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2012年至2021年意大利地方行政单位层面气象因素对西尼罗河病毒发病率短期影响的病例时间序列研究

Case-time series study on the short-term impact of meteorological factors on West Nile Virus incidence in Italy at the local administrative unit level, 2012 to 2021.

作者信息

De Angelis Luigi, Ancona Angela, Moirano Giovenale, Oradini-Alacreu Aurea, Bella Antonino, Fabiani Massimo, Petrone Daniele, Piervitali Emanuela, Perconti Walter, Fraschetti Piero, Settanta Giulio, Del Manso Martina, Fotakis Emmanouil Alexandros, Riccardo Flavia, Rizzo Caterina, Pezzotti Patrizio, Mateo-Urdiales Alberto

机构信息

Department of Infectious Diseases, Istituto Superiore Di Sanità, Rome, Italy; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.

Department of Infectious Diseases, Istituto Superiore Di Sanità, Rome, Italy; School of Public Health, Vita-Salute San Raffaele University, 20132, Milan, Italy.

出版信息

Environ Res. 2025 Jan 1;264(Pt 1):120320. doi: 10.1016/j.envres.2024.120320. Epub 2024 Nov 7.

Abstract

INTRODUCTION

West Nile Virus (WNV) is a significant public health concern in southern Europe, with meteorological, climatic, and environmental factors playing a critical role in its transmission dynamics. This study aims to assess the short-term effects of meteorological variables on the incidence of WNV in five Italian regions in Northern Italy from 2012 to 2021.

METHODS

Linking epidemiological data from the national surveillance system and local meteorological data, we conducted a Case-Time Series analysis to examine the association between WNV incident cases and temperature, humidity, and precipitation recorded up to ten weeks before case occurrence at the local administrative unit level. We employed conditional quasi-Poisson regression and distributed lag non-linear models to explore delayed effects.

RESULTS

Our study analyzed 1110 autochthonous human cases of WNV. We found a positive association between WNV incidence and weekly mean temperature recorded between one to nine weeks before the diagnosis, with the highest effect at one week lag (IRR: 1.16; 95% CI 1.11-1.21). An increase in weekly precipitations between the sixth and ninth weeks before diagnosis was also positively associated with WNV incidence. Variations in minimum weekly humidity did not show a consistent impact.

CONCLUSIONS

Our findings underscore the influence of temperature and, to a lesser extent, precipitation on WNV incidence in Northern Italy, highlighting the potential of climatic data in developing early warning systems for WNV surveillance and public health interventions.

摘要

引言

西尼罗河病毒(WNV)是南欧一个重大的公共卫生问题,气象、气候和环境因素在其传播动态中起着关键作用。本研究旨在评估2012年至2021年期间气象变量对意大利北部五个地区WNV发病率的短期影响。

方法

我们将国家监测系统的流行病学数据与当地气象数据相结合,进行了病例时间序列分析,以研究在地方行政单位层面,病例发生前长达十周记录的WNV病例与温度、湿度和降水之间的关联。我们采用条件准泊松回归和分布滞后非线性模型来探索延迟效应。

结果

我们的研究分析了1110例WNV本土人类病例。我们发现,WNV发病率与诊断前一至九周记录的每周平均温度呈正相关,滞后一周时效应最大(发病率比:1.16;95%置信区间1.11 - 1.21)。诊断前第六至九周每周降水量的增加也与WNV发病率呈正相关。每周最低湿度的变化未显示出一致的影响。

结论

我们的研究结果强调了温度以及在较小程度上降水对意大利北部WNV发病率的影响,突出了气候数据在开发WNV监测预警系统和公共卫生干预措施方面的潜力。

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