ArticleRevista de saude publica2019
Environmental and socioeconomic analysis of malaria transmission in the Brazilian Amazon, 2010-2015.
Article in Revista de saude publica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Spatiotemporal patterns and climate-induced macroeconomic burden of malaria in sub-Saharan Africa.BMC public health · 2025Article
- Malaria mortality in Brazil: an age-period cohort study.Malaria journal · 2025Article
- Assessing the spatial influence of deforestation on malaria incidence in Pará State, Amazon region, Brazil, 2008-2019.Memorias do Instituto Oswaldo Cruz · 2025Article
- Prevalence and attributable health burdens of vector-borne parasitic infectious diseases of poverty, 1990-2021: findings from the Global Burden of Disease Study 2021.Infectious diseases of poverty · 2024Article
- Effect of spatiotemporal variables on abundance, biting activity and parity of Nyssorhynchus darlingi (Diptera: Culicidae) in peri-Iquitos, Peru.Malaria journal · 2024Article
- Evaluation and Forecasting Analysis of the Association of Conditional Cash Transfer With Child Mortality in Latin America, 2000-2030.JAMA network open · 2023Article
- Vector role and human biting activity of Anophelinae mosquitoes in different landscapes in the Brazilian Amazon.Parasites & vectors · 2021Article
- Community perception of malaria in a vulnerable municipality in the Colombian Pacific.Malaria journal · 2020Article
- Analysis of inpatient data on dengue fever, malaria and leishmaniasis in Ecuador: A cross-sectional national study, 2015-2022.New microbes and new infectionsArticle
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4 authors.
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Abstract
objectiveTo analyze the environmental and socioeconomic risk factors of malaria transmission at municipality level, from 2010 to 2015, in the Brazilian Amazon.
methodsThe municipalities were stratified into high, moderate, and low transmission based on the annual parasite incidence. A multinomial logistic regression that compared low with medium transmission and low with high transmission was performed. For each category, three models were analyzed: one only with socioeconomic risk factors (Gini index, illiteracy, number of mines and indigenous areas); a second with the environmental factors (forest coverage and length of the wet season); and a third with all covariates (full model).
resultsThe full model showed the best performance. The most important risks factors for high transmission were Gini index, length of the wet season and illiteracy, OR 2.06 (95%CI 1.19-3.56), 1.73 (95%CI 1.19-2.51) and 1.10 (95%CI 1.03-1.17), respectively. The medium transmission showed a weaker influence of the risk factors, being illiteracy, forest coverage and indigenous areas statistically significant but with marginal influence.
conclusionsAs a disease of poverty, the reduction in wealth inequalities and, therefore, health inequalities, could reduce the transmission considerably. Besides, environmental risk factors as length of the wet season should be considered in the planning, prevention and control. Municipality-level and fine-scale analysis should be done together to improve the knowledge of the local dynamics of transmission.
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