ArticlePLoS neglected tropical diseases2021
The state of the leprosy epidemic in Yunnan, China 2011-2020: A spatial and spatiotemporal analysis, highlighting areas for intervention.
Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 11 citations in OpenAlex.
- Human resource challenges in leprosy control: A cross-sectional study in southwest border area of China.PLoS neglected tropical diseases · 2026Article
- Persistent and Emerging High-Risk Clusters of Leprosy Detection in Brazil: A Nationwide Spatiotemporal Analysis, 2001-2023.Tropical medicine & international health : TM & IH · 2026Article
- Preliminary evaluation of a neurological clinical pathway for the early detection of leprosy in low-endemic settings: A single-center exploratory study.Scientific reports · 2025Article
- Socioeconomic determinants of the leprosy risk in Yunnan Province, China: a county-level spatiotemporal study.Frontiers in public health · 2025Article
- Ecuador Towards Zero Leprosy: A Twenty-Three-Year Retrospective Epidemiologic and Spatiotemporal Analysis of Leprosy in Ecuador.Tropical medicine and infectious disease · 2024Article
- High-risk spatiotemporal patterns of leprosy in the southeastern region of Yunnan province from 2010 to 2022: an analysis at the township level.BMC public health · 2024Article
- Spatiotemporal pattern of leprosy in southwest China from 2010 to 2020: an ecological study.BMC public health · 2024Observational
- Leprosy prevalence spatial distribution and trend in a health region in Northeast Brazil, 2008-2017: an ecological study.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2023Article
- Spatiotemporal analysis of severe fever with thrombocytopenia syndrome in Shandong Province, China, 2014-2018.BMC public health · 2022Article
- Epidemiological characteristics of leprosy during the period 2005-2020: A retrospective study based on the Chinese surveillance system.Frontiers in public health · 2022Article
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2 authors at 2 institutions in 1 country.
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Abstract
backgroundDespite public health efforts to reduce the leprosy burden in Yunnan, China, leprosy remains an important public health problem in some specific areas. We analyzed the epidemiological characteristics and spatial distribution of leprosy in Yunnan, China, and provide data to guide disease prevention and control efforts. METHODOLOGY/PRINCIPAL
findingsThe surveillance data of newly detected leprosy cases in Yunnan, China, during 2011-2020 were extracted from the LEPROSY MANAGEMANT INFORMATION SYSTEM IN CHINA (LEPMIS), and spatial distribution analysis, spatial autocorrelation analysis, and spatiotemporal scanning were performed with ArcGIS 10.6.1, GeoDa 1.8.8, and SaTScan 9.4.3 software, respectively. A total of 1907 newly detected leprosy cases were reported in Yunnan, China, during 2011-2020. The new case detection rate (NCDR) decreased from 0.62 in 2011 to 0.25 in 2020, with an annual incidence of 0.41/100,000 population. The proportions of multibacillary (MB) cases, cases in female patients, cases causing grade 2 physical disability (G2D), and cases in pediatric patients were 67.07%, 33.93%, 17.99%, and 2.83%, respectively. The number of counties with an incidence above 1/100,000 population decreased from 30 in 2011 to 8 in 2020. The Moran's I of leprosy in Yunnan, China, during 2011-2020 ranged from 0.076 to 0.260, indicating the presence of spatial clusters. Local spatial autocorrelation (LSA) analysis showed that high-high cluster areas (hot spots) were mainly distributed in the southeastern, northern, and northwestern regions. Spatiotemporal scanning showed three clusters with high NCDRs. The probably primary clusters, occurring during January 1, 2011-December 31, 2015, covered 11 counties in the southeastern region (RR = 5.046515, LRR = 271.749664, P = 0.000).
conclusionThe number of leprosy cases in Yunnan decreased overall, although some high-NCDR regions remained. Geographic information system (GIS) analysis coupled with spatial analysis indicated regions with leprosy clusters. Continuous leprosy prevention and control strategies in Yunnan Province should be established, and interventions in high-risk regions should be prioritized and further strengthened.
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