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2
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Vector Borne Zoonotic Dis. 2019 Jul;19(7):533-539. doi: 10.1089/vbz.2018.2366. Epub 2019 Jan 22.
3
Spatiotemporal Bayesian modeling of West Nile virus: Identifying risk of infection in mosquitoes with local-scale predictors.西尼罗河病毒的时空贝叶斯建模:利用局地尺度预测因子确定蚊子感染的风险。
Sci Total Environ. 2019 Feb 10;650(Pt 2):2818-2829. doi: 10.1016/j.scitotenv.2018.09.397. Epub 2018 Oct 2.
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Emerging arboviruses in Quebec, Canada: assessing public health risk by serology in humans, horses and pet dogs.加拿大魁北克省新出现的虫媒病毒:通过对人类、马匹和宠物狗进行血清学检测评估公共卫生风险
Epidemiol Infect. 2017 Oct;145(14):2940-2948. doi: 10.1017/S0950268817002205. Epub 2017 Sep 28.
5
Characterizing environmental risk factors for West Nile virus in Quebec, Canada, using clinical data in humans and serology in pet dogs.利用人类临床数据和宠物狗血清学特征,确定加拿大魁北克省西尼罗河病毒的环境风险因素。
Epidemiol Infect. 2017 Oct;145(13):2797-2807. doi: 10.1017/S0950268817001625. Epub 2017 Aug 24.
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Emerg Microbes Infect. 2015 Jun 10;4(6):e33. doi: 10.1038/emi.2015.33.
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能否根据以往病例预测西尼罗河病毒感染的局部风险?2011-2016 年魁北克的描述性研究。

Can local risk of West Nile virus infection be predicted from previous cases? A descriptive study in Quebec, 2011-2016.

机构信息

Groupe de recherche en épidémiologie des zoonoses et santé publique, Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe, Québec, Canada.

Département de santé animale, Cégep de Saint-Hyacinthe, Saint-Hyacinthe, Québec, Canada.

出版信息

Can J Public Health. 2020 Apr;111(2):229-238. doi: 10.17269/s41997-019-00279-0. Epub 2020 Feb 4.

DOI:10.17269/s41997-019-00279-0
PMID:32020540
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7109227/
Abstract

OBJECTIVES

This study aimed at (1) describing the local risk of West Nile virus (WNV) infection in humans based on previous case reports and (2) investigating the spatial clustering of cases in the five most affected administrative regions of Quebec, Canada, for the 2011-2016 period.

METHODS

Human WNV cases declared to the Ministry of Health and Social Services of Quebec (Ministère de la santé et des services sociaux, MSSS) were retrieved. Incidence risk by age and sex was calculated for the study period. The yearly and monthly occurrence of cases in geographical units (GUs) was described and the probability of observing cases in a GU with cases reported in the previous year or month was assessed. Moran's I was used to assess global clustering across the study area. Spatial clusters were identified by the Kulldorff scan statistic.

RESULTS

A total of 261 WNV cases were declared to the MSSS between 2011 and 2016 in the study area. Overall, a low percentage of GU with cases reported had additional cases reported over the next month or year. Global spatial clustering was weak but statistically significant (p < 0.05) for 2012 and 2015. For these two years, spatial clusters of high-risk GUs were identified.

CONCLUSION

Results underline the challenge of predicting the distribution of WNV incidence risk in Quebec based on previous occurrence of human cases. Ongoing research with high spatial resolution entomological data is still necessary to understand the spatial distribution of risk at a local scale.

摘要

目的

本研究旨在:(1) 根据以往的病例报告,描述人类感染西尼罗河病毒 (WNV) 的局部风险;(2) 调查加拿大魁北克五个受影响最严重的行政区域在 2011-2016 年期间病例的空间聚集情况。

方法

检索向魁北克省卫生和社会服务部 (Ministère de la santé et des services sociaux, MSSS) 报告的人类 WNV 病例。计算了研究期间按年龄和性别划分的发病率风险。描述了地理单元 (GU) 中每年和每月的病例发生情况,并评估了在 GU 中观察到病例的可能性,该 GU 中报告了前一年或前一个月的病例。Moran's I 用于评估研究区域内的全局聚类。通过 Kulldorff 扫描统计识别空间聚类。

结果

2011 年至 2016 年期间,共有 261 例 WNV 病例向 MSSS 报告。总体而言,报告病例的 GU 中只有一小部分在下一个月或下一年报告了额外的病例。全球空间聚类虽然较弱,但在统计学上是显著的(p<0.05),分别在 2012 年和 2015 年。对于这两年,确定了高危 GU 的空间聚类。

结论

结果强调了根据以往人类病例的发生情况预测魁北克 WNV 发病率风险分布的挑战。仍需要进行具有高空间分辨率的昆虫学数据的持续研究,以了解当地风险的空间分布。