Analysis of spatial characteristics and geographic weighted regression of tuberculosis prevalence in Kashgar, China
Number of cases of tuberculosis (TB) was higher than that of the national level in Kashgar, China. This study aimed to analyze the spatial and temporal distribution of TB and the relationship between TB and social factors, which can provide a reference for the prevention and control of TB. We applie...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-10-01
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| Series: | Preventive Medicine Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S221133552300253X |
| _version_ | 1827813749986164736 |
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| author | Xiaodie Chen Mawlanjan Emam Li Zhang Ramziya Rifhat Liping Zhang Yanling Zheng |
| author_facet | Xiaodie Chen Mawlanjan Emam Li Zhang Ramziya Rifhat Liping Zhang Yanling Zheng |
| author_sort | Xiaodie Chen |
| collection | DOAJ |
| description | Number of cases of tuberculosis (TB) was higher than that of the national level in Kashgar, China. This study aimed to analyze the spatial and temporal distribution of TB and the relationship between TB and social factors, which can provide a reference for the prevention and control of TB. We applied spatial autocorrelation analysis to study the distribution of tuberculosis in Kashgar. We used a geographically weighted regression (GWR) model to analyze the relationship between TB and social factors. A total of 100,330 cases of TB in Kashgar from 2016 to 2021 were analyzed. The number of TB cases in Kashgar was higher in the east, lower in the west, and most elevated in the center. The highest cumulative number of cases was found in Shache county. Global Moran's I ranged from -0.212 to -0.549, and local spatial autocorrelation analysis identified four clusters. According to our analysis, the incidence of tuberculosis was negatively correlated among the regions of Kashgar, and the related causes need to be analyzed in depth in future studies. Per capita gross domestic product (GDP), number of medical institutions per capita, and total population influenced the incidence of tuberculosis in Kashgar. Based on our findings, we suggest some effective measures to reduce the risk of TB infection, such as improving the living standard, developing the regional economy, and distributing health resources rationally. |
| first_indexed | 2024-03-11T23:36:31Z |
| format | Article |
| id | doaj.art-f9568bbf291848ef974f44675e80fcbf |
| institution | Directory Open Access Journal |
| issn | 2211-3355 |
| language | English |
| last_indexed | 2024-03-11T23:36:31Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Preventive Medicine Reports |
| spelling | doaj.art-f9568bbf291848ef974f44675e80fcbf2023-09-20T04:21:11ZengElsevierPreventive Medicine Reports2211-33552023-10-0135102362Analysis of spatial characteristics and geographic weighted regression of tuberculosis prevalence in Kashgar, ChinaXiaodie Chen0Mawlanjan Emam1Li Zhang2Ramziya Rifhat3Liping Zhang4Yanling Zheng5College of Public Health, Xinjiang Medical University, Urumqi 830017, ChinaCenter for Disease Control and Prevention, Kashgar 844000,ChinaFirst Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, Xinjiang, ChinaCollege of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830017, ChinaCollege of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830017, ChinaCollege of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830017, China; Corresponding author at: College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, China.Number of cases of tuberculosis (TB) was higher than that of the national level in Kashgar, China. This study aimed to analyze the spatial and temporal distribution of TB and the relationship between TB and social factors, which can provide a reference for the prevention and control of TB. We applied spatial autocorrelation analysis to study the distribution of tuberculosis in Kashgar. We used a geographically weighted regression (GWR) model to analyze the relationship between TB and social factors. A total of 100,330 cases of TB in Kashgar from 2016 to 2021 were analyzed. The number of TB cases in Kashgar was higher in the east, lower in the west, and most elevated in the center. The highest cumulative number of cases was found in Shache county. Global Moran's I ranged from -0.212 to -0.549, and local spatial autocorrelation analysis identified four clusters. According to our analysis, the incidence of tuberculosis was negatively correlated among the regions of Kashgar, and the related causes need to be analyzed in depth in future studies. Per capita gross domestic product (GDP), number of medical institutions per capita, and total population influenced the incidence of tuberculosis in Kashgar. Based on our findings, we suggest some effective measures to reduce the risk of TB infection, such as improving the living standard, developing the regional economy, and distributing health resources rationally.http://www.sciencedirect.com/science/article/pii/S221133552300253XTuberculosisMoran's ISpatial autocorrelationGeographically weighted regression |
| spellingShingle | Xiaodie Chen Mawlanjan Emam Li Zhang Ramziya Rifhat Liping Zhang Yanling Zheng Analysis of spatial characteristics and geographic weighted regression of tuberculosis prevalence in Kashgar, China Preventive Medicine Reports Tuberculosis Moran's I Spatial autocorrelation Geographically weighted regression |
| title | Analysis of spatial characteristics and geographic weighted regression of tuberculosis prevalence in Kashgar, China |
| title_full | Analysis of spatial characteristics and geographic weighted regression of tuberculosis prevalence in Kashgar, China |
| title_fullStr | Analysis of spatial characteristics and geographic weighted regression of tuberculosis prevalence in Kashgar, China |
| title_full_unstemmed | Analysis of spatial characteristics and geographic weighted regression of tuberculosis prevalence in Kashgar, China |
| title_short | Analysis of spatial characteristics and geographic weighted regression of tuberculosis prevalence in Kashgar, China |
| title_sort | analysis of spatial characteristics and geographic weighted regression of tuberculosis prevalence in kashgar china |
| topic | Tuberculosis Moran's I Spatial autocorrelation Geographically weighted regression |
| url | http://www.sciencedirect.com/science/article/pii/S221133552300253X |
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