ArticleRevista panamericana de salud publica = Pan American journal of public health2021
Interaction between environmental and socioeconomic determinants for cutaneous leishmaniasis risk in Latin America.
Article in Revista panamericana de salud publica = Pan American journal of public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 13 citations in OpenAlex.
- Social Determinants of Health Influencing Leishmaniasis Worldwide: A Systematic Review.Journal of arthropod-borne diseases · 2026Review
- Global, regional, and national age-gender-specific trends, decomposition analysis, and Bayesian age-period-cohort modelling for projections of the burden of leishmaniasis: A population-based ecological study.Current research in parasitology & vector-borne diseases · 2026Article
- Climatic, socioeconomic, and migratory factors on the epidemiological dynamics of cutaneous leishmaniasis in Colombia, 2007-2021.PLoS neglected tropical diseases · 2025Article
- Contribution of imaging in the diagnosis of three neglected diseases in the Southern Cone: Leishmaniasis, Dengue, and Chikungunya.Pediatric radiology · 2025Review
- Article
- Ensuring access to essential health products: Lessons from Colombia's leishmaniasis control and elimination initiative.PLoS neglected tropical diseases · 2023Review
- Association between the potential distribution of Lutzomyia longipalpis and Nyssomyia whitmani and leishmaniasis incidence in Piauí State, Brazil.PLoS neglected tropical diseases · 2023Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveDetermine and characterize potential risk areas for the occurrence of cutaneous leishmaniasis (CL) in Latin America (LA).
methodEcological observational study with observation units defined by municipalities with CL transmission between 2014-2018. Environmental and socioeconomic variables available for at least 85% of the municipalities were used, combined in a single database, utilizing the R software. The principal component analysis methodology was combined with a hierarchical cluster analysis to group clusters of municipalities based on their similarity. The V-test was estimated to define the positive or negative association of the variables with the clusters and separation by natural breaks was used to determine which ones contributed the most to each cluster. Information on cases was also incorporated in the analyses to attribute CL risk for each cluster.
resultsThis study included 4,951 municipalities with CL transmission (36.5% of the total in LA) and seven clusters were defined by their association with 18 environmental and socioeconomic variables. The historical risk of CL is positively associated with the Amazonian, Andean and Savannah clusters in a decreasingly manner; and negatively associated with the Forest evergreen, Forest/crop and Forest/populated clusters. The Agricultural cluster did not reveal any association with the CL cases.
conclusionsThe study made it possible to identify and characterize the CL risk by clusters of municipalities and to recognize the epidemiological distribution pattern of transmission, which provides managers with better information for intersectoral interventions to control CL.
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