ArticleBMC infectious diseases2019
Identification of priority areas for surveillance of cutaneous leishmaniasis using spatial analysis approaches in Southeastern Brazil.
Article in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Design and evaluation of two educational media in the form of animation and games to promote the cutaneous leishmaniasis prevention behaviors in adolescent female.BMC public health · 2022Trial
- Temporal trends and spatial distribution of leishmaniasis based on biomes in Brazil, 2007 to 2020.Revista do Instituto de Medicina Tropical de Sao Paulo · 2026Article
- Co-endemicity of schistosomiasis and tegumentary leishmaniasis: Spatial co-clustering in endemic areas.Tropical medicine & international health : TM & IH · 2025Article
- Ocurrence of Nyssomyia intermedia (Diptera: Psychodidae) in intradomiciliary environments: a potential vector of american cutaneous leishmaniasis in Montezuma, 2024.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2025Article
- Spatial epidemiologic trends of cutaneous leishmaniasis in Rio de Janeiro State, Southeast Brazil, 2001-2020.Revista do Instituto de Medicina Tropical de Sao Paulo · 2025Article
- Understanding American tegumentary leishmaniasis in urban Montes Claros, Brazil: insights from clinical, immunological and therapeutic investigations.Parasitology · 2024Article
- Tegumentary leishmaniasis in Brazil: priority municipalities and spatiotemporal relative risks from 2001 to 2020.Pathogens and global health · 2024Article
- Diversity, Leishmania detection, and blood meal sources of sand flies from Iguatama, Minas Gerais, Brazil.PloS one · 2024Article
- Increased Risk of American Tegumentary Leishmaniasis in an Urban and Rural Area of Caratinga, Brazil between 2016 and 2021.The American journal of tropical medicine and hygiene · 2023Article
- Temporal patterns, spatial risks, and characteristics of tegumentary leishmaniasis in Brazil in the first twenty years of the 21st Century.PLoS neglected tropical diseases · 2023Article
- Oral mucosal leishmaniasis presenting as a nonhealing chronic oral growth: A case report.Clinical case reports · 2023Article
- Application of BASNEF model in students training regarding cutaneous leishmaniasis prevention behaviors: a school-based quasi experimental study.BMC infectious diseases · 2021Article
- Spatial-temporal pattern of cutaneous leishmaniasis in Brazil.Infectious diseases of poverty · 2021Article
- A follow-up study (2007-2018) on American Tegumentary Leishmaniasis in the municipality of Caratinga, Minas Gerais State, Brazil: Spatial analyses and sand fly collection.PLoS neglected tropical diseases · 2021Article
- Article
- American Tegumentary Leishmaniasis in an endemic municipality in the North of Minas Gerais State: spatial analysis and socio-environmental factors.Revista do Instituto de Medicina Tropical de Sao Paulo · 2021Article
- Previous History of American Tegumentary Leishmaniasis Alters Susceptibility and Immune Response AgainstFrontiers in immunology · 2021Article
- Diversity of phlebotomine sand flies and molecular detection of trypanosomatids in Brumadinho, Minas Gerais, Brazil.PloS one · 2020Article
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5 authors.
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Abstract
backgroundCutaneous leishmaniasis (CL) is an important public health problem in Brazil and in several tropical regions of the world. In the Americas, Brazil is the country with the highest number of registered cases. In Brazil, the state of Minas Gerais has the highest number of cases in the southeastern region. In the present study, we used spatial analysis in the State of Minas Gerais to identify municipalities of priority during a nine-year period (2007-2015), which might be used to guide surveillance and control measures.
methodsAn ecological study with spatial analysis of autochthonous cases of CL was performed in the state of Minas Gerais between 2007 and 2015. We calculated incidence rates, used Empirical Bayesian smoothing for each municipality, and divided the analyses into three-year intervals. In order to analyze the existence of spatial autocorrelation, and to define priority areas, Moran's Global Index and Local Indicators of Spatial Association (LISA) were used.
resultsThe mean incidence rate for the entire state was 6.1/100,000 inhabitants. For Minas Gerais, analysis of CL cases over time revealed a successive increase of indicated mesoregions with high priority municipalities. Eight of the designated mesoregions contained municipalities classified as high priority areas in any of the three evaluated trienniums, and four mesoregions had high priority municipalities throughout the entire investigation.
conclusionsWithin the southeastern region of Brazil, Minas Gerais State stands out, with highest CL incidence rates. Using spatial analysis, we identified an increasing numbers of cases in the municipalities classified as high priority areas in different mesoregions of the state. This information might be of value to direct surveillance and control measures against CL and to understand the dynamics of the expansion of CL in Minas Gerais. Similar approaches might be used to map CL in other regions throughout Brazil, or in any other country, where national notification and control programs exist.
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