Geospatial analysis and prevalence of Schistosoma mansoni and soil-transmitted helminth infections in an endemic area in Eastern Brazilian Amazon.

OBJECTIVES: This study evaluated the occurrence of Schistosoma mansoni and soil-transmitted helminths in an endemic area in the Eastern Brazilian Amazon, analysing prevalence and spatial distribution. METHODS: The study was conducted in four localities of Primavera Municipality, in Pará state. Data was obtained from the Decit 40/2012 project and the participants were divided into five age range categories for evaluation: children, adolescents, young adults, adults and elderly individuals. For the diagnostic tests, Kato-Katz slides were prepared to detect S. mansoni and soil-transmitted helminths eggs. The spatial distribution map and the Kernel Density Estimation were performed to assess the presence and location of infections. RESULTS: Stool samples revealed the presence of hookworms, S. mansoni, Ascaris lumbricoides and Trichuris trichiura eggs. Mono-, bi- and poly-parasitic infections were observed, with a significant prevalence of hookworm monoparasitism. CONCLUSIONS: The high frequency of children infected with soil-transmitted helminths confirms their significance as an ongoing public health problem in the poorest municipalities of Brazil. The Geographic Information System plays a crucial role in environmental surveillance and in the control of epidemics and endemic diseases, enabling accurate assessment and informed decision-making for their control.

Enhancing Health Care Accessibility and Equity Through a Geoprocessing Toolbox for Spatial Accessibility Analysis: Development and Case Study.

BACKGROUND: Access to health care services is a critical determinant of population health and well-being. Measuring spatial accessibility to health services is essential for understanding health care distribution and addressing potential inequities. OBJECTIVE: In this study, we developed a geoprocessing toolbox including Python script tools for the ArcGIS Pro environment to measure the spatial accessibility of health services using both classic and enhanced versions of the 2-step floating catchment area method. METHODS: Each of our tools incorporated both distance buffers and travel time catchments to calculate accessibility scores based on users' choices. Additionally, we developed a separate tool to create travel time catchments that is compatible with both locally available network data sets and ArcGIS Online data sources. We conducted a case study focusing on the accessibility of hemodialysis services in the state of Tennessee using the 4 versions of the accessibility tools. Notably, the calculation of the target population considered age as a significant nonspatial factor influencing hemodialysis service accessibility. Weighted populations were calculated using end-stage renal disease incidence rates in different age groups. RESULTS: The implemented tools are made accessible through ArcGIS Online for free use by the research community. The case study revealed disparities in the accessibility of hemodialysis services, with urban areas demonstrating higher scores compared to rural and suburban regions. CONCLUSIONS: These geoprocessing tools can serve as valuable decision-support resources for health care providers, organizations, and policy makers to improve equitable access to health care services. This comprehensive approach to measuring spatial accessibility can empower health care stakeholders to address health care distribution challenges effectively.

Application of spatial environmental indicators in the assessment of degradation potential of water resources in water basins.

Changes in land use have been occurring in a continuous and disorderly way in recent decades due to rapid population growth and the growing demand for food. These constant changes result in a series of harmful effects to the environment, especially to water resources, significantly changing their availability and quality. This study aims to evaluate the degradation potential of watersheds through an evaluation of some environmental indicators using arithmetic means to construct an index called in this research "index of potential environmental degradation" (IPED). To form the IPED, the hydrographic sub-basins of the Sorocabuçu River, located in the central west of the State of São Paulo, Brazil, comprised the study area. The results showed that most hydrographic sub-basins, that is, eight units, present degradation values ranging from moderate to very high, resulting mainly from low conservation values of forests plus a use destined to the planting of temporary cultures depending on good physical conditions. On the other hand, only one sub-basin showed a low degradation value. The methodology used for the development of the IPED is easy to apply and an effective tool for environmental analyses. It may contribute to studies and forms of planning and land use management aiming the conservation of water resources and protected areas and reduction of degradation.

Analysis of the cancer occurrence related to natural radioactivity in the Rio Grande do Norte State, Brazil.

