Spatiotemporal distribution characteristics and impact factors of hepatitis C in Chongqing, China, 2014–2020
Objectives This study aimed to explore the spatial and temporal distribution of hepatitis C and its influencing factors in Chongqing, providing a scientific basis for the relevant departments to formulate targeted preventive measures for the high prevalence of hepatitis C in the region and populatio...
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| Format: | Article |
| Language: | English |
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BMJ Publishing Group
2024-12-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/14/12/e077935.full |
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| author | Yan Zhang Ying Chen Hua Liu Dianguo Xing Saijuan Chen Qiuting Wang Yunyi An Weijie Tan Xinyun Zhou |
| author_facet | Yan Zhang Ying Chen Hua Liu Dianguo Xing Saijuan Chen Qiuting Wang Yunyi An Weijie Tan Xinyun Zhou |
| author_sort | Yan Zhang |
| collection | DOAJ |
| description | Objectives This study aimed to explore the spatial and temporal distribution of hepatitis C and its influencing factors in Chongqing, providing a scientific basis for the relevant departments to formulate targeted preventive measures for the high prevalence of hepatitis C in the region and population.Design We collected data on hepatitis C cases in Chongqing (located in the southwest of China) from 2014 to 2020, and analysed the spatiotemporal heterogeneity of hepatitis C incidence in different populations and identified factors that might influence the incidence of hepatitis C by constructing a Bayesian spatiotemporal model.Settings The study subjects included clinically diagnosed cases and confirmed cases of hepatitis C with current address in Chongqing and onset date between 1 January 2014 and 31 December 2020.Participants The study used aggregated data, including 33 900 clinically diagnosed cases and confirmed cases of hepatitis C.Results From 2014 to 2020, the high-risk areas of hepatitis C were primarily concentrated in the main and new urban areas of Chongqing. In contrast, the low-risk areas were mainly found in southeast and northeast Chongqing. There was also an increasing trend in the risk of incidence in the low-risk areas. Analysis of different populations revealed that men aged 45–59 years had a higher risk of developing hepatitis C in the main urban area compared with other age groups. Additionally, the risk for this population group showed an increasing trend in the southeast and northeast of Chongqing as well as the main urban area. Among women, the rising trend of hepatitis C risk was stronger for those aged 30–44 years in southeast Chongqing and for those aged 45–59 years in northeast Chongqing compared with other age groups. The analysis of influencing factors found that gross domestic product per capita, population density and the proportion of tertiary industry were associated with an increased risk of hepatitis C.Conclusions High-risk areas for hepatitis C virus were mainly located in the main and new urban areas of Chongqing, where the male prime-age population was the focus of prevention and treatment. In the future, the relevant authorities should concentrate on high-risk areas and at the same time strengthen screening and serological surveys for hepatitis C in low-risk areas and various populations, and raise public awareness of prevention, so as to reduce the incidence of hepatitis C. |
| format | Article |
| id | doaj-art-dbaaaee12db847bd81c61730d4e972fc |
| institution | OA Journals |
| issn | 2044-6055 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj-art-dbaaaee12db847bd81c61730d4e972fc2025-08-20T02:00:58ZengBMJ Publishing GroupBMJ Open2044-60552024-12-01141210.1136/bmjopen-2023-077935Spatiotemporal distribution characteristics and impact factors of hepatitis C in Chongqing, China, 2014–2020Yan Zhang0Ying Chen1Hua Liu2Dianguo Xing3Saijuan Chen4Qiuting Wang5Yunyi An6Weijie Tan7Xinyun Zhou81 School of Public Health, Chongqing Medical University, Chongqing, China1 School of Public Health, Chongqing Medical University, Chongqing, China1 School of Public Health, Chongqing Medical University, Chongqing, China2 Office of Health Emergency, Chongqing Municipal Health Commission, Chongqing, China1 School of Public Health, Chongqing Medical University, Chongqing, China1 School of Public Health, Chongqing Medical University, Chongqing, China1 School of Public Health, Chongqing Medical University, Chongqing, China1 School of Public Health, Chongqing Medical University, Chongqing, China1 School of Public Health, Chongqing Medical University, Chongqing, ChinaObjectives This study aimed to explore the spatial and temporal distribution of hepatitis C and its influencing factors in Chongqing, providing a scientific basis for the relevant departments to formulate targeted preventive measures for the high prevalence of hepatitis C in the region and population.Design We collected data on hepatitis C cases in Chongqing (located in the southwest of China) from 2014 to 2020, and analysed the spatiotemporal heterogeneity of hepatitis C incidence in different populations and identified factors that might influence the incidence of hepatitis C by constructing a Bayesian spatiotemporal model.Settings The study subjects included clinically diagnosed cases and confirmed cases of hepatitis C with current address in Chongqing and onset date between 1 January 2014 and 31 December 2020.Participants The study used aggregated data, including 33 900 clinically diagnosed cases and confirmed cases of hepatitis C.Results From 2014 to 2020, the high-risk areas of hepatitis C were primarily concentrated in the main and new urban areas of Chongqing. In contrast, the low-risk areas were mainly found in southeast and northeast Chongqing. There was also an increasing trend in the risk of incidence in the low-risk areas. Analysis of different populations revealed that men aged 45–59 years had a higher risk of developing hepatitis C in the main urban area compared with other age groups. Additionally, the risk for this population group showed an increasing trend in the southeast and northeast of Chongqing as well as the main urban area. Among women, the rising trend of hepatitis C risk was stronger for those aged 30–44 years in southeast Chongqing and for those aged 45–59 years in northeast Chongqing compared with other age groups. The analysis of influencing factors found that gross domestic product per capita, population density and the proportion of tertiary industry were associated with an increased risk of hepatitis C.Conclusions High-risk areas for hepatitis C virus were mainly located in the main and new urban areas of Chongqing, where the male prime-age population was the focus of prevention and treatment. In the future, the relevant authorities should concentrate on high-risk areas and at the same time strengthen screening and serological surveys for hepatitis C in low-risk areas and various populations, and raise public awareness of prevention, so as to reduce the incidence of hepatitis C.https://bmjopen.bmj.com/content/14/12/e077935.full |
| spellingShingle | Yan Zhang Ying Chen Hua Liu Dianguo Xing Saijuan Chen Qiuting Wang Yunyi An Weijie Tan Xinyun Zhou Spatiotemporal distribution characteristics and impact factors of hepatitis C in Chongqing, China, 2014–2020 BMJ Open |
| title | Spatiotemporal distribution characteristics and impact factors of hepatitis C in Chongqing, China, 2014–2020 |
| title_full | Spatiotemporal distribution characteristics and impact factors of hepatitis C in Chongqing, China, 2014–2020 |
| title_fullStr | Spatiotemporal distribution characteristics and impact factors of hepatitis C in Chongqing, China, 2014–2020 |
| title_full_unstemmed | Spatiotemporal distribution characteristics and impact factors of hepatitis C in Chongqing, China, 2014–2020 |
| title_short | Spatiotemporal distribution characteristics and impact factors of hepatitis C in Chongqing, China, 2014–2020 |
| title_sort | spatiotemporal distribution characteristics and impact factors of hepatitis c in chongqing china 2014 2020 |
| url | https://bmjopen.bmj.com/content/14/12/e077935.full |
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