ArticleInternational journal of environmental research and public health2021
Socio-Epidemiological Features and Spatial Distribution of Malaria in an Area under Mining Activity in the Brazilian Amazon Region.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Mapping special areas of the Brazilian National Malaria Control Program in the Amazon region: a territorial-based approach to surveillance.Memorias do Instituto Oswaldo Cruz · 2025Article
- Risk factors for contracting malaria in six wards of Mudzi District, Zimbabwe: A case control-study.PloS one · 2025Article
- Assessing the spatial influence of deforestation on malaria incidence in Pará State, Amazon region, Brazil, 2008-2019.Memorias do Instituto Oswaldo Cruz · 2025Article
- Health-Related Quality of Life due to malaria in the Brazilian Amazon using EQ-5D-3L.PLoS neglected tropical diseases · 2024Article
- Brazilian Amazon indigenous territories under deforestation pressure.Scientific reports · 2023Article
- The spatial signature of Plasmodium vivax and Plasmodium falciparum infections: quantifying the clustering of infections in cross-sectional surveys and cohort studies.Malaria journal · 2023Article
- Quantifying the effect of human population mobility on malaria risk in the Peruvian Amazon.Royal Society open science · 2022Article
- On multifactorial drivers for malaria rebound in Brazil: a spatio-temporal analysis.Malaria journal · 2022Article
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9 authors.
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Abstract
Malaria is an acute febrile infectious disease that represents an important public health problem in the Brazilian amazon region. The present study described the socio-epidemiological and spatial characteristics of malaria in a population from the Tapajós mining areas, Pará, Brazilian Amazon. A cross-sectional study, including individuals from Itaituba city, an area under mining activity influence, was conducted. The geographic coordinates were obtained in the field using the Global Positioning System (GPS) Garmin 78csx; for spatial analysis, we used the Kernel Density Estimator with the application of scanning statistics with the SaTScan software. Of the 908 individuals, 311 were positive for malaria. Most of the malaria cases were associated with male individuals, gold miners and with a monthly income of 4-6 salaries. Binary logistic regression analysis demonstrated that gold miners were nearly five times more likely to acquire malaria. In addition, a context of risk for sexually transmitted infections, substance abuse and poor support conditions was observed, worsening the healthcare scenario in this endemic area for malaria. The spatial distribution of malaria cases is irregular in the municipality with hotspot areas located in the Amana Flona that coincide with areas of illegal mining and high human mobility. Finally, the presented socio-epidemiological and spatial distribution data may aid in the development of more effective control measures for malaria in the area.
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