Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO-Piemonte, Torino Via Santena 7, 10126, Italy.
Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
Environ Res. 2018 Nov;167:544-549. doi: 10.1016/j.envres.2018.08.016. Epub 2018 Aug 18.
Changes in climatic conditions are hypothesized to play a role in the increasing number of West Nile Virus (WNV) outbreaks observed in Europe in recent years.
We aimed to investigate the association between WNV infection and climatic parameters recorded in the 8 weeks before the diagnosis in Northern Italy.
We collected epidemiological data about new infected cases for the period 2010-2015 from the European Center for Disease Control and Prevention (ECDC) and meteorological data from 25 stations throughout the study area. Analyses were performed using a conditional Poisson regression with a time-stratified case-crossover design, specifically modified to account for seasonal variations. Exposures included weekly average of maximum temperatures, weekly average of mean temperatures, weekly average of minimum temperatures and weekly total precipitation.
We found an association between incidence of WNV infection and temperatures recorded 5-6 weeks before diagnosis (Incidence Rate Ratio (IRR) for 1 °C increase in maximum temperatures at lag 6: 1.11; 95% CI 1.01-1.20). Increased weekly total precipitation, recorded 1-4 weeks before diagnosis, were associated with higher incidence of WNV infection, particularly for precipitation recorded 2 weeks before diagnosis (IRR for 5 mm increase of cumulative precipitation at lag 2: 1.16; 95% CI 1.08-1.25).
Increased precipitation and temperatures might have a lagged direct effect on the incidence of WNV infection. Climatic parameters may be useful for detecting areas and periods of the year potentially characterized by a higher incidence of WNV infection.
气候变化被认为在近年来欧洲不断增加的西尼罗河病毒(WNV)疫情中发挥了作用。
我们旨在研究意大利北部在诊断前 8 周记录的气候参数与 WNV 感染之间的关联。
我们从欧洲疾病预防控制中心(ECDC)收集了 2010-2015 年期间新感染病例的流行病学数据,并从研究区域的 25 个站点收集了气象数据。分析采用条件泊松回归和时间分层病例交叉设计进行,专门针对季节性变化进行了修正。暴露因素包括每周平均最高温度、每周平均平均温度、每周平均最低温度和每周总降水量。
我们发现 WNV 感染的发生率与诊断前 5-6 周记录的温度之间存在关联(滞后 6 周最大温度每升高 1°C 的发病率比(IRR):1.11;95%置信区间 1.01-1.20)。诊断前 1-4 周记录的每周总降水量增加与 WNV 感染发生率较高有关,尤其是在诊断前 2 周记录的降水量(滞后 2 周累计降水量每增加 5mm 的发病率比(IRR):1.16;95%置信区间 1.08-1.25)。
增加的降水和温度可能对 WNV 感染的发生率有滞后的直接影响。气候参数可用于检测可能具有更高 WNV 感染发生率的地区和时间段。