The state of Rio Grande do Norte, located in the Northeast region of Brazil, has areas of granites and pegmatites with minerals that have varying concentrations of uranium. Consequently, high concentrations of radon gas, a carcinogenic substance for humans, can occur. The present study aimed to assess the occurrence of cancer and its association with exposure to sources of natural radioactivity using geological and geophysical information in the aforementioned state. The spatial dependence of pulmonary, breast, stomach, leukemia, and skin cancer cases with the location of radioisotope sources were analyzed using geoprocessing tools. The geoprocessing analysis showed a differential pattern of uranium emission throughout the state, with the highest emission from areas with pegmatites outcrops. A spatial dependency of cancer cases was shown (Moran index: 0.43; p < 0.01). Moreover, a higher rate of natural radioactivity-cancer cases was associated with the high-intensity natural radioactivity areas: odds ratio:1.21 (95% CI 1.20; 1.23), following the same pattern when separately compared the different related types of cancer. These results highlight the importance of natural radioactivity as a public health problem in the Brazilian environmental scenario, confirming the need for further studies as the first toward understanding and implementing health management strategies mitigating the exposures, especially in areas of environmental risk.

Assessing the role of protected areas in the land-use change dynamics of a biodiversity hotspot.

Although protected areas (PAs) are designed to safeguard natural ecosystems from anthropic modifications, many PAs worldwide are subjected to numerous human-induced impacts. We evaluated whether the establishment of PAs in the Upper Paraná River floodplain region could reduce anthropic landscape changes and whether there is a difference in protection when using different PA restriction categories. We analyzed the overall landscape dynamics using 30 years of land-use time series data and evaluated the change intensity via a partial land-use intensity analysis. Despite the increasing landscape anthropization, the PAs seemed to relieve the general change process, protecting natural areas mainly from agricultural expansion. Concerning the degree of use restriction, more restricted protection led to less human-induced changes. Finally, accessing PA effectiveness is a multidisciplinary challenge for researchers; however, this knowledge is crucial to avoid misunderstandings or poorly crafted public policies or decisions that may harm the environment.

Spatial Distribution of Off-Host Stages of Tunga penetrans in the Soil within the Home Range of Nine Infected Dogs in An Endemic Tourist Area in Brazil.

Tungiasis is a neglected disease caused by the sand flea Tunga penetrans, and dogs are considered the main reservoirs in Brazil. This study aimed to identify the role of dogs as tungiasis dispersers and to investigate the presence of T. penetrans in the soil of an endemic tourist area. Nine dogs infected by T. penetrans were included in this study and received GPS collars to analyze their movement through the village. Duplicate sand samples were collected in different areas of the community. Those areas were classified as peridomicile (n = 110), open area (n = 110), beach (n = 50), and river (n = 58). The analysis of the points recorded by the collars showed that the dogs roamed throughout the community, potentially facilitating the spread of the disease. Samples contaminated with developmental forms of the parasite were found in the circulation area of three dogs. Adult fleas were found in 3/328 samples. These data emphasize that infected dogs' roaming can influence the fleas' dispersion in the soil. Statistically, none of the study variables had a significant correlation (p > 0.5) with the presence of T. penetrans in the area analyzed. This study was the first to assess infected dogs' role as tungiasis propagators.

Spatial Analysis in Areas with High Occurrence of Accidents Caused by Tityus serrulatus and Tityus bahiensis (Scorpiones: Buthidae) in Brazil.

INTRODUCTION: In Brazil, scorpion stings are recorded in high numbers with an increasing epidemiological situation in most municipalities. In the present study, data between 1998 and 2018 in Americana, São Paulo, were analyzed. METHODS: In total, 4122 records on scorpion stings were georeferenced using a Garmin eTREX 30X global positioning system device, with WGS84 datum projection and Universal Transverse Mercator zone 23S. Multiple Poisson regression was used to explore the relationship between the incidence rates of stings and urban planning areas (UPAs). Eight quantitative variables were used to establish the environmental and anthropic characterization of UPAs associated or not associated with scorpionism. A spatial analysis was performed for geoprocessing maps of Americana using spatial statistics tools (optimized hotspot analysis and kernel density function) from cartographic clusters in the ArcMap software, version 10.5. RESULTS: The optimized hotspot analysis tool identified spatial clusters with high values of the incidence of scorpion stings in the surroundings of all UPAs in the municipality. The estimation of the kernel function of event intensity showed a wide distribution of stings across the area of the entire municipal territory, with UPA-02 and UPA-06 exhibiting the highest occurrence of scorpion stings. Six significant hotspots were established as highest-event-density areas (with occurrences of 160-270) and were contiguous to 4 environmental protection areas, located in more peripheral regions, and to 2 municipal cemeteries, which were located in urban central areas. CONCLUSIONS: This analysis showed that the risk of scorpion stings in different Americana's UPAs has increased occurrence and incidence intensity.

