Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
PLOS Global Public Health|February 16, 2024
Stunting in the first year of life: Pathway analysis of a birth cohortMartha Mwangome, Moses Ngari, Daniella Brals, et al.
Science Advances|September 17, 2021
Plasma lipids and growth faltering: A longitudinal cohort study in rural Gambian childrenGerard Bryan Gonzales, Daniella Brals, Bakary Sonko, et al.
African Health Sciences|March 5, 2020
Impact of the community healthcare plan and the free maternity services programme on maternal and child healthcare utilisation in rural Kenya: a dairy farmer population-based studyDaniella Brals, Heleen Nelissen, Marijn van der List, et al.
Emerging Infectious Diseases|April 20, 2023
Influence of Sex and Sex-Based Disparities on Prevalent Tuberculosis, Vietnam, 2017-2018Hai Viet Nguyen, Daniella Brals, Edine Tiemersma, et al.
Clinical Nutrition (Edinburgh, Scotland)|October 24, 2020
The clinical use of longitudinal bio-electrical impedance vector analysis in assessing stabilization of children with severe acute malnutritionCéline Bourdon, Rosalie H Bartels, Emmanuel Chimwezi, et al.
The Journal of Pediatrics|April 30, 2023
Predicting Clinical Deterioration and Mortality at Differing Stages During Hospitalization: A Systematic Review of Risk Prediction Models in Children in Low- and Middle-Income CountriesDeborah A van den Brink, Isabelle S A de Vries, Myrthe Datema, et al.
BMC Medicine|September 20, 2021
Predicting the risk of mortality during hospitalization in sick severely malnourished children using daily evaluation of key clinical warning signsBijun Wen, Daniella Brals, Celine Bourdon, et al.
Clinical Nutrition ESPEN|March 16, 2026
Predictors of weight gain in under-five children with severe acute malnutrition: a machine learning analysis of a tertiary care hospital datasetShah Mohammad Fahim, Paraskevi Massara, Subhasish Das, et al.
BMJ Public Health|May 28, 2025
Predicting communities with high tuberculosis case-finding efficiency to optimise resource allocation in Pakistan: comparing the performance of a negative binomial spatial lag model with a Bayesian machine-learning modelChristina Mergenthaler, Jake D Mathewson, Stephanie Lako, et al.
BMJ Paediatrics Open|June 8, 2024
Dermatological changes in a prospective cohort of acutely ill, hospitalised Malawian children, stratified according to nutritional statusDeborah van den Brink, Kelvin Mponda, Debbie Thompson, et al.
Pageof 2