Tuberculosis is recognized as a chronic respiratory infectious disease and still one of the important public health issues in the world.Douglas reported an unique seasonal pattern (summer peak) of tuberculosis,when compared with most other respiratory diseases in 1996.Since then,there had been many other researchers notified various patterns of seasonality on TB.This paper reviewed all the studies published in the last five years and analyzed the current findings on seasonal variability and influencing factors,in order to explore the risk factors to provide evidence for prevention and control strategies on tuberculosis.

Objective: To analyze the epidemiological characteristics and assoicated factors of tuberculosis (TB) aggregation in schools in Wuhan from 2017 to 2020, and to provide scientific basis for school based TB prevention and control strategies. Methods: Questionnaire star was used to collect data on tuberculosis prevention and control in various schools in Wuhan. Multivariate logistic regression analysis was used to analyze the influencing factors of tuberculosis aggregation in schools. Results: A total of 37 outbreaks of tuberculosis aggregation in schools were reported in Wuhan from 2017 to 2020, which involved 28 different schools, including 24 colleges and universities and 4 senior high schools, 176 cases were reported, among which 39 were positive for pathogens and 17 cases of rifampicin resistant, and the median duration of single cluster epidemic was 48 (28, 368) days, universities were more prone to cluster outbreaks than middle schools ( χ 2=75.27, P <0.01), the incidence in male was higher than that of in female in cluster outbreak ( χ 2=22.82, P =0.00). The results of multivariate Logistic regression analysis showed that boarding school ( OR =5.12), TB screening at school entry ( OR =3.27), etiology tracking and registrationin school ( OR =7.28), treatment and isolation of sick students on time ( OR =9.12), whether the dormitories and classrooms were often ventilated ( OR =4.97), and whether the management of school suspension and return was strictly implemented ( OR =4.68) were associated with the occurrence of TB cluster outbreak( P <0.05). Conclusion Schools should actively strive for policies and funding, strictly implement TB screening and physical examination for freshmen, as well as the management of contact tracing and registeration, targeted TB health education, guidance for teachers and students for cleaning, disinfection and hand hygiene, timely treatment and reporting of suspected symptoms, to prevent the occurrence of TB clustering outbreaks.

Objective: To analyze the epidemiological characteristics of pulmonary tuberculosis among students in Wuhan from 2011 to 2020, and to provide a basis for the scientific development of interventions and strategies. Methods: Epidemiological distribution, time of onset and treatment, as well as treatment outcomes of student tuberculosis in Wuhan from 2011 to 2020 registered in the national tuberculosis information management system were described. Results: During 2011-2020, 4 337 student tuberculosis patients in Wuhan were registered. The average annual incidence rate was 22.44/10 million, and the annual decreasing rate of 7.86% The incidence of male and female patients was 1.76:1, and the incidence rate of male was higher than that of female( χ 2=184.18, P <0.01). Most of patients aged 19-22 years old, accounting for 47.89%; Tuberculosis reports were highest during March to May, and September to November, and lowest during January to February, and July to August. Student patients were mainly concentrated in Hongshan District, Jiangxia District and Wuchang District, where schools were more distributed in Hongshan District, Dongxihu District, Wuchang District and Xinzhou District. The median duration from tuberculosis onset to treatment was 9(3, 21) days, which varied significantly by region, age, nationality, and patient residence ( Z =-9.25, 47.14, 9.88,43.96, P <0.01). The treatment and outcome of student tuberculosis patients were varied significantly by year and nationality( P <0.05). Conclusion The incidence of student tuberculosis in Wuhan City showed a slow downward trend. Most of student tuberculosis are college and high school students. Time and place of case detection are relatively fixed. The time of treatment and the outcome of treatment vary significantly. Tuberculosis prevention and control strategies should be formulated according to the local conditions according to the tuberculosis distribution characteristics, as well as enhancing surveillance, health promotion, active discovery and supervision management of tuberculosis in school settings.

Objective To determine the genotype and clustering characteristics of multidrug-resistant (MDR) mycobacterium tuberculosis in Wuhan City. Methods A total of 149 mycobacterium tuberculosis strains from MDR tuberculosis (MDR-TB) patients were genotyped by DTM-PCR, mycobacterial interspersed repetitive unit–variable number tandem repeat typing (MIRU-VNTR) and sequencing of drug-resistant associated genes. The Hunter-Gaston discriminatory index (HGDI), clustering rate and recent minimum estimated infection rate were calculated. Results The cumulative HGDI of all MIRU loci was 0.9944. Gene locus with the highest HGDI（0.6467）was QUB11b. Combing MIRU-VNTR and DTM-PCR, 111 unique genotypes and 11 clustered genotypes（38 strains）from 149 isolates were identified. The clustering rate was 25.50%, and the recent minimum infection rate was estimated to be 18.12%. After further genotyping by sequencing of drug-resistant associated genes, the results showed that 17 (44.74%) strains in each cluster shared the same mutation sites, while the other strains had different mutation sites. Conclusion The combination of DTM-PCR, 24 locus MIRU-VNTR typing and drug resistance gene sequencing demonstrates a relatively high discriminatory power, which is suitable for the genotyping of multi drug resistant mycobacterium tuberculosis in Wuhan. The epidemic of MDR-TB in Wuhan is mainly caused by reactivation, and the recent transmission rate is not high.