Atenção básica: indicadores de Saúde da Mulher no Estado do Tocantins, Brasil / Primary care: women's health indicators in the state of Tocantins, Brazil

Resumo Introdução Na região norte do Brasil observa-se a maior taxa de incidência e mortalidade por câncer de colo uterino (CCU), uma patologia 100% curável quando diagnosticada precocemente. Objetivo Este estudo visa apresentar uma análise temporo-espacial da adesão ao exame de rastreio do CCU, assim como o número de gestantes acompanhadas por agentes de saúde em domicílio, no estado do Tocantins. Método Os dados para a análise foram obtidos através da plataforma DATASUS, considerando um período de quinze anos (2001 a 2015), e foram organizados em planilhas através do software Excel. Para a avaliação espacial, ferramentas de geoprocessamento foram utilizadas, como o software Quantum GIS, com o intuito de gerar mapas temáticos. Resultados Os resultados revelaram que embora existam programas de prevenção do CCU, a adesão ao exame pelas mulheres no estado é muito inferior ao desejado. Quanto ao acompanhamento domiciliar das gestantes, a maior parte dos munícipios registrou médias acima do esperado. Conclusão Mediante ao estudo nota-se a necessidade de adotar novas medidas para melhorar a adesão ao exame preventivo do CCU, já que empregar apenas campanhas educacionais não está sendo suficientemente efetivo. Em relação ao acompanhamento das gestantes, é necessário avaliar a qualidade e não apenas a quantidade, para que seja possível uma melhor orientação e cuidado.

Abstract Background The northern Brazil has the highest rates of incidence and mortality from cervical cancer (CC), a 100% curable pathology if diagnosed early. Objective This study aims at a temporo-spatial analysis of the adherence to the screening test for CC and the number of pregnant women monitored by health agents at home, in the state of Tocantins. Method Data searched on the DATASUS platform covering a 15-year period (2001 to 2015) and organized on Excel spreadsheets. The spatial assessment was performed through geoprocessing tools, such as the Quantum GIS program, to generate thematic maps. Results The results revealed that despite the CC prevention programs, women's adherence to the exam is still far below the expected for the state. In turn, most municipalities registered averages above expectations concerning pregnant women monitoring. Conclusion The study indicates the need to adopt new measures to improve the adherence to the CC preventive exam since educational campaigns have not been effective enough. Pregnant women monitoring should be assessed in terms of quality and not just of quantity to provide better guidance and care.

Efficacies of insecticide dog collars against visceral leishmaniasis in low and high-income areas and the effects for non-collared neighbor dogs.

Previous studies demonstrated that insecticide collars are highly effective in reducing canine visceral leishmaniasis (CVL); however, it is unclear if the efficacy differs by socioeconomic conditions across diverse communities. This study aimed fourfold: (i) to evaluate the protection of 4% impregnated deltamethrin collared (DMC) dogs in different areas of an endemic city for visceral leishmaniasis (VL); (ii) to analyze socioeconomic variables with the seroconversion rates; (iii) to analyze the indirect effect of DMC on untreated dogs in areas of intervention; and, (iv) to evaluate the potential transmission to other dogs in the same household when one positive dog is present. The study employed the municipality of Bauru, São Paulo, Brazil, as the area of interest and used Geographic Information System tools to fit binary logistic regression models.  Dogs were divided into three cohort studies: intervention with DMC (I), indirect effect of DMC (IE), and control (C). Pre-intervention, lower mean income was associated with higher rates of CVL and a 142% increase in the odds of transmission (OR = 1.42, p-value = 0.001, CI 1.14,1.77). Post-intervention, lower-income areas depicted greater efficacy (76%) than higher-income areas (45%). The overall efficacy of DMC in preventing CVL was 63%; however, seroconversion rates were higher for IE (6.02%) than C (3.78%), revealing the failure of the indirect protection of DMC to manage the spread of the disease among the general non-wearing DMC canine population living in the same area. The protected dogs may repel the vectors, and non-protected dogs attract them, creating a higher transmission rate for non-protected dogs. Greater seroconversion was observed for living with an infected dog (10.20% in IE and 8.75% in C) than for the indirect effect of DMC, demonstrating the social burden of CVL. Overall, uncollared dogs have three times higher odds of being infected with CVL than DMC dogs (p < 0.005), and uncollared dogs living with (an) infected dog(s) in the same household can reach 3.5 times higher odds than those living with negative ones (p < 0.005). The results may assist in enhancing public policies and minimizing inequality in low and middle-income countries that suffer from neglected diseases such as VL.

