A5041131099- Nutritional Studies and Diet
- Obesity, Physical Activity, Diet
- Mobile Health and mHealth Applications
- Child Nutrition and Water Access
- Poverty, Education, and Child Welfare
- Opportunistic and Delay-Tolerant Networks
- ICT in Developing Communities
- Cardiovascular Health and Risk Factors
- Food Security and Health in Diverse Populations
- Energy and Environment Impacts
- HIV/AIDS Impact and Responses
- Agriculture and Rural Development Research
- Global Maternal and Child Health
- Mobile Ad Hoc Networks
University of Ghana
2020-2024
Noguchi Memorial Institute for Medical Research
2022-2024
Ghana Institute of Management and Public Administration
2017
Important gaps exist in the dietary intake of adolescents low- and middle-income countries (LMICs), partly due to expensive assessment methods inaccuracy portion-size estimation. Dietary tools leveraging mobile technologies but only a few have been validated LMICs.We Food Recognition Assistance Nudging Insights (FRANI), artificial intelligence (AI) application adolescent females aged 12-18 y (n = 36) Ghana, against weighed records (WR), multipass 24-hour recalls (24HR).Dietary was assessed...
There is a gap in data on dietary intake of adolescents low- and middle-income countries (LMICs). Traditional methods for assessment are resource intensive lack accuracy with regard to portion-size estimation. Technology-assisted tools have been proposed but few validated feasibility use LMICs.
This study was performed to evaluate the effect of a six-week nutrition education intervention on knowledge, attitude, practices, and status school-age children (aged 6–12 years) in basic schools Ghana. Short-term effects training sessions teachers caregivers were also assessed. Pre-post controlled design used program. Intervention groups had significantly higher knowledge scores (8.8 ± 2.0 vs. 5.9 2.1, P < 0.0001) compared controls lower primary level. A proportion group strongly agreed...
Gaps persist in the data on diets and validity of dietary assessment methods youth low-income middle-income countries (LMICs) due to costs constraints. Although computer vision-assisted tools have been proposed, limited evidence exists their LMICs.
Dietary diversity is generally considered as a good indicator of nutrient adequacy and influenced by various factors at the national, household, individual levels.The present study sought to determine relationships between household food insecurity, primary caregivers' nutrition knowledge, dietary school-aged children in Ghana.This forms part longitudinal conducted Ayawaso West Municipal district Accra (urban setting) Upper Manya Krobo (rural Ghana. Data were collected from total 116...
BackgroundAdolescent nutrition has faced a policy neglect, partly due to the gaps in dietary intake data for this age group. The Food Recognition Assistance and Nudging Insights (FRANI) is smartphone application validated assessment influence users towards healthy food choices.ObjectivesAssessing feasibility (adherence, acceptability usability) of FRANI its effects on choices diet quality female adolescents Vietnam.MethodsAdolescents (n=36) were randomly selected from public school allocated...
Introduction HIV-exposed children, even when uninfected, have a greater risk of malnutrition than unexposed counterparts. WHO guidelines recommend children aged 6–23 months be fed variety foods to meet nutrient requirements. This study aimed determine infant and young child feeding (IYCF) practices among under 2 years old enrolled in dietary intervention explore correlates the IYCF indicators associations between nutritional status. Methodology Six hundred eighty mother–child pairs were...
Unhealthy diets are a critical global concern while dietary measure methods time consuming and expensive. There is limited evidence that phone-based interventions can improve nutrition data collection quality, especially for adolescents in developing countries. We developed an artificial-intelligence-based phone application called Food Recognition Assistance Nudging Insights (FRANI) to address these problems. FRANI recognize foods images, track food consumption, display statistics use...
Disasters are characterized by the destruction of infrastructure that support communication, rendering communication impossible. This project seeks to design and develop a mobile application create an opportunistic network using phones as nodes, identify location victims establish between rescuers victims. The system was designed Android Wi-Fi Direct protocol for Google services in identifying victim's location. results this work has demonstrated both responders can be resourced during disaster easy