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The socio-environmental production of malaria in three municipalities in the Carajás region, Pará, Brazil

OBJECTIVE: To analyze the environmental production of malaria in the municipalities of Marabá, Parauapebas, and Canaã dos Carajás, in Pará, from 2014 to 2018. METHODS: This ecological, cross-sectional study used epidemiological data in the Sistema de Informações de Vigilância Epidemiológica da Malár...

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Detalles Bibliográficos
Autores principales: Pereira, Alba Lucia Ribeiro Raithy, Miranda, Claudia do Socorro Carvalho, Guedes, Juan Andrade, de Oliveira, Rafael Aleixo Coelho, Campos, Pedro Silvestre da Silva, Palácios, Vera Regina Da Cunha Menezes, Faria, Camylle Maia Costa, Filgueiras, Tainara Carvalho G. M., Figueiredo, Roberto Carlos, Gonçalves, Nelson Veiga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculdade de Saúde Pública da Universidade de São Paulo 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522715/
https://www.ncbi.nlm.nih.gov/pubmed/34730752
http://dx.doi.org/10.11606/s1518-8787.2021055003463
Descripción
Sumario:OBJECTIVE: To analyze the environmental production of malaria in the municipalities of Marabá, Parauapebas, and Canaã dos Carajás, in Pará, from 2014 to 2018. METHODS: This ecological, cross-sectional study used epidemiological data in the Sistema de Informações de Vigilância Epidemiológica da Malária (Malaria Epidemiological Surveillance Information System) from the Secretaria de Saúde do Estado do Pará (State of Pará Health Department), cartographic data from the Brazilian Institute of Geography and Statistics (IBGE), and environmental data in the Projeto TerraClass (TerraClass Project) from the National Institute of Space Research (INPE). Statistical analyses used the chi-square test, while the spatial ones, the kernel and Moran’s (I) global bivariate techniques. RESULTS: We analyzed a total of 437 confirmed cases of malaria in the selected area and period. The highest percentage of cases occurred among male miners and farmers, living in rural areas; Plasmodium vivax was the most frequent species; and the most used diagnosis, the thick drop/smear. We also observed a heterogeneous distribution of the disease — with evidence of spatial dependence between incidence areas and different forms of land use, and spatial autocorrelations related to the high variability of anthropic activities in the municipalities. CONCLUSION: The environmental production of malaria relates mainly to cattle production and mining — anthropisms related to land use and occupation in the observed municipalities. Spatial data analysis technologies sufficed for the construction of the epidemiological scenario of the disease.