Fuzzy and spatial analysis of cutaneous leishmaniasis in Pará State, Brazilian Amazon: an ecological and exploratory study.

INTRODUCTION: This study sought to analyze the relationships between cutaneous leishmaniasis and its epidemiological, environmental and socioeconomic conditions, in the 22 microregions of Pará state, Brazil, for the period from 2017 to 2022. METHODOLOGY: In this ecological and exploratory study, the microregions were used as spatial units because they are formed by contiguous municipalities with similar characteristics. The epidemiological, environmental, socioeconomic, and public health policy data employed were obtained from the official information systems at the Ministry of Health, National Institute for Space Research, and Brazilian Institute of Geography and Statistics. A fuzzy system was developed to identify risk factors for the disease, using Python programming language. The results were analyzed with the bivariate Global Moran spatial analysis technique. RESULTS: It was observed that the Altamira microregion had the highest risk percentage for the disease, while Breves had the lowest, with significant differences in the relevance of its conditioning factors, mainly related to land use and cover patterns, in addition to demography and living conditions index, education and public health policies. CONCLUSIONS: The fuzzy system associated with the geostatistical technique was satisfactory for identifying areas with health vulnerability gradients related to deforestation, pasture, poverty, illiteracy, and health services coverage, as its conditioning variables. Thus, it was demonstrated that deforestation was the main risk factor for the disease. The system can also be used in environmental and epidemiological surveillance.

A Contribution towards Sustainable Development in the Amazon Based on a Socioeconomic and Environmental Analysis of Visceral Leishmaniasis in the State of Pará, Brazil.

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.

Numerical Simulations of Carbon-Fibre Impregnation with a Polymer as an Anisotropic Permeability Medium.

The impregnation process of carbon fibres with polymers is challenging to model due to the system's complexity, particularly concerning the following aspects: the complex rheology of the polymeric matrices and the presence of solid, continuous fibres, both with anisotropic properties, and the interaction between solid and fluid, which can change the displacement of fibres into a cyclic dependence. In this work, an interesting approach was considered by setting the fibres as a porous medium whose properties were calculated with microscale/macroscale cycle modelling. In the microscale modelling stage, two main assumptions can be made: (i) a homogeneous distribution with a representative cell or (ii) a stochastic distribution of fibres. The solution to the abovementioned flow and fibre distribution problem can severely differ with only a slight change in a single parameter for a given set of processing parameters. Therefore, the influence of some of them during the fibre impregnation process was evaluated, allowing a shortcut for the polymer through a gap between fibres and the bottom wall of the extrusion die. The range of investigated values regarding the gap enables one to cover good impregnation conditions up to the occurrence of the shortcut and consequent poor impregnation quality. These studies were performed with numerical simulations with circa 126,000 degrees of freedom, considering the discretisation mesh elements and the unknowns (pressure and two velocity components).

Predictors of Testicular Cancer Mortality in Brazil: A 20-Year Ecological Study.

Testicular cancer is common in young men, and early detection and multimodality treatment can lead to successful outcomes. This study aims to identify sociodemographic and risk factors associated with higher testicular cancer mortality and poorer survival rates, while examining the impact of diagnostic and treatment procedures on reducing mortality. The retrospective ecological study analyzed mortality data from testicular cancer in Brazil from 2001 to 2020. Sociodemographic variables such as marital status, age, birth period, year of death (cohort), race, and geographic region were assessed. Risk factors included cryptorchidism and pesticide exposure. Data were subjected to statistical analysis, which revealed an increasing trend in mortality after 2011 among persons born after 1976 in the 15-40 age group. Individuals in the South Region, whites, and singles had higher age-standardized mortality rates (ASMRs), while singles had lower survival rates. The Northeast region had a higher survival rate. Fungicides and insecticides increase ASMR in Brazil. Herbicides increase ASMR in the Northeast and Midwest regions and insecticides increase ASMR in the Northeast, Southeast, and Midwest regions. High rates of implementation of diagnostic procedures in the Midwest were not sufficient to reduce ASMR. No treatment procedure was associated with mortality at the national or regional level.

