Epidemiological characteristics of leprosy during the period 2005–2020: A retrospective study based on the Chinese surveillance system
BackgroundJiangsu Province is located in the Yangtze River Delta region, with a total area of 107,200 square kilometers. Since 1949, over 55,000 cases have been registered, with Taixing accounting for the highest number of patients. The proportion of new cases with MB and G2D was higher compared to...
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Frontiers Media S.A.
2023-01-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.991828/full |
| _version_ | 1797956036089348096 |
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| author | Xiang Li Guangjie Jin Jing Yang Yunhui Li Pingmin Wei Lianhua Zhang Lianhua Zhang |
| author_facet | Xiang Li Guangjie Jin Jing Yang Yunhui Li Pingmin Wei Lianhua Zhang Lianhua Zhang |
| author_sort | Xiang Li |
| collection | DOAJ |
| description | BackgroundJiangsu Province is located in the Yangtze River Delta region, with a total area of 107,200 square kilometers. Since 1949, over 55,000 cases have been registered, with Taixing accounting for the highest number of patients. The proportion of new cases with MB and G2D was higher compared to other regions. As a result, Jiangsu has been considered a priority area for public health interventions in China.MethodsThis paper mainly described the population, time, and spatial distribution of the newly detected leprosy cases in Jiangsu Province between 2005 and 2020. In this study, all the data were entered into Microsoft Excel and SPSS for the descriptive analysis. ArcGIS was applied to create statistical maps, and Geoda was used to conduct spatial autocorrelation analysis with local Moran's I statistics (LISA). The epidemiological data were obtained from LEPMIS. In addition, population data were obtained from the Statistical Yearbook of Jiangsu Province.ResultsDuring the study period, 363 new cases were reported. Of these, 232 were men and 131 were women (1.77:1). The mean age at diagnosis was 60.56 years, and no adolescent cases were identified. Three hundred and twenty-seven (90.08%) were diagnosed with MB and 36 (9.92%) with PB. 31.68% (115/363) of the patients presented with G2D. Farmers accounted for 74.9%, and most cases were identified in skin clinics (248, 68.32%). We observed a decreasing trend in detection rate, with a higher concentration of new cases diagnosed between July and October. Spatial analysis showed that the new cases were primarily distributed in the northwest of Jiangsu province, and Suqian has the highest incidence of leprosy. Special attention should be paid to Wuzhong, a county with a potential risk of inter-provincial transmission. Furthermore, 55 new cases came from other Chinese provinces but lived in Jiangsu.ConclusionThe NCDR of leprosy decreased, but the new cases showed disabilities, a sign of the late diagnosis. The results indicated that some regions were still suffering from the burden of leprosy. Thus, we recommend that the government should adopt effective strategies to promote leprosy control. The main priorities for eliminating new cases were to provide sustainable financial support, improve the quality of clinical services, strengthen preventive intervention and rehabilitation services for disabilities, provide health education among high-risk populations, and explore new approaches. |
| first_indexed | 2024-04-10T23:42:35Z |
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| id | doaj.art-657d1c6dad8b422e815b6bc85bcabf7b |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-04-10T23:42:35Z |
| publishDate | 2023-01-01 |
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| spelling | doaj.art-657d1c6dad8b422e815b6bc85bcabf7b2023-01-11T05:55:35ZengFrontiers Media S.A.Frontiers in Public Health2296-25652023-01-011010.3389/fpubh.2022.991828991828Epidemiological characteristics of leprosy during the period 2005–2020: A retrospective study based on the Chinese surveillance systemXiang Li0Guangjie Jin1Jing Yang2Yunhui Li3Pingmin Wei4Lianhua Zhang5Lianhua Zhang6Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, ChinaDepartment of Chronic Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, ChinaDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, ChinaDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, ChinaDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, ChinaDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, ChinaDepartment of Chronic Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, ChinaBackgroundJiangsu Province is located in the Yangtze River Delta region, with a total area of 107,200 square kilometers. Since 1949, over 55,000 cases have been registered, with Taixing accounting for the highest number of patients. The proportion of new cases with MB and G2D was higher compared to other regions. As a result, Jiangsu has been considered a priority area for public health interventions in China.MethodsThis paper mainly described the population, time, and spatial distribution of the newly detected leprosy cases in Jiangsu Province between 2005 and 2020. In this study, all the data were entered into Microsoft Excel and SPSS for the descriptive analysis. ArcGIS was applied to create statistical maps, and Geoda was used to conduct spatial autocorrelation analysis with local Moran's I statistics (LISA). The epidemiological data were obtained from LEPMIS. In addition, population data were obtained from the Statistical Yearbook of Jiangsu Province.ResultsDuring the study period, 363 new cases were reported. Of these, 232 were men and 131 were women (1.77:1). The mean age at diagnosis was 60.56 years, and no adolescent cases were identified. Three hundred and twenty-seven (90.08%) were diagnosed with MB and 36 (9.92%) with PB. 31.68% (115/363) of the patients presented with G2D. Farmers accounted for 74.9%, and most cases were identified in skin clinics (248, 68.32%). We observed a decreasing trend in detection rate, with a higher concentration of new cases diagnosed between July and October. Spatial analysis showed that the new cases were primarily distributed in the northwest of Jiangsu province, and Suqian has the highest incidence of leprosy. Special attention should be paid to Wuzhong, a county with a potential risk of inter-provincial transmission. Furthermore, 55 new cases came from other Chinese provinces but lived in Jiangsu.ConclusionThe NCDR of leprosy decreased, but the new cases showed disabilities, a sign of the late diagnosis. The results indicated that some regions were still suffering from the burden of leprosy. Thus, we recommend that the government should adopt effective strategies to promote leprosy control. The main priorities for eliminating new cases were to provide sustainable financial support, improve the quality of clinical services, strengthen preventive intervention and rehabilitation services for disabilities, provide health education among high-risk populations, and explore new approaches.https://www.frontiersin.org/articles/10.3389/fpubh.2022.991828/fullleprosyJiangsuepidemiologyGISspatio-temporal analysis |
| spellingShingle | Xiang Li Guangjie Jin Jing Yang Yunhui Li Pingmin Wei Lianhua Zhang Lianhua Zhang Epidemiological characteristics of leprosy during the period 2005–2020: A retrospective study based on the Chinese surveillance system Frontiers in Public Health leprosy Jiangsu epidemiology GIS spatio-temporal analysis |
| title | Epidemiological characteristics of leprosy during the period 2005–2020: A retrospective study based on the Chinese surveillance system |
| title_full | Epidemiological characteristics of leprosy during the period 2005–2020: A retrospective study based on the Chinese surveillance system |
| title_fullStr | Epidemiological characteristics of leprosy during the period 2005–2020: A retrospective study based on the Chinese surveillance system |
| title_full_unstemmed | Epidemiological characteristics of leprosy during the period 2005–2020: A retrospective study based on the Chinese surveillance system |
| title_short | Epidemiological characteristics of leprosy during the period 2005–2020: A retrospective study based on the Chinese surveillance system |
| title_sort | epidemiological characteristics of leprosy during the period 2005 2020 a retrospective study based on the chinese surveillance system |
| topic | leprosy Jiangsu epidemiology GIS spatio-temporal analysis |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.991828/full |
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