Groundwater quality assessment and its vulnerability to pollution: a study of district Nowshera, Khyber Pakhtunkhwa, Pakistan.

Groundwater is the drinking water source for the majority of rural settlements of district Nowshera, Khyber Pakhtunkhwa, Pakistan. The study aimed to analyze the groundwater quality and its vulnerability to pollution and to develop its spatial distribution mapping. For this purpose, forty-eight groundwater samples were collected from dug wells, tube wells, and hand pumps of sixteen villages and analyzed for physicochemical parameters. The XY coordinates of the sample's sources were marked by Magellan Triton 1500 handheld global positioning system (GPS). The results were compared with WHO and Pak-EPA guidelines. The results of the majority of selected parameters were found within the WHO and Pak-EPA guidelines; however, in certain areas the concentration of total dissolved solids (TDS), chlorides (Cl-), and alkalinity were higher than the guideline limits. Based on cumulative water quality the excellent water quality prevails over an area of 376 km2 (21% of district area), good water quality 726 km2 (42%), poor 424 km2 (24%), very poor 116 km2 (6%), and unfit for drinking 84 km2 (4%). The water of the Nizampur and Rashaki areas were categorized unfit for drinking. The groundwater quality of nearly one-half of the district varies from poor to very poor, and the soil type and vadose zone sediment/material was found the key reason for groundwater contamination. Based on the infiltration capacity of vadose zone material, the study area was divided into four water pollution vulnerable zones. The low vulnerable zone covers an area of 104 km2, moderate 862 km2, high 667 km2, and very high 93 km2. The most important factor which determines the vulnerability of the groundwater to contamination is the vadose zone material/sediment which in turn determines the soil infiltration capacity. The generated groundwater susceptibility and water quality maps provide critical information for identifying optimal locations for supply wells.

Análise de sistema de distribuição de água real no sul de Minas Gerais com o uso de sistema de informação geográfica / Analysis of a real water distribution system in Southern Minas Gerais using geographical information system

RESUMO As perdas físicas de água em uma rede de distribuição podem ser causadas pelo excesso de pressão na rede, erroneamente associada a bom atendimento. Assim, é necessário não apenas reduzir o excesso de pressão, mas também saber onde ocorrem as perdas para providenciar soluções. O uso de ferramentas, como o Sistema de Informações Geográficas, e as simulações computacionais da rede são essenciais para a redução de perdas. Foi então realizado o estudo de uma rede real de distribuição de água em uma região montanhosa do sul de Minas Gerais, por meio do levantamento do setor a ser estudado, com o uso desse sistema de informações, e então feitas três simulações com o uso do software Epanet 2.0, sendo uma delas o cenário-base de referência para comparação com os cenários onde se realizaram melhorias. Depois, foram feitos mapas com o uso de do mesmo sistema informacional para levantamento das pressões e das mudanças realizadas na rede. Também foi feita uma projeção populacional no horizonte de 20 anos, tomando como partida o ano de 2020, para verificar se os indicadores de eficiência energética decairiam ao longo do tempo, com o aumento da população. Assim, os resultados dos três cenários (base, 32 e 35) foram 57,4, 48,2 e 46,6%, respectivamente, indicando redução de perdas conforme a redução da pressão nos cenários, e os indicadores de eficiência energética mostraram uma queda ao longo do horizonte estudado, contudo aceitáveis. Conclui-se que o uso desse sistema aplicado à rede de distribuição de água contribuiu para as análises com vistas à redução das perdas reais e de eficiência hídrica e energética em redes de distribuição de água.