Malaria and environmental, socioeconomics and public health conditions in the municipality of São Félix do Xingu, Pará, Eastern Amazon, Brazil: An ecological and cross-sectional study.

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.

COVID-19 in the Eastern Brazilian Amazon: Incidence, Clinical Management, and Mortality by Social Determinants of Health, Symptomatology, and Comorbidities in the Xingu Health Region.

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.

Influence of social, demographic, and clinical factors in live births with spinal dysraphism in Brazil: an ecological study of 21 years.

OBJECTIVES: This study aimed to verify possible associations between sociodemographic and clinical factors in live births with spinal dysraphism. METHODS: An analytical (descriptive and inferential) and ecological study was carried out based on secondary data of 11,308 live births with spinal dysraphism registered in the Live Birth Information System (SINASC) in Brazil from 1999 to 2019. Demographic factors analyzed were age, education, mothers' marital status and geographic region. The clinical factors analyzed were duration, gestation period, birthweight, and number of prenatal visits performed by women who underwent medical follow-up. RESULTS: There was an increase in the number of cases of spinal dysraphism in recent years in Brazil with an annual percentage variation of 3.52%. However, the period from 2005 to 2009 showed a reduction in live births with spinal dysraphism. The regions with the highest incidence were the South and Southeast. The risk increased in mothers born after 1980, older than 30 years and with a high level of education. The risk was increased in live births of whites and blacks, born from double pregnancy and with body weight less than 3000 g. The absence of prenatal care was associated with a higher incidence. CONCLUSION: Sociodemographic and clinical factors have specific characteristics that can predict spinal dysraphism in newborns in Brazil.

Malaria and environmental, socioeconomics and public health conditions in the municipality of São Félix do Xingu, Pará, Eastern Amazon, Brazil: An ecological and cross-sectional study

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.

Visceral Leishmaniasis and Land Use and Cover in the Carajás Integration Region, Eastern Amazon, Brazil.

Human visceral leishmaniasis is a major public health problem in the Amazon. Thus, we analyzed the spatial distribution of this disease and its relationship with epidemiological, socioeconomic, and environmental variables in the Carajás Integration Region, Pará state, from 2011 to 2020. Epidemiological data for this ecological study were obtained from the State Public Health Secretariat, environmental data were obtained from the National Space Research Institute, and socioeconomic data were obtained from the Brazilian Geography and Statistics Institute. ArcGIS 10.5.1 software was used for classifying land use and cover and for the Kernel and Moran spatial analyses. It was observed in 685 confirmed cases that the epidemiological profile followed the national pattern of the disease occurrence, with a high prevalence in children who were not school-aged. The disease had a non-homogeneous distribution with clusters related to different human activities, such as urbanization, ranching, and mining. A spatial dependence between the disease prevalence and socioeconomic indicators was observed. The municipalities presented gradients of case densities associated with a direct relationship between areas with cases and deforestation. The disease is developing due to risk factors such as establishment and maintenance related to the non-sustainable development model implemented in the region, pointing to the need for its revision.

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

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.

Cutaneous leishmaniasis in protected environmental areas in the Eastern Amazon: the case of São Félix do Xingu, Pará, Brazil.

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.

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.

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.

COVID-19 in socially vulnerable quilombola populations in Salvaterra, Pará, Eastern Amazon, Brazil.

