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对加拿大两个省份环境温度与常见细菌性肠道感染之间关系的时间序列分析。

A time series analysis of the relationship of ambient temperature and common bacterial enteric infections in two Canadian provinces.

作者信息

Fleury Manon, Charron Dominique F, Holt John D, Allen O Brian, Maarouf Abdel R

机构信息

Foodborne, Waterborne and Zoonotic Infections Division, Public Health Agency of Canada, 160 Research Lane, Unit 206, Guelph, Ontario, N1G 5B2, Canada.

出版信息

Int J Biometeorol. 2006 Jul;50(6):385-91. doi: 10.1007/s00484-006-0028-9. Epub 2006 Mar 31.

Abstract

The incidence of enteric infections in the Canadian population varies seasonally, and may be expected to be change in response to global climate changes. To better understand any potential impact of warmer temperature on enteric infections in Canada, we investigated the relationship between ambient temperature and weekly reports of confirmed cases of three pathogens in Canada: Salmonella, pathogenic Escherichia coli and Campylobacter, between 1992 and 2000 in two Canadian provinces. We used generalized linear models (GLMs) and generalized additive models (GAMs) to estimate the effect of seasonal adjustments on the estimated models. We found a strong non-linear association between ambient temperature and the occurrence of all three enteric pathogens in Alberta, Canada, and of Campylobacter in Newfoundland-Labrador. Threshold models were used to quantify the relationship of disease and temperature with thresholds chosen from 0 to -10 degrees C depending on the pathogen modeled. For Alberta, the log relative risk of Salmonella weekly case counts increased by 1.2%, Campylobacter weekly case counts increased by 2.2%, and E. coli weekly case counts increased by 6.0% for every degree increase in weekly mean temperature. For Newfoundland-Labrador the log relative risk increased by 4.5% for Campylobacter for every degree increase in weekly mean temperature.

摘要

加拿大人群中肠道感染的发病率随季节变化,预计会因全球气候变化而改变。为了更好地了解气温升高对加拿大肠道感染的潜在影响,我们调查了1992年至2000年期间加拿大两个省份的环境温度与三种病原体(沙门氏菌、致病性大肠杆菌和弯曲杆菌)确诊病例周报告之间的关系。我们使用广义线性模型(GLMs)和广义相加模型(GAMs)来估计季节性调整对估计模型的影响。我们发现,加拿大艾伯塔省环境温度与所有三种肠道病原体的发生之间,以及纽芬兰-拉布拉多省弯曲杆菌的发生与环境温度之间存在很强的非线性关联。根据所建模的病原体,使用阈值模型来量化疾病与温度之间的关系,阈值范围为0至-10摄氏度。在艾伯塔省,每周平均温度每升高1摄氏度,沙门氏菌每周病例数的对数相对风险增加1.2%,弯曲杆菌每周病例数的对数相对风险增加2.2%,大肠杆菌每周病例数的对数相对风险增加6.0%。在纽芬兰-拉布拉多省,弯曲杆菌每周病例数的对数相对风险在每周平均温度每升高1摄氏度时增加4.5%。

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