Impact of COVID-19 pandemic in the Brazilian maternal mortality ratio: A comparative analysis of Neural Networks Autoregression, Holt-Winters exponential smoothing, and Autoregressive Integrated Moving Average models.

Background And Objectives: The acute respiratory infection caused by severe acute respiratory syndrome coronavirus disease (COVID-19) has resulted in increased mortality among pregnant, puerperal, and neonates. Brazil has the highest number of maternal deaths and a distressing fatality rate of 7.2%, more than double the country's current mortality rate of 2.

Toward Precision Nutrition: Commercial Infant Formulas and Human Milk Compared for Stereospecific Distribution of Fatty Acids Using Metabolomics.

Precision nutrition and nutrimetabolomics are emerging omics technology applications in public health. In this context, the infant formula (IF) is a manufactured foodstuff that aims to match the composition of human milk (HM), especially the lipid profile. The IF manufacturers have achieved relative success in matching the predominant fatty acid (FAs) profiles, but the stereospecific structures of the triacylglycerides in HM require deeper analyses with system sciences.