INTRODUCTION: COVID-19 is a severe respiratory syndrome caused by the SARS-CoV-2 virus. In Brazil the highest infection rates are associated with socially vulnerable populations. This study therefore sought to analyze the spatial distribution of the disease and its relation with geographic, socioeconomic and public health policy characteristics associated with quilombola communities in Salvaterra municipality, state of Pará, for the period of March to September, 2020. METHODOLOGY: This cross-sectional and ecological study used data from the Disease Notification System and the National Registry of Health Establishments of the Ministry of Health, the Income Transfer Registry of the Ministry of Citizenship and the 2010 census of the Brazilian Institute of Geography and Statistics. Statistical and spatial analysis of the data was done through percentages of cases and Flow and Kernel map techniques. RESULTS: Seventy-five notified cases of COVID-19 distributed among 7 quilombola communities in the municipality were analyzed. The epidemiological profile followed a national trend, with a higher percentage of cases among persons who were female, adults with low schooling levels, working as family farmers and with an outcome ending in recovery. The spatial distribution of the disease was not homogenous and showed clusters of cases and high incidence rates, especially in communities close to the municipal seat or to highways. CONCLUSIONS: The use of data analysis techniques was satisfactory for providing an understanding of the socioeconomic production of the disease in the areas studied. Accordingly, the need for intensifying epidemiological survey actions in the quilombola communities of the municipality is emphasized.

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.

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.

Hepatites B e C nas áreas de três Centros Regionais de Saúde do Estado do Pará, Brasil: uma análise espacial, epidemiológica e socioeconômica / Hepatitis B and C in the areas of three Regional Health Centers of Pará State, Brazil: a spatial, epidemiological and socioeconomic analysis

Resumo Introdução As hepatites virais são graves problemas de saúde pública e estão relacionadas às diferentes características socioeconômicas do território brasileiro. Objetivo Analisar a distribuição espacial das hepatites B e C e sua relação com o Índice de Desenvolvimento Humano Municipal (IDHM) nas áreas de três Centros Regionais de Saúde (CRS), no Estado do Pará, Brasil, de 2010 a 2014. Método Neste trabalho descritivo e transversal, foram utilizados dados do Sistema de Informação de Agravos de Notificação, do Ministério da Saúde, e do Censo 2010, do Instituto Brasileiro de Geografia e Estatística. Resultados As análises mostraram que o 11º CRS notificou o maior número de casos (60,9%). Os indivíduos mais acometidos por ambas as doenças foram do gênero feminino, pardos, adultos e com ensino fundamental. Os fatores de riscos mais significativos foram uso de medicamentos injetáveis e tratamentos dentário e cirúrgico. Foi observada dependência espacial entre o IDHM e os parâmetros da taxa de incidência das doenças, com autocorrelações diretas e indiretas. Assim, áreas com IDHM médio e baixo apresentaram altas taxas de incidência, sobretudo em municípios com intenso fluxo migratório, nas últimas décadas. Conclusão As análises foram eficazes para construir cenários epidemiológicos das doenças. Ressaltamos a necessidade de expandir o controle das hepatites nas áreas estudadas.

Abstract Background Viral hepatitis is a serious public health problem and is related to the different socioeconomic characteristics of the Brazilian territory. Objective To analyze the spatial distribution of the hepatitis B and C and their relationship with the Municipal Human Development Index (IDHM), in the areas of three Regional Health Centers (CRS), in the state of Pará, Brazil, from 2010 to 2014. Method In this descriptive and cross-sectional study, data from the Information System for Notifiable Diseases of the Ministry of Health and the 2010 Census of the Brazilian Institute of Geography and Statistics were used. Results The analyses showed that the 11th CRS reported the greater number of cases (60.9%). The most affected individuals by both diseases were female, brown skin color, adults and elementary school degree. The most significant risk factors were injecting drugs use, dental and surgical treatments. It was observed spatial dependence between the IDHM and the diseases incidence rate parameters, with direct and indirect autocorrelations. Thus, areas with medium and low IDHM showed high incidence rates, especially in municipalities with intense migratory flows, in the last decades. Conclusion The analyses were effective for construct epidemiological scenarios of the diseases. The need to expand the control of hepatitis in the studied areas is highlighted.

Cutaneous leishmaniasis: Spatial distribution and environmental risk factors in the state of Pará, Brazilian Eastern Amazon.

