Analysis on spatial distribution characteristics of tuberculosis in rural areas of Nanning in 2010-2018
10.3969/j.issn.1006-2483.2022.01.010
- VernacularTitle:2010—2018年南宁市农村地区结核病空间分布特征分析
- Author:
Qiuping HE
1
;
Liangyong GUO
1
;
Rongjian ZHU
1
;
Chi TANG
2
Author Information
1. Nanning Municipal Center for Disease Control and Prevention , Nanning 530023 , China
2. Nanning Municipal Health Commission , Nanning 530023 , China
- Publication Type:Journal Article
- Keywords:
Rural areas;
Tuberculosis;
Spatial autocorrelation analysis
- From:
Journal of Public Health and Preventive Medicine
2022;33(1):48-52
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the spatial distribution characteristics of tuberculosis in rural areas of Nanning City from 2010 to 2018, and explore the clustering areas, and to provide evidence for tuberculosis prevention and treatment. Methods The database of tuberculosis epidemics in rural areas of Nanning City from 2010 to 2018 was established by ArcGIS 10.8. The spatial distribution map was drawn, and global autocorrelation, local autocorrelation and hotspot analysis were conducted. Results The spatial distribution map of the average annual reported incidence rates in rural areas of Nanning from 2010 to 2018 showed that the towns with high average annual incidence rates were Jinchai Town and Yangqiao Town. Global autocorrelation analysis showed that the Moran's I index from 2010 to 2018 was 0.18 (Z=2.33, P=0.02), suggesting that tuberculosis in rural areas of Nanning had spatial clustering in the regional distribution. Local autocorrelation analysis showed that tuberculosis in rural areas of Nanning had high-high clustering, low-low clustering, high-low clustering and low-high clustering patterns. Among them, Jinchai Town and Lidang Yao Township were high-high clustering areas. Litang Town, Xinfu Town and Taoxu Town were low-low clustering areas. Local hotspot analysis showed that “hotspot” areas included Jinchai Town, Yangqiao Town and Lidang Yao Township. Conclusion There is a spatial clustering of tuberculosis epidemics in rural areas of Nanning. The high-incidence areas include Jinchai Town, Yangqiao Town and Lidang Yao Township, and the low-incidence areas include Litang Town, Xinfu Town and Taoxu Town.
