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Epidemiological characteristics of leprosy during the period 2005–2020: A retrospective study based on the Chinese surveillance system

BACKGROUND: Jiangsu 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 t...

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Autores principales: Li, Xiang, Jin, Guangjie, Yang, Jing, Li, Yunhui, Wei, Pingmin, Zhang, Lianhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9874668/
https://www.ncbi.nlm.nih.gov/pubmed/36711406
http://dx.doi.org/10.3389/fpubh.2022.991828
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author Li, Xiang
Jin, Guangjie
Yang, Jing
Li, Yunhui
Wei, Pingmin
Zhang, Lianhua
author_facet Li, Xiang
Jin, Guangjie
Yang, Jing
Li, Yunhui
Wei, Pingmin
Zhang, Lianhua
author_sort Li, Xiang
collection PubMed
description BACKGROUND: Jiangsu 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. METHODS: This 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. RESULTS: During 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. CONCLUSION: The 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.
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spelling pubmed-98746682023-01-26 Epidemiological characteristics of leprosy during the period 2005–2020: A retrospective study based on the Chinese surveillance system Li, Xiang Jin, Guangjie Yang, Jing Li, Yunhui Wei, Pingmin Zhang, Lianhua Front Public Health Public Health BACKGROUND: Jiangsu 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. METHODS: This 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. RESULTS: During 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. CONCLUSION: The 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. Frontiers Media S.A. 2023-01-11 /pmc/articles/PMC9874668/ /pubmed/36711406 http://dx.doi.org/10.3389/fpubh.2022.991828 Text en Copyright © 2023 Li, Jin, Yang, Li, Wei and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Li, Xiang
Jin, Guangjie
Yang, Jing
Li, Yunhui
Wei, Pingmin
Zhang, Lianhua
Epidemiological characteristics of leprosy during the period 2005–2020: A retrospective study based on the Chinese surveillance system
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 Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9874668/
https://www.ncbi.nlm.nih.gov/pubmed/36711406
http://dx.doi.org/10.3389/fpubh.2022.991828
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