Multi-scale spatiotemporal characteristics of the clustered epidemics in primary and secondary schools and kindergartens in Hongshan District, Wuhan City
10.3969/j.issn.1006-2483.2024.03.018
- VernacularTitle:武汉市洪山区中小学校及托幼机构聚集性疫情多尺度时空分析
- Author:
Lanxin MA
1
,
2
;
Chuanhua YU
1
Author Information
1. School of Public Health , Wuhan University , Wuhan , Hubei 430071, China
2. Hongshan District of Wuhan Municipal Center for Disease Control and Prevention , Wuhan , Hubei 430070, China
- Publication Type:Journal Article
- Keywords:
School;
Clustered epidemics;
Spatiotemporal characteristics
- From:
Journal of Public Health and Preventive Medicine
2024;35(3):77-81
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the spatiotemporal characteristics of the clustered epidemics of common infectious diseases in primary and secondary schools and kindergartens in Hongshan District, Wuhan from 2015 to 2022, and to provide a basis for scientific development of control measures. Methods Descriptive epidemiological methods were used to describe events. Mean center method and standard ellipse method were used to reflect the overall distribution characteristics of the events, and hot spot analysis and nuclear density analysis were used to explore and analyze the spatiotemporal characteristics of clustered epidemics at annual and seasonal scales. Results From 2015 to 2022, a total of 1563 clustered outbreaks of infectious diseases were reported in primary and secondary schools and kindergartens in Hongshan District of Wuhan. The top three clustered epidemic diseases were hand-mouth-foot disease (HFMD)/herpangina, influenza like cases, and varicella, respectively. Primary schools were prone to influenza like cases (76.00%), kindergartens were prone to HFMD/herpangina (92.06%), and primary schools and middle schools were prone to varicella (69.70% and 21.21% respectively). As the years grew, the clustered epidemics showed a trend of spreading towards the northeast and southwest direction. Compared with other places, Luonan Street and Hongshan Street had a higher incidence density of clustered epidemic events (21.81% and 15.86% respectively), which requires special attention. The areas with the highest nuclear density value in each season were mainly concentrated in the middle of Hongshan District. There were two clusters of HFMD/herpangina concentrated in Luonan Street, Liyuan and Heping Street, which was different from other diseases. Conclusion When deploying medical resources and epidemic prevention and control work in schools within the jurisdiction, more emphasis should be placed on key streets and places to achieve the best cost-effectiveness.