ABSTRACT Excess of water head usually is misidentified as synonymous of good service, leading to water losses in the distribution network. Reducing excess of pressure and identify leaks using tools like Geographic Information Systems and computational simulations is essential to reduce water losses. The study was carried out simulating a real water distribution system in a mountainous city of south of Minas Gerais, with Geographic Information Systems survey of the region and three simulations using the Epanet software, one of which being the original scenario to compare with improved ones. Subsequently, maps using Geographic Information Systems assess pressure and modifications at the network were generated. A populational projection with a 20-year horizon, starting in 2020, was also carried out to assess whether energy efficiency indicators would decrease over time with the increase in population. The losses at base scenario and scenarios 32 and 35 was 57.4, 48.2, and 46.6%, showing a reduction in losses along pressure reduction, and energy efficiency indicators showed a decrease over the studied horizon, though still acceptable. This article concludes that the use of Geographic Information Systems applied to the water distribution network contributed to the analysis to reduce real losses and water and energy efficiency in water distribution networks.

Associations Between Environmental and Sociodemographic Data and Hepatitis-A Transmission in Pará State (Brazil).

Hepatitis-A is a waterborne infectious disease transmitted by the eponymous hepatitis-A virus (HAV). Due to the disease's sociodemographic and environmental characteristics, this study applied public census and remote sensing data to assess risk factors for hepatitis-A transmission. Municipality-level data were obtained for the state of Pará, Brazil. Generalized linear and nonlinear models were evaluated as alternative predictors for hepatitis-A transmission in Pará. The Histogram Gradient Boost (HGB) regression model was deemed the best choice ( R M S E = 2.36, and higher R 2  = 0.95) among the tested models. Partial dependence analysis and permutation feature importance analysis were used to investigate the partial dependence and the relative importance values of the independent variables in the disease transmission prediction model. Results indicated a complex relationship between the disease transmission and the sociodemographic and environmental characteristics of the study area. Population size, lack of sanitation, urban clustering, year of notification, insufficient public vaccination programs, household proximity to open-air dumpsites and storm-drains, and lack of access to healthcare facilities and hospitals were sociodemographic parameters related to HAV transmission. Turbidity and precipitation were the environmental parameters closest related to disease transmission. Based on HGB model, a hepatitis-A risk map was built for Pará state. The obtained risk map can be thought of as an auxiliary tool for public health strategies. This study reinforces the need to incorporate remote sensing data in epidemiological modelling and surveillance plans for the development of early prevention strategies for hepatitis-A.

A web-based support system for biometeorological research.

Data are the fundamental building blocks to conduct scientific studies that seek to understand natural phenomena in space and time. The notion of data processing is ubiquitous and nearly operates in any project that requires gaining insight from the data. The increasing availability of information sources, data formats and download services offered to the users, makes it difficult to reuse or exploit the potential of those new resources in multiple scientific fields. In this paper, we present a spatial extract-transform-load (spatial-ETL) approach for downloading atmospheric datasets in order to produce new biometeorological indices and expose them publicly for reuse in research studies. The technologies and processes involved in our work are clearly defined in a context where the GDAL library and the Python programming language are key elements for the development and implementation of the geoprocessing tools. Since the National Oceanic and Atmospheric Administration (NOAA) is the source of information, the ETL process is executed each time this service publishes an updated atmospheric prediction model, thus obtaining different forecasts for spatial and temporal analyses. As a result, we present a web application intended for downloading these newly created datasets after processing, and visualising interactive web maps with the outcomes resulting from a number of geoprocessing tasks. We also elaborate on all functions and technologies used for the design of those processes, with emphasis on the optimisation of the resources as implemented in cloud services.

