Socio-economic inequalities and COVID-19 incidence and mortality in Brazilian children: a nationwide register-based study

OBJECTIVES: This study aimed to estimate the incidence and mortality rates of coronavirus disease 2019 (COVID-19) in Brazilian children and to analyze its relationship with socio-economic inequalities in a state-level analysis. STUDY DESIGN: This is a nationwide register-based study. METHODS: To estimate the incidence and mortality rates of COVID-19 in Brazilian children aged 0-19 years, we extracted data of confirmed cases and deaths from the de-identified microdata catalog and official bulletins of the 27 Brazilian states' health department websites until September 3, 2020. Social and economic inequalities were evaluated using the Social Vulnerability Index and Gini coefficient, respectively. The relationship between COVID-19 rates in Brazilian children and socio-economic vulnerability at the state level was analyzed using Spearman's rank correlation. RESULTS: Of the 3,998,055 individuals with COVID-19 included in our database, 335,279 (8.4%) were children aged 0-19 years. Eight hundred deaths in children were registered, which accounts for about 0.7% of the deaths related to COVID-19 in the country. There were important differences in the incidence and mortality rates among Brazilian regions, and a correlation between mortality rates and social (ρ = 0.519; P-value = 0.007; effect magnitude: moderate) and economic (ρ = 0.615; P-value < 0.001; effect magnitude: strong) inequalities was found in a state-level analysis. CONCLUSIONS: This population-based study showed important regional differences in COVID-19 estimates for children in Brazil and a relationship between mortality rates and socio-economic inequalities. The knowledge of sociogeographic differences in the estimates of COVID-19 is crucial to planning societal strategies and local decision-making to mitigate the effects of disease in the pediatric population

Physiological quality of soybean and wheat seeds produced with alternative potassium sources

O uso de fontes não convencionais para fornecimento de K às plantas tem sido amplamente estudado, mas os efeitos de materiais alternativos na qualidade fisiológica das sementes não são conhecidos. Este estudo teve como objetivo avaliar a qualidade fisiológica de sementes de soja e trigo em função da aplicação fontes de potássio em uma sucessão de culturas. O delineamento experimental foi o de blocos ao acaso com quatro repetições. Os tratamentos constaram de três fontes de K (KCl, rocha alcalina e fonolito moído, com 58%, 11% e 8.42% de K2O, respectivamente) aplicados em quatro doses (0, 25, 50 e 100 kg K2O ha-1). As doses de potássio foram aplicadas na soja e seu efeito residual foi avaliado na cultura do trigo, cultivado em sucessão. Logo após a colheita, as sementes de soja e trigo foram avaliadas pelos testes de teor de água, massa de sementes, germinação, primeira contagem, condutividade elétrica, comprimento de plântulas e massa da matéria seca de plântulas. Plantas de soja adubadas com fontes alternativas para fornecimento de K produzem sementes com maior massa e menor permeabilidade de membranas comparado às com KCl; maior qualidade fisiológica de sementes de soja e massa de sementes de trigo são obtidas com maiores doses de K2O independente da fonte.The use of unconventional sources of K for plants has been widely studied, but the effects of alternative materials on physiological seed quality are still relatively unknown. The objective of this study was to evaluate the physiological quality of soybean and wheat seeds after using different potassium sources in a crop succession. The experimental design was a completely randomized block with four replications. Treatments consisted of three K sources (KCl, alkaline rock and ground phonolite, with 58%, 11% and 8.42% of K2O, respectively) applied in four doses (0, 25, 50 and 100 kg K2O ha-1). Potassium doses were applied in soybean and their residual effects were evaluated on the following wheat crop. Soybean and wheat seeds were evaluated immediately after harvesting by tests for moisture content, seed weight, germination, first count, electrical conductivity, seedling length and seedling dry matter. Soybean plants fertilized with alternative sources of K produced heavier seeds with a lower coat permeability compared to KCl; the physiological quality of soybean seeds and the weight of wheat seeds increase due to higher K2O doses, independently of their source.UNESP FCA Department of Plant Production/AgricultureUNESP FCA Department of Plant Production/Agricultur

Morphological Interpretation of Reflectance Spectrum (MIRS) using libraries looking towards soil classification

The search for tools to perform soil surveying faster and cheaper has led to the development of technological innovations such as remote sensing (RS) and the so-called spectral libraries in recent years. However, there are no studies which collate all the RS background to demonstrate how to use this technology for soil classification. The present study aims to describe a simple method of how to classify soils by the morphology of spectra associated with a quantitative view (400-2,500 nm). For this, we constructed three spectral libraries: (i) one for quantitative model performance; (ii) a second to function as the spectral patterns; and (iii) a third to serve as a validation stage. All samples had their chemical and granulometric attributes determined by laboratory analysis and prediction models were created based on soil spectra. The system is based on seven steps summarized as follows: i) interpretation of the spectral curve intensity; ii) observation of the general shape of curves; iii) evaluation of absorption features; iv) comparison of spectral curves between the same profile horizons; v) quantification of soil attributes by spectral library models; vi) comparison of a pre-existent spectral library with unknown profile spectra; vii) most probable soil classification. A soil cannot be classified from one spectral curve alone. The behavior between the horizons of a profile, however, was correlated with its classification. In fact, the validation showed 85 % accuracy between the Morphological Interpretation of Reflectance Spectrum (MIRS) method and the traditional classification, showing the importance and potential of a combination of descriptive and quantitative evaluations