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 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.

Spatial distribution of human visceral leishmaniasis cases in Cametá, Pará, Eastern Amazon, Brazil.

INTRODUCTION: Human visceral leishmaniasis is considered a major public health problem in the municipality of Cametá, Pará, Brazil. METHODS: This ecological study was conducted using data obtained from official Brazilian agencies. Spatial analysis of the variables was performed using the kernel interpolation technique and the bivariate Global Moran's Index. RESULTS: The spatial distribution of the disease was not homogeneous, and it was associated with socio-environmental risk factors and public policies. CONCLUSIONS: Different relationships were observed between the variables studied and disease occurrence.

The socio-environmental production of malaria in three municipalities in the Carajás region, Pará, Brazil / A produção socioambiental da malária em três municípios da região de Carajás, Pará, Brasil

ABSTRACT 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.

RESUMO OBJETIVO Analisar a produção ambiental da malária nos municípios de Marabá, Parauapebas e Canaã dos Carajás, no Pará, entre 2014 e 2018. MÉTODOS Estudo ecológico e transversal a partir de dados epidemiológicos do Sistema de Informações de Vigilância Epidemiológica da Malária, da Secretaria de Saúde do Estado do Pará. Foram utilizados também dados cartográficos do Instituto Brasileiro de Geografia e Estatística (IBGE) e ambientais do projeto TerraClass, do Instituto Nacional de Pesquisas Espaciais (INPE). As análises estatísticas utilizaram o cálculo de percentuais e o teste qui-quadrado e as espaciais as técnicas de Kernel e de Moran global bivariado (I). RESULTADOS Foram analisados 437 casos confirmados de malária, na área e periodo de estudo. O maior percentual de casos ocorreu em indivíduos do sexo masculino, adultos, morador da zona rural, com atividades de garimpagem e agropecuária, sendo o Plasmodium vivax a espécie de maior frequência e o diagnóstico mais utilizado a gota espessa/esfregaço. A distribuição da malária não ocorreu de forma homogênea, com evidências de dependência espacial entre áreas com ocorrência de casos e diferentes tipos de uso da terra. Foram observadas também autocorrelações espaciais relacionadas à alta variabilidade dos tipos antropismos, ocorrida nos municípios. CONCLUSÃO A produção ambiental da malária está associada principalmente à pastagem e à mineração, antropismos relacionados às formas de uso e ocupação da terra nos municípios estudados. As tecnologias de análises de dados espaciais em saúde foram satisfatórias para a construção do cenário epidemiológico da doença.

Spatial distribution of human visceral leishmaniasis cases in Cametá, Pará, Eastern Amazon, Brazil

Abstract INTRODUCTION: Human visceral leishmaniasis is considered a major public health problem in the municipality of Cametá, Pará, Brazil. METHODS: This ecological study was conducted using data obtained from official Brazilian agencies. Spatial analysis of the variables was performed using the kernel interpolation technique and the bivariate Global Moran's Index. RESULTS: The spatial distribution of the disease was not homogeneous, and it was associated with socio-environmental risk factors and public policies. CONCLUSIONS: Different relationships were observed between the variables studied and disease occurrence.