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http://dx.doi.org/10.1016/j.disamonth.2017.03.015 | DOI Listing |
J Infect Dev Ctries
December 2024
Federal University of São João Del Rei, Dona Lindu Campus, Sebastião Gonçalves Coelho Street, 400, Chanadour, 35501-296 Divinópolis, MG, Brazil.
Introduction: We assessed the prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and associated socio-occupational factors among delivery riders from a Brazilian city at two time points during the pandemic.
Methodology: Surveys for antibody and viral RNA testing were conducted from November 2020 to January 2021, and from March to May 2021 in a group of 117 delivery riders. A questionnaire on socio-occupational characteristics and coronavirus disease 2019 (COVID-19) preventive measures was completed.
Arch Public Health
January 2025
Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Gran Via de les Corts Catalanes, 587 attic., Barcelona, 08007, Spain.
Objective: To analyze the sociostructural determinants associated with mental health problems during the lockdown period among populations residing in Brazil, Chile, Ecuador, Mexico, Peru, and Spain who lived with minors or dependents, approached from a gender perspective.
Methods: A cross-sectional study was conducted in six participating countries via an adapted, self-managed online survey. People living with minors and/or dependents were selected.
BMC Pregnancy Childbirth
January 2025
Editorial Board of Jiangsu Medical Journal, the First Affiliated Hospital With Nanjing Medical University, Nanjing, 210029, China.
Background: Gestational diabetes mellitus is hyperglycemia in special populations (pregnant women), however gestational diabetes mellitus (GDM) not only affects maternal health, but also has profound effects on offspring health. The prevalence of gestational diabetes in my country is gradually increasing.
Objective: To study the application effect of self-transcendence nursing model in GDM patients.
BMC Surg
January 2025
Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.
Background: Metabolic and bariatric surgery (MBS) is a suitable solution for the treatment of morbid obesity. Investigating an MBS method that has the best outcomes has always been the main concern of physicians. The current study aimed to compare nutritional, anthropometric, and psychological complications of individuals undergoing various MBS Techniques.
View Article and Find Full Text PDFSci Rep
January 2025
Faculty of Engineering, Université de Moncton, Moncton, NB, E1A3E9, Canada.
Diabetes is a growing health concern in developing countries, causing considerable mortality rates. While machine learning (ML) approaches have been widely used to improve early detection and treatment, several studies have shown low classification accuracies due to overfitting, underfitting, and data noise. This research employs parallel and sequential ensemble ML approaches paired with feature selection techniques to boost classification accuracy.
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