Modelagem espacial da erosão hídrica do solo associada à sazonalidade agroclimática na região sul do Rio Grande do Sul, Brasil / Spatial modeling of soil water erosion associated with agroclimatic seasonality in the southern region of Rio Grande do Sul, Brazil

RESUMO A erosão hídrica constitui um sério problema de degradação do solo, com impacto em diversas áreas. Sua mensuração é de extrema importância e onerosa. Os modelos empíricos de estimativa de perdas de solo, como a Equação Universal de Perda de Solo Revisada (RUSLE), são utilizados para suprir essa demanda. Consideram-se poucos estudos no Brasil que avaliam o efeito da sazonalidade agroclimática nas estimativas de perda de solo por erosão hídrica em bacias hidrográficas. Dessa forma, o objetivo deste estudo foi avaliar a sazonalidade agroclimática na estimativa de perdas de solo por meio da RUSLE e identificar os fatores que controlam a erosão na Bacia Hidrográfica do Arroio Fragata (BHAF). O fator erosividade da chuva (R) e a média anual de precipitação foram calculados por meio de dados de quatro estações pluviométricas.. O fator erodibilidade do solo (K) foi obtido a partir de informações de solo. O fator topográfico (LS) foi gerado com base no modelo digital de elevação (MDE) e o fator cobertura do solo e práticas conservacionistas (CP) por meio de imagens do satélite Landsat8/OLI. A variação sazonal teve efeito na perda de solo, com maiores taxas de erosão no período de verão e primavera. Perdas de solo entre 5 e 50 Mg ha-1ano-1 foram registradas em 24% da BHAF, associadas a períodos de chuvas mais erosivas, maior declividade e baixa cobertura vegetal. Os fatores da RUSLE com maior contribuição na erosão foram R, LS e CP. A abordagem apresentada pode ser útil para quantificar as perdas de solo em bacias hidrográficas.

ABSTRACT Water erosion is a serious soil degradation problem, with impact in several areas. Its measurement is extremely important and costly. Empirical models of soil loss estimation, such as the revised universal soil loss equation (RUSLE), are used to meet this demand. Few studies in Brazil are considered to evaluate the effect on agroclimatic seasonality in the estimates of soil loss due to water erosion in watersheds. Thus, the objective of this study was to evaluate the agroclimatic seasonality in the estimation of soil losses through RUSLE and to identify the factors that control erosion in the watershed of the Fragata stream. Rainfall erosivity (R) was calculated by means of precipitation data for four seasons and annual average. The soil erodibility factor (K) was obtained from soil information. The topographic factor (LS) was generated from the Digital Elevation Model (MDE) and the soil cover factor and conservationist practices (CP) through Landsat8/OLI satellite images. Seasonal variation had an effect on soil loss, with higher erosion rates in the summer and spring months. Soil losses between 5 and 50 Mg ha-1ano-1 were recorded in 24% of the BHAF, associated with periods of more erosive rainfall, higher slope and low vegetation cover. RUSLE factors with the greatest contribution to erosion were R, LS, and CP. The approach presented can be useful in quantifying soil losses in river basins.

Brazilian spotted fever: A spatial analysis of human cases and vectors in the state of São Paulo, Brazil.

Brazilian spotted fever (BSF) is a highly lethal disease caused by Rickettsia spp. and is transmitted by ticks of the genus Amblyomma. Understanding the epidemiology of BSF in each region can help direct health surveillance actions. The objective of this study was to determine the spatial distribution of vectors and the incidence of BSF in the state of São Paulo. Spatial analysis included confirmed BSF cases between 2009 and 2019; occurrences were registered by municipalities of the state. There were 752 confirmed BSF cases, with incidences ranging between 0.01 and 10.37/10,000 inhabitants. Moran's Global Index for BSF was 0.20 (p = .001), which was indicative of spatial dependence. Moran's map located a cluster of 20 high priority municipalities for BSF and showed that Amblyomma sculptum is the vector involved in Rickettsia rickettsii transmission in these locations. Spatial analysis identified clusters formed by 47, 20 and seven significant municipalities for the presence of A. sculptum, Amblyomma aureolatum and Amblyomma ovale vectors, respectively. Surveillance and prevention actions are necessary in areas that are at high risk for BSF and in areas where the presence of vectors was significant.

