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天气变量对西班牙马属动物西尼罗河病毒感染的短期影响:一项时空分层病例交叉设计

Short-term effect of weather variables on West Nile virus infection in Equids in Spain: A space-time stratified case-crossover design.

作者信息

Fonseca-Rodríguez Osvaldo, Pailler-García Lola, Urban Aleš, Cáceres Germán, Napp Sebastián, Busquets Núria

机构信息

IRTA, Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), Bellaterra, Catalonia, Spain; Unitat mixta d'Investigació IRTA-UAB en Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), Bellaterra, Catalonia, Spain.

IRTA, Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), Bellaterra, Catalonia, Spain; Unitat mixta d'Investigació IRTA-UAB en Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), Bellaterra, Catalonia, Spain.

出版信息

Acta Trop. 2025 Apr;264:107602. doi: 10.1016/j.actatropica.2025.107602. Epub 2025 Mar 25.

Abstract

West Nile virus (WNV) is an arthropod-borne virus primarily transmitted by Culex mosquitoes, among birds, but occasionally infecting humans and equids. Understanding environmental factors on the disease occurrence is crucial for planning effective prevention and control strategies. Our study estimates the short-term effects of ambient temperature, relative humidity and precipitation on weekly cases of WNV in equids in Spain, using a space-time stratified case-crossover design. Because WNV transmission occurs sometime after the weather conditions become favorable for the vector, we aimed to estimate the lagged effect of the three weather variables on the incidence of WNV cases in equids. Therefore, we applied a conditional Poisson regression within the framework of lag-distributed models. These models are particularly effective for examining the delayed effects of exposures. The incidence of WNV confirmed cases was associated with temperatures registered within the prior two and eight weeks. The highest incidence was observed at lag four, where the incident rate ratio (IRR) increased to 11.96 (95 % CI: 9.84-50.40) with mean temperature at 33 °C, likewise relative humidity effect peaked also at lag four (IRR=3.99; 95 % CI: 1.43-11.16) at 93 % of relative humidity. On the other hand, the confidence intervals for precipitation were very wide, making it difficult to discern a clear change in the risk of WNV infection associated with total precipitation. This study sheds light on the complex relationships between meteorological variables and the incidence of WNV cases. Considering the zoonotic nature of the disease, these results could provide valuable information for surveillance and early warning of the disease.

摘要

西尼罗河病毒(WNV)是一种节肢动物传播病毒,主要通过库蚊在鸟类中传播,但偶尔也会感染人类和马属动物。了解影响该疾病发生的环境因素对于制定有效的预防和控制策略至关重要。我们的研究采用时空分层病例交叉设计,估计了环境温度、相对湿度和降水量对西班牙马属动物每周WNV病例的短期影响。由于WNV传播在天气条件有利于病媒之后的某个时间发生,我们旨在估计这三个气象变量对马属动物WNV病例发病率的滞后效应。因此,我们在滞后分布模型的框架内应用了条件泊松回归。这些模型对于检验暴露的延迟效应特别有效。WNV确诊病例的发病率与前两周和前八周记录的温度相关。在滞后4周时观察到最高发病率,此时平均温度为33°C,发病率比(IRR)增至11.96(95%CI:9.84 - 50.40);同样,相对湿度效应也在滞后4周时达到峰值(IRR = 3.99;95%CI:1.43 - 11.16),相对湿度为93%。另一方面,降水量的置信区间非常宽,难以辨别与总降水量相关的WNV感染风险的明显变化。本研究揭示了气象变量与WNV病例发病率之间的复杂关系。考虑到该疾病的人畜共患性质,这些结果可为该疾病的监测和早期预警提供有价值的信息。

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