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CN 34-1304/RISSN 1674-3679

Volume 24 Issue 9
Sep.  2020
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Article Contents
HU Wen-sui, LIU Wei, HOU Jian-rong, ONG Zhi-qiang, LIU Yuan. Epidemiological characteristics and temporal-spatial clustering analysis of tuberculosis in Guangzhou from 2010 to 2019[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2020, 24(9): 1037-1041. doi: 10.16462/j.cnki.zhjbkz.2020.09.009
Citation: HU Wen-sui, LIU Wei, HOU Jian-rong, ONG Zhi-qiang, LIU Yuan. Epidemiological characteristics and temporal-spatial clustering analysis of tuberculosis in Guangzhou from 2010 to 2019[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2020, 24(9): 1037-1041. doi: 10.16462/j.cnki.zhjbkz.2020.09.009

Epidemiological characteristics and temporal-spatial clustering analysis of tuberculosis in Guangzhou from 2010 to 2019

doi: 10.16462/j.cnki.zhjbkz.2020.09.009
Funds:

Guangzhou Science and Technology Program Project 201904010156

More Information
  • Corresponding author: UU Yuan,E-mail:736174712@qq.com
  • Received Date: 2020-01-02
  • Rev Recd Date: 2020-04-02
  • Publish Date: 2020-09-10
  •   Objective  To study the epidemiological characteristics and temporal-spatial clustering of tuberculosis in Guangzhou from 2010 to 2019, and to provide evidence for developing precise prevention and control measures.   Methods  The data of tuberculosis incidence was collected and described in Guangzhou from 2010 to 2019. Spatial and spatiotemporal clustering of tuberculosis incidence was analyzed in the township level.  Results  A total of 136 341 tuberculosis cases were reported in Guangzhou from 2010 to 2019. The average annual incidence was 103.48/100 000. The overall incidence of tuberculosis showed a downward trend form 2010 to 2019 (χ2=712.46, P < 0.001). The peak time of incidence was from March to May, and 69.59% of the reported cases were male. The annual global Moran's I of reported tuberculosis incidence ranged from 0.088 3 to 0.286 0 (all P < 0.05). The high-high area was mainly concentrated in some towns including Nansha and Huadu District located in south and northwest of Guangzhou. Two high-reported and one low-reported incidence clusters were identified by spatiotemporal scanning statistic. 5 towns including Chini and Tanbu in Huadu District was the cluster area of most highest incidence. The lowest incidence cluster areas were mainly concentrated in central urban areas such as Yuexiu and Haizhu District.  Conclusion  The tuberculosis incidence showed a trend of generally decreasing in Guangzhou from 2010 to 2019, and there was spatiotemporal aggregation. Some streets/towns of Huadu and Nansha District should be the keypoints of prevention and control.
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