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Human Visceral Leishmaniasis is an endemic public health problem in the Amazon. This article analyzed the spatial distribution of this disease and its relationship with socioeconomic, environmental and public health policy variables in four mesoregions of the state of Pará, from 2011 to 2022. This ecological study used secondary data obtained from official Brazilian agencies. Spatial analysis was performed using the Flow, Kernel and Global Moran bivariate techniques expressed in thematic maps. In the mesoregions studied, 2685 cases of the disease were confirmed, with the highest number of cases in Southeast Pará state. The epidemiological profile followed the national pattern of occurrence of the disease, with a higher number of cases in children below school age. Spatial dependence was observed between the prevalence of the disease and socio-economic indicators. The most intense movement of patients was towards the Belém Metropolitan mesoregion. The disease showed an inhomogeneous pattern of distribution of cases, with a direct relationship between areas with cases and deforestation associated with different anthropic activities. There is a socio-environmental production of the disease that goes beyond the border limits of the mesoregions, and its establishment is related to the unsustainable development model implemented in the region.

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BACKGROUND: Malaria is a parasitosis conditioned by several factors. This study sought to analyze the spatial distribution of malaria considering environmental, socioeconomic, and political variables in São Félix do Xingu, Pará, Brazil, from 2014 to 2020. METHODS: Epidemiological, cartographic, and environmental data were obtained from the Ministry of Health, Brazilian Geographical and Statistical Institute, and National Space Research Institute. Statistical and spatial distribution analyses were performed using chi-squared tests of expected equal proportions and the kernel and bivariate global Moran's techniques with Bioestat 5.0 and ArcGIS 10.5.1. RESULTS: The highest percentage of cases occurred in adult males with brown skin color, mainly placer miners, with a primary education level, living in rural areas, who were infected with Plasmodium vivax and with parasitemia of two or three crosses as diagnosed by the thick drop/smear test. The disease had a non-homogeneous distribution, with distinct annual parasite indices associated with administrative districts and clusters of cases in locations with deforestation, mining, and pastures close to Conservation Units and Indigenous Lands. Thus, a direct relationship between areas with cases and environmental degradation associated with land use was demonstrated, along with the precarious availability of health services. Pressure on protected areas and epidemiological silence in Indigenous Lands were also noted. CONCLUSIONS: Environmental and socioeconomic circuits were identified for development of diseases associated with precarious health services in the municipality. These findings highlight the need to intensify malaria surveillance and contribute to the systematic knowledge of malaria's epidemiology by considering the complexity of its conditioning factors.

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This study aims to investigate the relationship between social determinants of health (SDH), incidence, and mortality to verify which sociodemographic factors, symptoms, and comorbidities predict clinical management; second, this study aims to conduct a survival analysis of individuals with COVID-19 in the Xingu Health Region. Consequently, this study adopted an ecological framework, employing secondary data of COVID-19-positive individuals from the Xingu Health Region, Pará State, Brazil. The data were obtained through the database of the State of Pará Public Health Secretary (SESPA) for the period from March 2020 to March 2021. The incidence and mortality were higher in Vitória do Xingu and Altamira. Municipalities with a higher percentage of citizens with health insurance and higher public health expenditure showed a higher incidence and mortality. A higher gross domestic product was associated with a higher incidence. Females were found to be associated with better clinical management. To live in Altamira was a risk factor for intensive care unit admission. The symptoms and comorbidities that predicted worse clinical management were dyspnea, fever, emesis, chills, diabetes, cardiac and renal diseases, obesity, and neurological diseases. There were higher incidence, mortality, and lower survival rates among the elderly. Thus, it can be concluded that SDH indicators, symptomatology, and comorbidities have implications for the incidence, mortality, and clinical management of COVID-19 in the Xingu Health Region of eastern Amazonia, Brazil.

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ABSTRACT Background: Malaria is a parasitosis conditioned by several factors. This study sought to analyze the spatial distribution of malaria considering environmental, socioeconomic, and political variables in São Félix do Xingu, Pará, Brazil, from 2014 to 2020. Methods: Epidemiological, cartographic, and environmental data were obtained from the Ministry of Health, Brazilian Geographical and Statistical Institute, and National Space Research Institute. Statistical and spatial distribution analyses were performed using chi-squared tests of expected equal proportions and the kernel and bivariate global Moran's techniques with Bioestat 5.0 and ArcGIS 10.5.1. Results: The highest percentage of cases occurred in adult males with brown skin color, mainly placer miners, with a primary education level, living in rural areas, who were infected with Plasmodium vivax and with parasitemia of two or three crosses as diagnosed by the thick drop/smear test. The disease had a non-homogeneous distribution, with distinct annual parasite indices associated with administrative districts and clusters of cases in locations with deforestation, mining, and pastures close to Conservation Units and Indigenous Lands. Thus, a direct relationship between areas with cases and environmental degradation associated with land use was demonstrated, along with the precarious availability of health services. Pressure on protected areas and epidemiological silence in Indigenous Lands were also noted. Conclusions: Environmental and socioeconomic circuits were identified for development of diseases associated with precarious health services in the municipality. These findings highlight the need to intensify malaria surveillance and contribute to the systematic knowledge of malaria's epidemiology by considering the complexity of its conditioning factors.

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INTRODUCTION: 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. METHODOLOGY: 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. RESULTS: 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. CONCLUSIONS: 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.

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INTRODUCTION: Cutaneous Leishmaniasis is a disease transmitted to men and animals by infected female phlebotomine sandflies and is considered a great environmental and public health problem in the Amazon region. Thus, the study aimed to analyze the spatial distribution of this disease in São Félix do Xingu, in the state of Pará, Brazil, and its relationship with epidemiological and environmental variables, in the period from 2012 to 2016. METHODOLOGY: The data used were from the Information System of the Pará State Secretariat of Health, the National Institute for Space Research and the Brazilian Institute of Geography and Statistics. The statistical and spatial analysis of the variables were done using non-parametric chi-square statistical test, kernel interpolation technique and the Bivariate Global Moran Index. RESULTS: The municipality had 183 confirmed cases, non-homogeneously distributed in 5 administrative districts. The individuals most affected were adult males with brown skin, an elementary level of education and rural area residents. In the case series, a direct relationship was observed between the increase of the number of cases and deforestation in the study area. The spatial analysis showed different types of land use and cover related to case clusters in the municipality. Additionally, there was a presence of cases in protected areas and a great epidemiological silence in indigenous lands. CONCLUSIONS: Thus, this disease is a large and complex public health problem in the municipality, related to social and environmental risk factors.

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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.

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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.

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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.

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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.

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