modelling, epidemiology, public health research and emergency preparedness. As a Gold Open Access journal, a fee is payable on acceptance of the paper. Please see the Guide for Authors for more information. Submissions to the following categories are welcome: Virology, Bacteriology, Parasitology, Mycology, Vectors and vector-borne diseases, Co-infections and co-morbidities, Disease spatial surveillance, Modelling, Tropical Health, Discovery, Ecosystem Health, Public Health.
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