Evidence map›Paper›PMID 38894992›Full record

ArticleFrontiers in public health2024

Epidemiological characteristics and influencing factors of tuberculosis aggregation in schools in Wuhan, China during 2017-2022.

Zhengbin Zhang, Gang Wu, Aiping Yu, Jing Hu, Wei Zhang, Zhouqin Lu, Jun Wu, Lina Wang, Xiaojun Wang, Jianjie Wang and 3 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Zhengbin Zhang *Department of Tuberculosis Control, Wuhan Pulmonary Hospital, Wuhan, Hubei, China.
Gang Wu *Department of Tuberculosis Control, Wuhan Pulmonary Hospital, Wuhan, Hubei, China.
Aiping Yu *Infectious Disease Prevention and Control Department, Dongxihu Centers for Disease Prevention and Control, Wuhan, Hubei, China.
Jing Hu *Center for Disease Control and Prevention of Yangtze River Navigation Administration, Wuhan, Hubei, China.
Wei Zhang *Department of Tuberculosis Control, Wuhan Pulmonary Hospital, Wuhan, Hubei, China.
Zhouqin LuDepartment of Tuberculosis Control, Wuhan Pulmonary Hospital, Wuhan, Hubei, China.
Jun WuDepartment of Tuberculosis Control, Wuhan Pulmonary Hospital, Wuhan, Hubei, China.
Lina WangSchool of Computer and Engineering, Communication Zhengzhou University of Light Industry, Zhengzhou, Henan, China.
Xiaojun WangDepartment of Tuberculosis Control, Wuhan Pulmonary Hospital, Wuhan, Hubei, China.
Jianjie WangDepartment of Tuberculosis Control, Wuhan Pulmonary Hospital, Wuhan, Hubei, China.
Guiyang WangDepartment of Tuberculosis Control, Wuhan Pulmonary Hospital, Wuhan, Hubei, China.
Yuehua LiDepartment of Tuberculosis Control, Wuhan Pulmonary Hospital, Wuhan, Hubei, China.
Meilan ZhouDepartment of Tuberculosis Control, Wuhan Pulmonary Hospital, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Wuhan is located in the hinterland of China, in the east of Hubei Province, at the intersection of the Yangtze River and Hanshui River. It is a national historical and cultural city, an important industrial, scientific, and educational base, and a key transportation hub. There are many schools in Wuhan, with nearly a thousand of all kinds. The number of students is ~2.2 million, accounting for nearly one-fifth of the resident population; college or university students account for ~60% of the total student population. The geographical location of these colleges is relatively concentrated, and the population density is relatively high, making it prone to tuberculosis cluster epidemic. Objective: This study analyzed the epidemiological characteristics and influencing factors of tuberculosis aggregation in schools in Wuhan, China, during 2017-2022 to provide the basis for the scientific development of tuberculosis prevention and control strategies and measures in schools. Methods: This study adopted the methods of descriptive epidemiology to analyze the epidemic characteristics of tuberculosis aggregation in schools in Wuhan from January 2017 to December 2022, collecting the relevant data on tuberculosis prevention and control in all kinds of schools in the city using Questionnaire Star, an application of the China network questionnaire survey, and analyze the influencing factors of tuberculosis aggregation by using multifactor logistic regression analysis. Results: From 2017 to 2022, 54 outbreaks of pulmonary tuberculosis aggregation in schools were reported in Wuhan, which involved 37 different schools, including 32 colleges or universities and five senior high schools; 176 cases were reported, among which 73 were positive for pathogens and 18 were rifampicin or izoniazid resistant. The median duration of a single cluster epidemic was 46 (26,368) days. Universities were more prone to cluster outbreaks than middle schools ( Conclusion: We successfully identified the epidemiological characteristics and influencing factors of tuberculosis aggregation in schools in Wuhan. The results revealed the influence and status of various factors and indicated ways for schools to improve their TB prevention and control measures in their daily activities. These measures can effectively help curb the cluster epidemic of tuberculosis in schools.

Indexed as

SchoolsTuberculosisAdolescentChildChinaFemaleHumansMaleRisk FactorsStudentsSurveys and Questionnairesepidemiologyoutbreakpulmonary tuberculosisregression analysisschool

Identifiers

PMID38894992
PMCPMC11183800

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