Gonorrhea cluster detection in Manitoba, Canada: Spatial, temporal, and spatio-temporal analysis

IF 8.8 3区 医学 Q1 Medicine Infectious Disease Modelling Pub Date : 2024-05-31 DOI:10.1016/j.idm.2024.05.009
Amin Abed , Mahmoud Torabi , Zeinab Mashreghi
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Abstract

In Canada, Gonorrhea infection ranks as the second most prevalent sexually transmitted infection. In 2018, Manitoba reported an incidence rate three times greater than the national average. This study aims to investigate the spatial, temporal, and spatio-temporal patterns of Gonorrhea infection in Manitoba, using individual-level laboratory-confirmed administrative data provided by Manitoba Health from 2000 to 2016. Age and sex patterns indicate that females are affected by infections at younger ages compared to males. Moreover, there is an increase in repeated infections in 2016, accounting for 16% of the total infections. Spatial analysis at the 96 Manitoba regional health authority districts highlights significant positive spatial autocorrelation, demonstrating a clustered distribution of the infection. Northern districts of Manitoba and central Winnipeg were identified as significant clusters. Temporal analysis shows seasonal patterns, with higher infections in late summer and fall. Additionally, spatio-temporal analysis reveals clusters during high-risk periods, with the most likely cluster in the northern districts of Manitoba from January 2006 to June 2014, and a secondary cluster in central Winnipeg from June 2004 to November 2012. This study identifies that Gonorrhea infection transmission in Manitoba has temporal, spatial, and spatio-temporal variations. The findings provide vital insights for public health and Manitoba Health by revealing high-risk clusters and emphasizing the need for focused and localized prevention, control measures, and resource allocation.

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加拿大马尼托巴省的淋病集群检测:空间、时间和时空分析
在加拿大,淋病感染是第二大最普遍的性传播感染。2018 年,马尼托巴省报告的发病率是全国平均水平的三倍。本研究旨在利用马尼托巴省卫生部提供的 2000 年至 2016 年个人层面实验室确认的行政数据,调查马尼托巴省淋病感染的空间、时间和时空模式。年龄和性别模式表明,与男性相比,女性感染的年龄更小。此外,2016 年重复感染人数有所增加,占总感染人数的 16%。对马尼托巴省 96 个地区卫生局辖区的空间分析显示,空间自相关性呈显著正相关,表明感染呈集群分布。马尼托巴省北部地区和温尼伯市中心被确定为重要的集群。时间分析显示出季节性模式,夏末和秋季感染率较高。此外,时空分析还揭示了高风险时期的集群,2006年1月至2014年6月期间,马尼托巴省北部地区最有可能出现集群,2004年6月至2012年11月期间,温尼伯中部地区出现次要集群。这项研究表明,马尼托巴省的淋病感染传播存在时间、空间和时空变化。研究结果为公共卫生和马尼托巴省卫生部门提供了重要的启示,揭示了高风险集群,强调了有重点的本地化预防、控制措施和资源分配的必要性。
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来源期刊
Infectious Disease Modelling
Infectious Disease Modelling Mathematics-Applied Mathematics
CiteScore
17.00
自引率
3.40%
发文量
73
审稿时长
17 weeks
期刊介绍: Infectious Disease Modelling is an open access journal that undergoes peer-review. Its main objective is to facilitate research that combines mathematical modelling, retrieval and analysis of infection disease data, and public health decision support. The journal actively encourages original research that improves this interface, as well as review articles that highlight innovative methodologies relevant to data collection, informatics, and policy making in the field of public health.
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