PDF(Pubmed)
Abstract：
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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 (χ2 = 105.160, P = 0.001), and the incidence rate among male students was higher than that of female students in cluster epidemics (χ2 = 12.970, P = 0.001). The multivariate logistic regression analysis results showed that boarding in school (OR = 7.60) is the risk factor for a tuberculosis cluster epidemic in schools. The small number of students (OR = 0.50), the location of the school in the city (OR = 0.60), carry out physical examinations for freshmen (OR = 0.44), carry out illness absence and cause tracking (OR = 0.05), dormitories and classrooms are regularly ventilated with open windows (OR = 0.16), strict implement the management of sick student\'s suspension from school (OR = 0.36), and seeking timely medical consultation (OR = 0.32) were the protective factors for a tuberculosis cluster epidemic in schools.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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 (χ2 = 105.160, P = 0.001), and the incidence rate among male students was higher than that of female students in cluster epidemics (χ2 = 12.970, P = 0.001). The multivariate logistic regression analysis results showed that boarding in school (OR = 7.60) is the risk factor for a tuberculosis cluster epidemic in schools. The small number of students (OR = 0.50), the location of the school in the city (OR = 0.60), carry out physical examinations for freshmen (OR = 0.44), carry out illness absence and cause tracking (OR = 0.05), dormitories and classrooms are regularly ventilated with open windows (OR = 0.16), strict implement the management of sick student\'s suspension from school (OR = 0.36), and seeking timely medical consultation (OR = 0.32) were the protective factors for a tuberculosis cluster epidemic in schools.
UNASSIGNED: 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.
摘要：
■武汉位于中国腹地,在湖北省东部，在长江和汉水的交汇处。是国家历史文化名城,一个重要的工业，科学,和教育基地，和重要的交通枢纽。武汉有很多学校，有将近一千个各种各样的。学生人数约为220万，占常住人口的近五分之一；大学生约占学生总数的60%。这些学院的地理位置相对集中,人口密度相对较高，使其容易发生结核病集群流行。
■本研究分析了武汉市学校结核病聚集的流行病学特征及影响因素,中国,为2017-2022年学校科学制定结核病防治策略和措施提供依据。
■本研究采用描述性流行病学方法，对2017年1月至2022年12月武汉市学校结核病聚集性流行特征进行分析，采用问卷之星收集全市各类学校结核病防控相关数据，中国网络问卷调查的应用，多因素logistic回归分析结核病聚集性的影响因素。
■从2017年到2022年，武汉市报告了54起学校肺结核聚集性疫情，涉及37所不同的学校，包括32所学院或大学和5所高中；报告了176例病例，其中73例病原体阳性，18例利福平或艾博尼嗪耐药。单个集群流行病的中位持续时间为46(26,368)天。大学比中学更容易发生集群性疫情(χ2=105.160,P=0.001),在聚集性流行病中，男生的发病率高于女生（χ2=12.970，P=0.001）。多因素logistic回归分析结果显示,学校寄宿(OR=7.60)是学校结核病聚集性流行的危险因素。学生人数少（OR=0.50），学校在城市的位置（OR=0.60），对新生进行体检（OR=0.44），进行疾病缺失和原因追踪(OR=0.05)，宿舍和教室定期开窗通风(OR=0.16)，严格执行病态学生停学管理(OR=0.36),及时就医(OR=0.32)是学校结核病集束化流行的保护因素。
■我们成功识别了武汉市学校结核病聚集的流行病学特征和影响因素。结果揭示了各种因素的影响和现状，为学校在日常活动中改进结核病防治措施指明了途径。这些措施可以有效地遏制学校结核病的聚集性流行。
■本研究分析了武汉市学校结核病聚集的流行病学特征及影响因素,中国,为2017-2022年学校科学制定结核病防治策略和措施提供依据。
■本研究采用描述性流行病学方法，对2017年1月至2022年12月武汉市学校结核病聚集性流行特征进行分析，采用问卷之星收集全市各类学校结核病防控相关数据，中国网络问卷调查的应用，多因素logistic回归分析结核病聚集性的影响因素。
■从2017年到2022年，武汉市报告了54起学校肺结核聚集性疫情，涉及37所不同的学校，包括32所学院或大学和5所高中；报告了176例病例，其中73例病原体阳性，18例利福平或艾博尼嗪耐药。单个集群流行病的中位持续时间为46(26,368)天。大学比中学更容易发生集群性疫情(χ2=105.160,P=0.001),在聚集性流行病中，男生的发病率高于女生（χ2=12.970，P=0.001）。多因素logistic回归分析结果显示,学校寄宿(OR=7.60)是学校结核病聚集性流行的危险因素。学生人数少（OR=0.50），学校在城市的位置（OR=0.60），对新生进行体检（OR=0.44），进行疾病缺失和原因追踪(OR=0.05)，宿舍和教室定期开窗通风(OR=0.16)，严格执行病态学生停学管理(OR=0.36),及时就医(OR=0.32)是学校结核病集束化流行的保护因素。
■我们成功识别了武汉市学校结核病聚集的流行病学特征和影响因素。结果揭示了各种因素的影响和现状，为学校在日常活动中改进结核病防治措施指明了途径。这些措施可以有效地遏制学校结核病的聚集性流行。
