Rocheleau J P, Michel P, Lindsay L R, Drebot M, Dibernardo A, Ogden N H, Fortin A, Arsenault J
Groupe de recherche en épidémiologie des zoonoses et santé publique, Faculté de médecine vétérinaire,Université de Montréal,Saint-Hyacinthe,Québec,Canada.
National Microbiology Laboratory, Public Health Agency of Canada,Winnipeg,Manitoba,Canada.
Epidemiol Infect. 2017 Oct;145(13):2797-2807. doi: 10.1017/S0950268817001625. Epub 2017 Aug 24.
The identification of specific environments sustaining emerging arbovirus amplification and transmission to humans is a key component of public health intervention planning. This study aimed at identifying environmental factors associated with West Nile virus (WNV) infections in southern Quebec, Canada, by modelling and jointly interpreting aggregated clinical data in humans and serological data in pet dogs. Environmental risk factors were estimated in humans by negative binomial regression based on a dataset of 191 human WNV clinical cases reported in the study area between 2011 and 2014. Risk factors for infection in dogs were evaluated by logistic and negative binomial models based on a dataset including WNV serological results from 1442 dogs sampled from the same geographical area in 2013. Forested lands were identified as low-risk environments in humans. Agricultural lands represented higher risk environments for dogs. Environments identified as impacting risk in the current study were somewhat different from those identified in other studies conducted in north-eastern USA, which reported higher risk in suburban environments. In the context of the current study, combining human and animal data allowed a more comprehensive and possibly a more accurate view of environmental WNV risk factors to be obtained than by studying aggregated human data alone.
确定支持新兴虫媒病毒扩增并传播给人类的特定环境,是公共卫生干预规划的关键组成部分。本研究旨在通过对人类汇总临床数据和宠物狗血清学数据进行建模并联合解读,确定加拿大魁北克南部与西尼罗河病毒(WNV)感染相关的环境因素。基于2011年至2014年研究区域报告的191例人类WNV临床病例数据集,通过负二项回归估计人类的环境风险因素。基于一个包含2013年从同一地理区域采集的1442只狗的WNV血清学结果的数据集,通过逻辑模型和负二项模型评估狗感染的风险因素。林地被确定为人类的低风险环境。农田是狗的高风险环境。本研究中确定的影响风险的环境与美国东北部其他研究中确定的环境有所不同,后者报告郊区环境风险更高。在本研究背景下,与仅研究汇总的人类数据相比,结合人类和动物数据能够更全面、可能也更准确地了解环境WNV风险因素。