A dengue tem se difundido rapidamente por diversas regiões nos últimos anos, levando ao surgimento de epidemias. Nesse contexto, o geoprocessamento tem grande aplicabilidade, pois auxilia no monitoramento, avaliação e planejamento em situações de risco epidemiológico. Objetivou-se, portanto, realizar uma prospecção baseada na busca de artigos científicos sobre a utilização de geoprocessamento no estudo de casos de dengue. A pesquisa foi do tipo exploratória documental, com realização de buscas a artigos publicados entre os anos de 2010 e 2020 no Science Direct, PubMed, Scielo, Web of Science e Google Scholar. Para refinar a busca, foram utilizados termos específicos, operadores booleanos e técnicas de truncamento no resumo, título e palavras-chave. Foram selecionados artigos que utilizaram o geoprocessamento em estudos de casos de dengue. Encontraram-se 398 artigos, sendo que 51 estudos foram publicados no ano de 2020. O Brasil foi o país que se destacou com mais publicações. O programa de mapeamento ArcGis foi o mais utilizado nos estudos. Apesar da dengue ser uma enfermidade que afeta muitos lugares, há uma carência de pesquisa sobre o uso de geoprocessamento relacionado à doença. Este estudo mostrou que mais pesquisas voltadas para o mapeamento de casos de dengue em áreas endêmicas ainda precisam ser realizadas.

Nutrients contained in soil play a fundamental role in plants development. Then, we hypothesize that different soil fertilization regimes modify soil chemical attributes and maize grains yield. This study aimed to evaluate soil chemical attributes in different soil fertilization regimes and their relation to maize grains yield. The experiment was performed in Maranhão state, Brazil. The area was divided into 32 plots of 4x10 m with seven treatments and the control, with four replicates (R) in a randomized block design. The following treatments were performed: Gliricidia sepium – gliricidia (G), potassium (K), humic acid (HA), humic acid+potassium (HA+K), potassium+gliricidia (K+G), humic acid+gliricidia (HA+G), humic acid+potassium+gliricidia (HA+K+G) and uncovered soil (US). Each plot was cropped with maize (Zea mays L.) and the grains yield was estimated. Soil samples were collected from each plot at depths of 0–5 cm, 5–10 cm and 10–20 cm. Potential acidity, pH, soil organic carbon (SOC), exchangeable K+, Ca2+ and Mg2+, available P, cation exchange capacity (CEC), sum of basic cations (SBC) and base saturation (BS) were determined. One-way ANOVA with Duncan post-test and principal component analysis (PCA) were used. Exchangeable K+, Ca2+ and Mg2+, pH and CEC were related to maize grains yield in upper soil layer especially in plots with gliricidia. Then, this research confirms the hypothesis that different soil fertilization regimes modify soil chemical attributes and maize grains yield.

We hypothesize that there is a linkage among different soil fertilization regimes, soil chemical attributes and maize grains yield. We aimed to evaluate the relationships between different soil fertilization regimes, soil chemical properties and maize grains yield. The experiment was performed in northeastern Brazil, in a randomized block design, at an area divided into 24 plots with six treatments and four replicates (Nitrogen (N); Leucaena (L); Nitrogen+Leucaena (N+L); Humic Acid+Leucaena (HA+L); Humic Acid+Nitrogen (HA+N) and Humic Acid+Nitrogen+Leucaena (HA+N+L)). Each plot was cropped with maize (Zea mays L.) and the grains yield was estimated. Soil samples were collected at depths of 0–5 cm, 5–10 cm and 10–20 cm. Potential acidity, pH, soil organic carbon (SOC), available phosphorus, exchangeable potassium, calcium and magnesium, cation exchange capacity (CEC), sum of basic cations (SBC) and base saturation (BS) were determined. Principal component analysis (PCA) was used to correlate soil chemical attributes with maize yield. Calcium, magnesium, available P and SBC were related to the maize grains yield in upper soil layer, especially at nitrogen fertilization. This research confirms the hypothesis that there is a linkage between different soil fertilization regimes, soil properties and the maize grains yield.