Conflito de uso e indicadores morfométricos para a gestão de política de uso do solo / Land use conflict and morphometric indicators for land use policy management

RESUMO Este trabalho propõe indicadores ambientais de políticas públicas com base na espacialização dos parâmetros morfométricos e de conflito de uso em áreas municipais. As técnicas de geoprocessamento de imagens orbitais em sistemas de informações geográficas foram utilizadas para analisar o banco de dados dos valores de cada parâmetro morfométrico da superfície terrestre - área, perímetro, comprimento da rede de drenagem, densidade de drenagem, número de canais, frequência de rios, declividade e coeficiente de rugosidade - e elaborar os mapas temáticos de uso atual, de uso potencial e de conflito de uso do solo. Os dados foram submetidos à análise estatística descritiva e exploratória multivariada. A espacialização dos valores obtidos da caracterização morfométrica gerou indicadores físicos ambientais que possibilitaram a diferenciação de áreas. O conhecimento do sistema hidrológico dessas regiões reflete o sistema natural de drenagem em seu comprimento. O número de canais e conflito de uso indicam áreas prioritárias para gestão ambiental e políticas de uso do solo. Os parâmetros morfométricos são potenciais indicadores ambientais.

ABSTRACT This study has the main objective to propose environmental indicators for public policies based on spatial distribution of morphometric characteristics and land-use conflicts in municipal areas. The techniques of satellite images in geographic information systems were used to analyze the database of the values of each morphometric parameter of the earth's surface: area, perimeter, length of the drainage system, drainage density, number of channels, river frequency, slope and roughness coefficient and to elaborate thematic maps of current land-use, potential land-use, and land-use conflicts. The data were submitted to descriptive and multivariate exploratory statistical analysis. The spatial distribution of values of morphometric characterization generated environmental physical indicators which enabled the differentiation of areas. The knowledge of the hydrological system in these regions reflects the natural drainage system along its length. The number of channels and the land-use conflicts indicate priority areas for environmental management and land use policies. The morphometric characteristics are potential environmental indicators.

Canine leishmaniasis in the semi-arid region of Pernambuco, northeastern Brazil: epidemiology, factors associated with seropositivity and spatial analysis / Leishmaniose visceral canina na região semiárida de Pernambuco, nordeste do Brasil: epidemiologia, fatores associados à soropositividade e análise espacial

Abstract This study aimed to determine the seroprevalence, factors associated with seropositivity to Leishmania infection in dogs and spatial analysis in six municipalities in the semiarid region of Pernambuco, Brazil. Blood samples were collected from 462 dogs, 77 in each municipality, and used for serological analysis [dual path platform (DPP®) and enzyme-linked immunosorbent assay (ELISA)]. Clinical signs of dogs were evaluated and associated factors for Leishmania infection were analyzed using robust Poisson regression model. A seroprevalence of 42.8% (198/462, IC: 95% = 38.6%-47.6%) was detected in dogs that tested positive in both tests, ranging from 29.8% to 55.8%, with higher prevalence in the municipality of Cabrobó (55.8%; P = 0.006). About 67% (132/198) of the seropositive dogs showed one or more clinical signs suggestive of canine leishmaniasis (CanL), such as lymphadenomegaly, skin lesions and conjunctivitis, which were associated with seropositivity. High seroprevalence levels were identified in urban and rural areas in all the municipalities, and the buffer for sand flies around cases covered almost these entire areas. Spatial analysis revealed a significant cluster, showing a relative risk of 1.88 in the urban area of Cabrobó. The higher density of seropositive dogs in urban areas indicates the need effective control measures against CanL to prevent the emergence of canine and human diseases.

