Analysis on the spatial-temporal distribution characteristics of pulmonary tuberculosis in the elderly in Jiangsu Province from 2017 to 2022

JIANG Hui; CHEN Ke; WANG Zhan; YU Hao; ZHU Limei; ZHOU Yong; LIU Qiao

doi:10.16462/j.cnki.zhjbkz.2024.06.018

Volume 28 Issue 6

Jun. 2024

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Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2024 > 28(6): 736-739

JIANG Hui, CHEN Ke, WANG Zhan, YU Hao, ZHU Limei, ZHOU Yong, LIU Qiao. Analysis on the spatial-temporal distribution characteristics of pulmonary tuberculosis in the elderly in Jiangsu Province from 2017 to 2022[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(6): 736-739. doi: 10.16462/j.cnki.zhjbkz.2024.06.018

Citation:

JIANG Hui, CHEN Ke, WANG Zhan, YU Hao, ZHU Limei, ZHOU Yong, LIU Qiao. Analysis on the spatial-temporal distribution characteristics of pulmonary tuberculosis in the elderly in Jiangsu Province from 2017 to 2022[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(6): 736-739. doi: 10.16462/j.cnki.zhjbkz.2024.06.018

Citation:

JIANG Hui, CHEN Ke, WANG Zhan, YU Hao, ZHU Limei, ZHOU Yong, LIU Qiao. Analysis on the spatial-temporal distribution characteristics of pulmonary tuberculosis in the elderly in Jiangsu Province from 2017 to 2022[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(6): 736-739. doi: 10.16462/j.cnki.zhjbkz.2024.06.018

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Analysis on the spatial-temporal distribution characteristics of pulmonary tuberculosis in the elderly in Jiangsu Province from 2017 to 2022

doi: 10.16462/j.cnki.zhjbkz.2024.06.018

JIANG Hui¹,
CHEN Ke²,
WANG Zhan³,
YU Hao³,
ZHU Limei³,
ZHOU Yong^{4
,
,},
LIU Qiao^{3
,
,}

1.
Department of Chronic Infectious Disease Control, Center for Disease Control and Prevention of Zhenjiang City, Zhenjiang 212001, China
2.
Department of Epidemiology, School of Public Health, Southeast University, Nanjing 210009, China
3.
Department of Chronic Infectious Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
4.
Institute for Prevention and Control of Chronic Noncommunicable Diseases, Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150030, China

Funds:

National Nature Science Foundation of China 82003516

General Research Project of Jiangsu Provincial Health Commission M2020020

More Information

Corresponding author: ZHOU Yong, E-mail: zhouyonghljtb@163.com; LIU Qiao, E-mail: liuqiaonjmu@163.com
Received Date: 2023-10-23
Rev Recd Date: 2024-05-14

Available Online: 2024-07-13

Publish Date: 2024-06-10

Abstract

Abstract

Objective This study aimed to analyze the spatiotemporal distribution characteristics of pulmonary tuberculosis among the elderly population in Jiangsu Province, China, from 2017 to 2022. The findings will provide a scientific basis for implementing and adjusting pulmonary tuberculosis prevention and control strategies in the province. Methods We collected data on pulmonary tuberculosis incidence in the elderly population of Jiangsu Province from 2017 to 2022, along with the corresponding elderly population figures for each county. ArcGIS 10.7 software was used for visualization mapping. Global and local spatial autocorrelation analysis was conducted using Geoda 1.18.0 software to explore spatial clustering of pulmonary tuberculosis cases. Finally, SaTScan 10.1 software was employed for spatiotemporal scan analysis to identify areas with spatiotemporal aggregation. Results The reported incidence rate of pulmonary tuberculosis in the elderly population of Jiangsu Province decreased significantly from 78.99/100 000 in 2017 to 55.17/100 000 in 2022 (χ_trend²=439.493, P < 0.001), with an average annual incidence rate of 64.14/100 000. The Moran's I values ranged from 0.243 to 0.600, indicating an overall spatial clustering distribution of pulmonary tuberculosis cases. Spatiotemporal scan analysis identified five statistically significant spatiotemporal clusters (P < 0.05), including a primary cluster encompassing 22 counties, a secondary cluster of 3 counties, a tertiary cluster of 5 counties, and a quaternary cluster of 14 counties. And the time of spatiotemporal aggregation was 2017-2019. Conclusions Despite a year-by-year decrease, the incidence rate of pulmonary tuberculosis in the elderly population of Jiangsu Province remains higher than the general population. Furthermore, the presence of evident spatial clustering necessitates focused attention in these areas for improved pulmonary tuberculosis prevention and control strategies.
- Elderly population,
- Pulmonary tuberculosis,
- Spatial-temporal analysis

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References(12)

References

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