Epidemiological characteristics and spatio-temporal clustering of pulmonary tuberculosis in Huangpu District from 2009 to 2023
10.19485/j.cnki.issn2096-5087.2025.09.015
- Author:
LING Hong
;
WANG Na
;
SONG Qin
;
XU Hao
- Publication Type:Journal Article
- Keywords:
pulmonary tuberculosis;
epidemiological characteristics;
spatio-temporal clustering
- From:
Journal of Preventive Medicine
2025;37(9):937-940
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the epidemiological characteristics and spatial-temporal clustering characteristics of pulmonary tuberculosis in Huangpu District, Shanghai Municipality from 2009 to 2023, so as to provide the evidence for formulating targeted pulmonary tuberculosis prevention and control strategies.
Methods:Data of registered pulmonary tuberculosis cases in Huangpu District from 2009 to 2023, including gender, age, occupation, and pathogenetic test results, were collected from the Tuberculosis Management Information System of the China Disease Prevention and Control Information System. The registered incidence was calculated, and the trend was analyzed using the annual percent change (APC) and average annual percent change (AAPC). Spatial distribution pattern was analyzed using kernel density estimation and the average nearest neighbor methods. The temporal-spatial clustering characteristics of pulmonary tuberculosis were identified using the spatio-temporal scan analysis.
Results:A total of 2 726 pulmonary tuberculosis cases were registered in Huangpu District from 2009 to 2023. The registered incidence decreased from 31.20/100 000 in 2009 to 15.06/100 000 in 2023 (AAPC=-6.156%, P<0.05). A sharp declining trend was particularly observed from 2017 to 2023 (APC=-11.355%, P<0.05). Among them, 1 239 were pathogen-positive, and the pathogen positivity rate increased from 40.80% in 2009 to 71.05% in 2023 (P<0.05). There were 1 906 male cases and 820 female cases, with a male-to-female ratio of 2.32∶1. There were 798 cases aged 45-<60 years and 981 retirees, accounting for 29.27% and 35.99%, respectively. Temporal-spatial clustering analysis revealed spatial clustering areas during both 2009-2016 and 2017-2023 (both P<0.05). The clustering area for 2009-2016 was located in the central-eastern part of Huangpu District, with the clustering time in 2012. The clustering area for 2017-2023 was in the southwestern part, with the clustering time in 2017.
Conclusions:The registered incidence of pulmonary tuberculosis in Huangpu District showed a downward trend from 2009 to 2023. The spatial clustering areas were identified in the central-eastern part in Huangpu District in 2012 and the southwestern part in 2017.
- Full text:20251113085957177552009——2023年黄浦区肺结核流行特征和时空聚集性分析.pdf
