ArticlePLoS neglected tropical diseases2017
Spatial clustering and local risk of leprosy in São Paulo, Brazil.
Article in PLoS neglected tropical diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 63 citations in OpenAlex.
- Determinants of leprosy among patients visiting Sheshamane comprehensive specialized hospital, West Arsi zone, oromia region, ethiopia: a case-control study.Scientific reports · 2025Article
- Spatiotemporal pattern of leprosy in southwest China from 2010 to 2020: an ecological study.BMC public health · 2024Observational
- A cost-effectiveness analysis of a novel algorithm to sequentially diagnose leprosy based on manufactured tests under the SUS perspective.Cadernos de saude publica · 2024Article
- Spatial analysis of the epidemiological risk of leprosy in the municipalities of Minas Gerais.PLoS neglected tropical diseases · 2023Article
- Epidemiological Characteristics and Factors Associated with Cure of Leprosy in Chongqing, China, from 1949 to 2019.The American journal of tropical medicine and hygiene · 2023Article
- Identifying clusters of leprosy patients in India: A comparison of methods.PLoS neglected tropical diseases · 2022Article
- Impact of the COVID-19 pandemic on the diagnosis of leprosy in Brazil: An ecological and population-based study.Lancet regional health. Americas · 2022Article
- Determining target populations for leprosy prophylactic interventions: a hotspot analysis in Indonesia.BMC infectious diseases · 2022Article
- Risk areas for the occurrence of leprosy in border countries of South America - Brazil and Argentina.PloS one · 2022Article
- The state of the leprosy epidemic in Yunnan, China 2011-2020: A spatial and spatiotemporal analysis, highlighting areas for intervention.PLoS neglected tropical diseases · 2021Article
- Geospatial epidemiology of leprosy in northwest Bangladesh: a 20-year retrospective observational study.Infectious diseases of poverty · 2021Observational
- [Combined use of serologic markers and spatial analysis for epidemiological surveillance of leprosyUso conjunto de los marcadores serológicos y del análisis espacial en la vigilancia epidemiológica de la lepra].Revista panamericana de salud publica = Pan American journal of public health · 2021Article
- Models for Heart Failure Admissions and Admission Rates, 2016 through 2018.Healthcare (Basel, Switzerland) · 2020Article
- Leprosy in a prison population: A new active search strategy and a prospective clinical analysis.PLoS neglected tropical diseases · 2020Article
- Leprosy in urban space, areas of risk for disability and worsening of this health condition in Foz Do Iguaçu, the border region between Brazil, Paraguay and Argentina.BMC public health · 2020Article
- Trends and forecasts of leprosy for a hyperendemic city from Brazil's northeast: Evidence from an eleven-year time-series analysis.PloS one · 2020Article
- Spatial analysis of epidemiological and quality indicators of health services for leprosy in hyperendemic areas in Northeastern Brazil.Revista do Instituto de Medicina Tropical de Sao Paulo · 2020Article
- Factors Associated with Multibacillary Leprosy in a Priority Region for Disease Control in Northeastern Brazil: A Retrospective Observational Study.Journal of tropical medicine · 2019Article
- High detection rate of new cases of multibacillary leprosy in Mato Grosso do Sul, Brazil: an observational study from 2001-2015.Revista do Instituto de Medicina Tropical de Sao Paulo · 2018Observational
- Social determinants, their relationship with leprosy risk and temporal trends in a tri-border region in Latin America.PLoS neglected tropical diseases · 2018Article
Corrections and comments
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Authors and funding
18 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough the detection rate is decreasing, the proportion of new cases with WHO grade 2 disability (G2D) is increasing, creating concern among policy makers and the Brazilian government. This study aimed to identify spatial clustering of leprosy and classify high-risk areas in a major leprosy cluster using the SatScan method.
methodsData were obtained including all leprosy cases diagnosed between January 2006 and December 2013. In addition to the clinical variable, information was also gathered regarding the G2D of the patient at diagnosis and after treatment. The Scan Spatial statistic test, developed by Kulldorff e Nagarwalla, was used to identify spatial clustering and to measure the local risk (Relative Risk-RR) of leprosy. Maps considering these risks and their confidence intervals were constructed.
resultsA total of 434 cases were identified, including 188 (43.31%) borderline leprosy and 101 (23.28%) lepromatous leprosy cases. There was a predominance of males, with ages ranging from 15 to 59 years, and 51 patients (11.75%) presented G2D. Two significant spatial clusters and three significant spatial-temporal clusters were also observed. The main spatial cluster (p = 0.000) contained 90 census tracts, a population of approximately 58,438 inhabitants, detection rate of 22.6 cases per 100,000 people and RR of approximately 3.41 (95%CI = 2.721-4.267). Regarding the spatial-temporal clusters, two clusters were observed, with RR ranging between 24.35 (95%CI = 11.133-52.984) and 15.24 (95%CI = 10.114-22.919).
conclusionThese findings could contribute to improvements in policies and programming, aiming for the eradication of leprosy in Brazil. The Spatial Scan statistic test was found to be an interesting resource for health managers and healthcare professionals to map the vulnerability of areas in terms of leprosy transmission risk and areas of underreporting.
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