ArticlePLoS neglected tropical diseases2023
Hierarchical spatiotemporal modeling of human visceral leishmaniasis in Rio Grande do Norte, Brazil.
Article in PLoS neglected tropical diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Sand Fly Fauna (Diptera: Psychodidae): Association Between Climatic Variables and NaturalMicroorganisms · 2026Article
- Thyroid disease-attributed mortality burden and temporal trends among U.S. adults aged ≥65 years, 1999-2023: a nationwide analysis based on the CDC WONDER database.Frontiers in public health · 2026Article
- Visceral leishmaniasis risk clusters on Brazil's borders: 2013 to 2022.Revista da Sociedade Brasileira de Medicina Tropical · 2026Article
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
Abstract
Visceral leishmaniasis (VL) is a neglected tropical disease that is globally distributed and has the potential to cause very serious illness. Prior literature highlights the emergence and spread of VL is influenced by multiple factors, such as socioeconomic status, sanitation levels or animal and human reservoirs. The study aimed to retrospectively investigate the presence and infectiousness of VL in Rio Grande do Norte (RN), Brazil between 2007 and 2020. We applied a hierarchical Bayesian approach to estimate municipality-specific relative risk of VL across space and time. The results show evidence that lower socioeconomic status is connected to higher municipality-specific VL risk. Overall, estimates reveal spatially heterogeneous VL risks in RN, with a high probability that VL risk for municipalities within the West Potiguar mesoregion are more than double the expected VL risk. Additionally, given the data available, results indicate there is a high probability of increasing VL risk in the municipalities of Natal, Patu and Pau dos Ferros. These findings demonstrate opportunities for municipality-specific public health policy interventions and warrant future research on identifying epidemiological drivers in at-risk regions.
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Registered trials
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