Resumo Este estudo objetivou determinar a soroprevalência, fatores associados com a soropositividade da infecção por Leishmania em cães e análise espacial em seis municípios do semiárido de Pernambuco. Amostras de sangue foram coletadas de 462 cães, 77 em cada município, e utilizadas para análise sorológica [teste rápido imunocromatográfico (DPP®) e ensaio de imunoabsorção enzimática (ELISA)]. Os sinais clínicos dos cães foram avaliados, e os fatores associados à infecção por Leishmania foram analisados, ​​usando-se modelo robusto de regressão de Poisson. Foi detectada uma soroprevalência de 42,8% (198/462, IC: 95% = 38,6%-47,6%) em cães com resultados positivos em ambos os testes, variando de 29,8% a 55,8%, com maior prevalência no município de Cabrobó (55,8%; P = 0,006). Cerca de 67% (132/198) dos cães apresentaram um ou mais sinais clínicos sugestivos de CanL, como linfadenomegalia, lesões de pele e conjuntivite, os quais foram associados à soropositividade. Altos níveis de soroprevalência foram identificados nas áreas urbanas e rurais de todos os municípios, e os buffers da área de vôo do flebotomíneo em torno dos casos cobriam quase todas as áreas dos municípios. A análise espacial revelou um cluster significativo, mostrando um risco relativo de 1,88 na área urbana de Cabrobó. A maior densidade de casos em áreas urbanas indica a necessidade de medidas efetivas de controle contra o CanL, para evitar o surgimento da doença canina e humana.

Client-side versus server-side geographic data processing performance comparison: Data and code.

The data and code presented in this article are related to the research article entitled "Analysis of Server-side and Client-side Web-GIS data processing methods on the example of JTS and JSTS using open data from OSM and Geoportal" (Kulawiak et al., 2019). The provided 12 datasets include multi-point and multi-polygon data of different scales and volumes, representing real-world geographic features. The datasets cover the area of Tricity in northern Poland as well as Polish Exclusive Economic Zone of the Baltic Sea. They have been converted to a common Spherical Mercator projection coordinate system (EPSG:3857) and consist of vector features without attributes. They are provided in the form of single GeoJSON files containing multi-feature objects which can be processed by client-side as well as server-side algorithms in a single request. The provided javascript code exemplifies the application of those datasets for measurement of client-side and server-side geoprocessing performance by using algorithms implemented as part of Java Topology Suite (JTS) and Javascript Topology Suite (JSTS). The combination of data and code samples constitutes a universal benchmark for investigative analysis of geographic data processing algorithms and their implementations in different software system architectures.

Flow accumulation based method for the identification of erosion risk points in unpaved roads.

The unsuitable construction of unpaved roads has been causing problems related to the formation of erosive processes, sediments in watersheds, bogs, flooding, and holes. Presuming that the areas where flow accumulation intersects unpaved roads represent risk points, our objectives are (1) to develop a qualitative method based on the GIS software management tool (FlowAccRoad) for the identification of the intersection points between flow accumulation and roads and (2) to verify the discrepancy between the points of intersection produced by digital elevation models (DEM) accounting for different spatial resolutions. In the GIS environment, we used the Shuttle Radar Topography Mission (SRTM) and Goiania (GOI) digital elevation models for the modeling of flow accumulation and vectorization of the unpaved roads, both of which are based on the Bandeira Stream Watershed in Goiania, Goiás, Brazil. This highlights that 54 points of intersection between the flow accumulation and unpaved roads present problems related to erosive processes and quagmires, among others. The FlowAccRoad method identified the principal critical points observed in the field, using both the DEM of 30.4 m of spatial resolution (SRTM) and also of 4.8 m of spatial resolution (GOI). From the FlowAccRoad method, we observed that 91% of the risk points identified through the GOI DEM were located less than 20 m from valid points in the field by using GPS. Analyzing the SRTM DEM, only 45% of the critical risk points identified by the method were located less than 20 m from valid points in the field.

Valuation methodology of laminar erosion potential using fuzzy inference systems in a Brazilian savanna.

This study presents an approach on the evaluation of potential laminar erosion in the Ribeirão Sucuri Grande watershed. It is located in the northeast of the state of Goiás, Brazil, a conservation area under strong anthropogenic pressure. A Mamdani fuzzy inference system was designed using linguistic variables, pertinence functions, and a set of rules associated to a traditional laminar erosion prediction model through the environmental conditioners slope, erodibility, and degree of soil protection. The laminar erosion prediction model associated with fuzzy logic is a qualitative evaluation of erosive potential capable of being spatialized with a greater level of detail, increasing the traditional classification by two levels. The processing of environmental and soil conditioning factors using the fuzzy logic resulted in values between 2.5 and 9.1, which places the basin at a low to very high laminar erosion potential. The results indicate areas that demand a greater attention regarding soil management; 56.89% of the area has a medium to high laminar erosion and high to very high erosion (6.99%).