ArticleInfectious diseases of poverty2022
Spatio-temporal analysis of leprosy risks in a municipality in the state of Mato Grosso-Brazilian Amazon: results from the leprosy post-exposure prophylaxis program in Brazil.
Article in Infectious diseases of poverty, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 17 citations in OpenAlex.
- Persistent and Emerging High-Risk Clusters of Leprosy Detection in Brazil: A Nationwide Spatiotemporal Analysis, 2001-2023.Tropical medicine & international health : TM & IH · 2026Article
- Biosensor-Based Platforms for the Detection and Screening ofACS infectious diseases · 2026Review
- Autoantibodies and vitamin D in leprosy patients in the Brazilian Amazon.BMC infectious diseases · 2026Article
- Spatial, Social and Serological Factors in the Prevalence and Risk of Leprosy in Areas of High Endemicity: An Integrative Review.Infectious disease reports · 2025Review
- A Review of the Efficacy, Safety, and Feasibility of Rifamycin-Based Post-Exposure Chemoprophylaxis for Leprosy.Tropical medicine and infectious disease · 2025Review
- Leprosy elimination phase in Alagoas, 2001-2022: an ecological study.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2025Article
- Socioeconomic determinants of the leprosy risk in Yunnan Province, China: a county-level spatiotemporal study.Frontiers in public health · 2025Article
- Measuring social vulnerability in communities and its association with leprosy burden through spatial intelligence in central West Brazil to guide strategic actions.Archives of public health = Archives belges de sante publique · 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
- Temporal trends and spatial analysis of leprosy surveillance indicators in the municipalities of the state of Mato Grosso, 2008-2022.Revista da Sociedade Brasileira de Medicina Tropical · 2024Article
- Quality of healthcare services to reduce leprosy in Brazil: a trend analysis from 2001 to 2020.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2024Article
- 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
- A Bibliometric Analysis of Leprosy during 2000-2021 from Web of Science Database.International journal of environmental research and public health · 2022Article
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundLeprosy post-exposure prophylaxis (LPEP) with single dose rifampicin (SDR) can be integrated into different leprosy control program set-ups once contact tracing has been established. We analyzed the spatio-temporal changes in the distribution of index cases (IC) and co-prevalent cases among contacts of leprosy patients (CP) over the course of the LPEP program in one of the four study areas in Brazil, namely the municipality of Alta Floresta, state of Mato Grosso, in the Brazilian Amazon basin.
methodsLeprosy cases were mapped, and socioeconomic indicators were evaluated to explain the leprosy distribution of all leprosy cases diagnosed in the period 2016-2018. Data were obtained on new leprosy cases [Notifiable diseases information system (Sinan)], contacts traced by the LPEP program, and socioeconomic variables [Brazilian Institute of Geography and Statistics (IBGE)]. Kernel, SCAN, factor analysis and spatial regression were applied to analyze changes.
resultsOverall, the new case detection rate (NCDR) was 20/10 000 inhabitants or 304 new cases, of which 55 were CP cases among the 2076 examined contacts. Changes over time were observed in the geographic distribution of cases. The highest concentration of cases was observed in the northeast of the study area, including one significant cluster (Relative risk = 2.24; population 27 427, P-value < 0.001) in an area characterized by different indicators associated with poverty as identified through spatial regression (Coefficient 3.34, P-value = 0.01).
conclusionsThe disease distribution was partly explained by poverty indicators. LPEP influences the spatial dynamic of the disease and results highlighted the relevance of systematic contact surveillance for leprosy elimination.
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