Objective　To analyze the current situation and influencing factors of health-care seeking delay of tuberculosis patients registered in Changsha from 2019 to 2023, and to understand the current status of health-care seeking delay after the transformation of the tuberculosis prevention and treatment service model in Changsha, so as to provide reference bases for improving the patient discovery strategy and optimizing tuberculosis control and prevention measures. Methods　The case data of 23 371 tuberculosis patients registered in Changsha City from 2019 to 2023 were collected, and the time of health-care seeking delay and the rate of health-care seeking delay were calculated. Comparison of differences between groups with different characteristics using rank sum test and chi-square test, and the Cochran-Armitage method was used to analyze the trend of health-care seeking delay rate, and multifactorial analysis was carried out with the help of logistic regression model. Results　The median health-care seeking time of tuberculosis patients in Changsha City from 2019-2023 was 16 (5, 44) days, and the overall health-care seeking delay rate was 53.5%, with an overall increasing trend (Z=-7.256, P<0.001). Between-group comparisons revealed differences in health-care seeking delay time and health-care seeking delay rate between groups of patients with different gender, age group, occupation, current address, types of household registration, medical history, complication, diagnostic triage, pathogenic results and geographic accessibility (P<0.05). The results of multifactorial analysis showed that compared to the<25 years age group, the 25-<65 years age group (OR=1.579, 95%CI: 1.490-1.669) and the ≥65 years age group (OR=2.016，95%CI: 1.918-2.113) had a higher risk of health-care seeking delay, presence of complication (OR=1.213，95%CI:1.141-1.285), positive pathology (OR=1.503, 95%CI: 1.449-1.556), and average geographic accessibility of healthcare services (OR=1.073, 95%CI:1.017-1.129) were risk factors for health-care seeking delay, and the risk was relatively lower in the migrating population (OR=0.920, 95%CI: 0.815-0.989). Conclusion　The rate of delayed health-care seeking for tuberculosis patients in Changsha City in 2019-2023 is at a moderate level in the surrounding areas, and the overall trend is increasing. It suggests that proactive screening strategies for key populations should be optimized to improve the accessibility of healthcare services and reduce the rate of health-care seeking delay.

Abstract On May 30 2022, Changsha Center for Disease Control and Prevention received a report of multiple cases of fever from a kindergarten. A field epidemiology investigation, laboratory testing, and control and prevention work were immediately conducted. A total of 76 cases were reported, and all were students, with an attack rate of 9.93%. The onset of illness was peaked between May 18 and June 8. The main clinical symptoms were fever, cough and sore throat, and all the cases were mild. There were 39 cases tested positive for human adenovirus (HAdV) nucleic acid or antigen, and 7 nucleic acid positive specimens were identified as HAdV-7 through virus isolation, culture and genotyping. The field epidemiology investigation and laboratory testing results concluded that it was a clustered outbreak caused by HAdV-7 infection. The main reason for the spread of the outbreak might be that the kindergarten failed to report it in time. High student density, poor classroom ventilation, lax morning and afternoon inspections, non-standard daily disinfection, and the prevalence of HAdV outbreaks in the community were also associated. Kindergartens should improve its infectious disease prevention and control mechanism, strictly follow the reporting regulations, implement the three early measures, standardize disinfection work, and enhance daily ventilation to avoid similar outbreaks in the future.

To analyze the epidemic characteristics and to explore the spatial-temporal clusters of pulmonary tuberculosis (PTB) in Changsha from 2013 to 2016.
 Methods: Descriptive analysis and space-time permutation scan statistic were used to analyze the reported PTB cases in Changsha from 2013 to 2016.
 Results: Between 2013 and 2016, a total of 17 721 PTB cases were reported in Changsha, with annual reported incidence rate at 60.87 per 100 000 population. Males and individuals aged 15 to <60 years accounted for higher proportion of PTB cases compared to females and other age groups. The number of reported PTB cases reached peak from March to May in each year. The space-time permutation scan statistic identified one most likely cluster and two secondary clusters of PTB cases. The most likely cluster covered most areas of Liuyang City and the North-east part of Changsha County from October 1, 2013 to February 28, 2014. The first cluster occupied 12 towns (streets) in Kaifu District and Changsha County in December 2016. The second cluster included four towns (streets) in Yuhua District and Tianxin District from March 1 to September 30, in 2013.
 Conclusion: Between 2013 and 2016, significant space-time clusters of PTB cases were identified in Changsha. These findings could provide a guide for development of regional intervention strategies for PTB control.
Adolescent ; Adult ; Age Distribution ; Aged ; China ; epidemiology ; Cluster Analysis ; Female ; Humans ; Incidence ; Male ; Middle Aged ; Sex Distribution ; Spatio-Temporal Analysis ; Tuberculosis, Pulmonary ; epidemiology