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Spatial and space-time clustering and demographic characteristics of human nontyphoidal Salmonella infections with major serotypes in Toronto, Canada.
PLOS ONE ( IF 2.9 ) Pub Date : 2020-07-01 , DOI: 10.1371/journal.pone.0235291
Csaba Varga 1, 2 , Patience John 2 , Martin Cooke 2, 3 , Shannon E Majowicz 2
Affiliation  

Nontyphoidal Salmonella enterica (NTS) causes a substantial health burden to human populations in Canada and worldwide. Exposure sources and demographic factors vary by location and can therefore have a major impact on salmonellosis clustering. We evaluated major NTS serotypes: S. Enteritidis (n = 620), S. Typhimurium (n = 150), S. Thompson (n = 138), and S. Heidelberg (n = 136) reported in the city of Toronto, Canada, between January 1, 2015, and December 31, 2017. Cases were analyzed at the forward sortation area (FSA)—level (an area indicated by the first three characters of the postal code). Serotype-specific global and local clustering of infections were evaluated using the Moran's I method. Spatial and space-time clusters were investigated using Poisson and multinomial scan statistic models. Case-case analyses using a multinomial logistic regression model was conducted to compare seasonal and demographic factors among the different serotypes. High infection rate FSAs clustered in the central region of Toronto for S. Enteritidis, in the south-central region for S. Typhimurium, in north-west region for S. Thompson, and in the south-east region for S. Heidelberg. The relative risk ratio of S. Enteritidis infections was significantly higher in cases who reported travel outside of Ontario. The relative risk ratio of infections was significantly higher in summer for S. Typhimurium, and in fall for S. Thompson. The relative risk ratio of infection was highest for the 0–9 age group for S. Typhimurium, and the 20–39 age group for S. Heidelberg. Our study will aid public health stakeholders in designing serotype-specific geographically targeted disease prevention programs.



中文翻译:

在加拿大多伦多,主要血清型的人类非伤寒沙门氏菌感染的时空聚集和人口统计学特征。

伤寒性肠炎沙门氏菌(NTS)给加拿大乃至全世界的人们造成了巨大的健康负担。暴露源和人口统计因素因位置而异,因此可能对沙门氏菌聚集产生重大影响。我们评估了主要的NTS血清型:S。肠炎(n = 620),S。鼠伤寒(n = 150),S。汤普森(n = 138)和S。海德堡(n = 136)在2015年1月1日至2017年12月31日期间在加拿大多伦多市进行了报道。对病例进行了正向分拣区(FSA)级别(该区域的前三个字符表示)邮政编码)。使用Moran's I方法评估感染的血清型特异性整体和局部聚类。使用泊松和多项式扫描统计模型研究了时空聚类。使用多项逻辑回归模型进行案例分析,以比较不同血清型之间的季节和人口统计学因素。在多伦多的中心区聚集的高感染率FSA的小号。肠炎,在中南部地区小号。鼠伤寒,在西北地区为S。汤普森,并在东南区小号。海德堡。S的相对风险比。在安大略省以外旅行的人中肠炎的感染率要高得多。夏季S感染的相对风险比明显更高。鼠伤寒沙门氏菌,并在秋天小号。汤普森 0〜9岁年龄组的S感染相对危险度最高。鼠伤寒和S的20-39岁年龄段。海德堡。我们的研究将帮助公共卫生利益相关者设计针对血清型的特定地理区域性疾病预防计划。

更新日期:2020-07-01
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