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Spatial distribution of malaria and primary healthcare in Cametá and Tucuruí, Pará state, Brazil

2022; Open Learning on Enteric Pathogens; Volume: 16; Issue: 01 Linguagem: Inglês

10.3855/jidc.15260

2036-6590

Maira Cibelle da Silva Peixoto, Cláudia do Socorro Carvalho Miranda, Pedro Silvestre da Silva Campos, Alba Lúcia Ribeiro Raithy Pereira, Marília de Souza Araújo, Emerson Cordeiro Morais, Roberto Carlos Figueiredo, Adriana Veiga da Conceição Silva, João Sérgio de Sousa Oliveira, Nelson Veiga Gonçalves,

Mosquito-borne diseases and control

Malaria cases in Brazil are concentrated in the Amazon region. In the state of Pará, malaria is considered an endemic disease, and the population has different levels of exposure, which contributes to different types of occurrence in the municipalities.A descriptive, cross-sectional, and ecological study was conducted using data from the Malaria Epidemiological Surveillance System of the municipalities of Cametá and Tucuruí, PA, Brazil, from 2014 to 2018; the Brazilian Institute of Geography and Statistics; and the National Registry of Health Institutions of the Ministry of Health. Statistical and spatial analyses of epidemiological, laboratory and public health service coverage variables were performed using the Bioestat 5.0 and ArcGis 10.5 software.11,381 Malaria cases were reported in the two municipalities. The highest percentage of case notifications was reported in brown-skinned men aged from 19 and 59 years, and who had primary education levels. The predominant occupations were farming and livestock in Cametá and domestic activity in Tucuruí. The most common diagnostic examination used was a thick blood smear, and Plasmodium vivax was the species most often encountered. The percentage of primary care coverage increased during the study period. The spatial distribution of the disease was not homogeneous, and there were clusters of cases with different densities in Cametá and Tucuruí.Malaria is a public health problem in the municipalities of Cametá and Tucuruí, because of its transmission dynamics and variable spatial distribution as well as the coexistence of factors that favor the exposure of resident populations to epidemiological situations, thus reflecting health inequities.