Temporal-spatial clustering analysis of pulmonary tuberculosis in Beijing from 2015 to 2019

LIU Yang; GAO Yan-lin; SHI Yun-ping; WANG Chao; XIE Chun-yan; HU Xiao

doi:10.16462/j.cnki.zhjbkz.2021.08.006

Volume 25 Issue 8

Aug. 2021

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Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2021 > 25(8): 898-904

LIU Yang, GAO Yan-lin, SHI Yun-ping, WANG Chao, XIE Chun-yan, HU Xiao. Temporal-spatial clustering analysis of pulmonary tuberculosis in Beijing from 2015 to 2019[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(8): 898-904. doi: 10.16462/j.cnki.zhjbkz.2021.08.006

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LIU Yang, GAO Yan-lin, SHI Yun-ping, WANG Chao, XIE Chun-yan, HU Xiao. Temporal-spatial clustering analysis of pulmonary tuberculosis in Beijing from 2015 to 2019[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(8): 898-904. doi: 10.16462/j.cnki.zhjbkz.2021.08.006

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Temporal-spatial clustering analysis of pulmonary tuberculosis in Beijing from 2015 to 2019

doi: 10.16462/j.cnki.zhjbkz.2021.08.006

1.
Center for Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing 100013, China
2.
Center for Information and Statistics, Beijing Center for Disease Preventive Medical Research, Beijing 100013, China

More Information

Corresponding author: GAO Yan-lin, E-mail: gaoyl@bjcdc.org
Received Date: 2021-02-23
Rev Recd Date: 2021-05-07

Available Online: 2021-08-24

Publish Date: 2021-08-10

Abstract

Abstract

Objective To understand the spatial and temporal distributions and the clustering areas of pulmonary tuberculosis in Beijing from 2015 to 2019, and to provide evidence for the disease prevention and control. Methods Descriptive epidemiologic methods were used to analyze pulmonary tuberculosis data in Beijing from 2015 to 2019 from the Chinese Disease Surveillance Information Reporting System. Time-space rescheduling scanning analysis was used to explore the spatio-temporal distribution characteristics. Results In total, 34 271 cases of pulmonary tuberculosis were reported in Beijing from 2015 to 2019, the annual incidence was 31.67 per 100 000. The high incidence period was from March to September every year, then decreased rapidly after a small peak in November and December, and reached the lowest level in February of the following year. The area with the highest reported incidence was Mentougou District, followed by Tongzhou District. The spatio-temporal scanning analysis detected the spatio-temporal aggregation area, when the scanning radius was 5km, the most likely clusters were detected all in Chaoyang district (RR=5.96, 5.86, 5.88, 6.12, 7.17, respectively. all P < 0.001). With the increase of scaning radius, Spatio-temporal clusters of pulmonary tuberculosis tended to move to the south west: Dongcheng, Xicheng, Fengtai and Shijingshan. Conclusions There were obvious spatiotemporal clusters of pulmonary tuberculosis in Beijing from 2015 to 2019. The high incidence areas were Chaoyang, Xicheng, Dongcheng, Fengtai and Shijingshan, and there was a trend of diffution in neighboring areas of the most likely gathering districts. Monitoring in key areas should be strengthened, and targeted prevention and control measures should be carried out.
- Pulmonary tuberculosis,
- Epidemiological characteristics,
- Spatial-temporal aggregation analysis,
- Spatial distribution

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References(22)

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