INTRODUCTION: Cutaneous leishmaniasis is an infectious disease transmitted by phlebotomine sandflies and is considered a great environmental and public health problem. Thus, this work presents initial results of the analyses about the relationship between the spatial distribution of this disease and its environmental risk factors in three municipalities, in the state of Pará, Brazil, from 2012 to 2016. METHODOLOGY: It was used data from the Ministry of Health, the National Institute for Space Research and the Brazilian Institute of Geography and Statistics. The statistical and spacial analysis of the variables were done using G-test goodness-of-fit, kernel interpolation technique and the Bivariate Global Moran Index (I). RESULTS: The analyses showed that the most affected individuals were males, adults, low schooling, residents in rural areas and small farmers. The disease spatial distribution was not homogeneous in the municipalities and it was associated to different relationships between the land use and occupation and the notificated cases density, with direct spatial autocorrelation. CONCLUSIONS: The deforestation was the most significant risk factor linked to the cases occurrence in all the studied area. We emphasize the need of intensification of epidemiological and environmental surveillance actions in the studied areas.

Space-temporal analysis of Chagas disease and its environmental and demographic risk factors in the municipality of Barcarena, Pará, Brazil. / Análise espaço-temporal da doença de Chagas e seus fatores de risco ambientais e demográficos no município de Barcarena, Pará, Brasil.

INTRODUCTION: Chagas disease is a parasitosis considered a serious problem of public health. In the municipality of Barcarena, Pará, from 2007 to 2014, occurred the highest prevalence of this disease in Brazil. OBJECTIVE: To analyze the disease distribution related to epidemiological, environmental and demographic variables, in the area and period of the study. METHODS: Epidemiological and demographic data of Barcarena Health Department and satellite images from the National Institute For Space Research (INPE) were used. The deforestation data were obtained through satellite image classification, using artificial neural network. The statistical significance was done with the χ2 test, and the spatial dependence tests among the variables were done using Kernel and Moran techniques. RESULTS: The epidemiological curve indicated a disease seasonal pattern. The major percentage of the cases were in male, brown skin color, adult, illiterate, urban areas and with probable oral contamination. It was confirmed the spatial dependence of the disease cases with the different types of deforestation identified in the municipality, as well as agglomerations of cases in urban and rural areas. Discussion: The disease distribution did not occur homogeneously, possibly due to the municipality demographic dynamics, with intense migratory flows that generates the deforestation. CONCLUSION: Different relationships among the variables studied and the occurrence of the disease in the municipality were observed. The technologies used were satisfactory to construct the disease epidemiological scenarios.

INTRODUÇÃO: A doença de Chagas é uma parasitose considerada um grave problema de saúde pública. No município de Barcarena, Pará, de 2007 a 2014, ocorreu a maior prevalência dessa doença no Brasil. OBJETIVO: Analisar a distribuição dessa doença relacionada às variáveis epidemiológicas, ambientais e demográficas, na área e no período do estudo. MÉTODOS: Foram utilizados dados epidemiológicos e demográficos da Secretaria Municipal de Saúde de Barcarena e imagens de satélites do Instituto Nacional de Pesquisas Espaciais. Os dados de desmatamento foram obtidos por classificação de imagens de satélites, utilizando rede neural artificial. As análises de significância estatística foram realizadas com o teste do χ2, e as de dependência espacial entre as variáveis, com as técnicas de Kernel e Moran. RESULTADOS: A curva epidemiológica indicou um padrão sazonal da doença. O maior percentual dos casos foi em indivíduos do sexo masculino, pardos, adultos, analfabetos, da zona urbana e com provável contaminação oral. Foi confirmada dependência espacial dos casos da doença com os diferentes tipos de desmatamento identificados no município, bem como aglomerados de casos em áreas urbanas e rurais. Discussão: A distribuição da doença não ocorreu de forma homogênea, possivelmente pela dinâmica demográfica do município, com intensos fluxos migratórios que causam os desmatamentos. CONCLUSÃO: Foram observadas diferentes relações entre as variáveis estudadas e a ocorrência da doença no município. As tecnologias utilizadas foram satisfatórias para a construção dos cenários epidemiológicos da doença.