For decades, in-person data collection has been the standard modality for nationally and sub-nationally representative socio-economic survey data in low- and middle-income countries.
There is a growing literature documenting the link between parental migration and children’s health. However, few studies have explained the underlying mechanism of this observed relationship.
This paper investigates the associations between agricultural diversification and dietary diversity among men, women and children of farm households in Bangladesh.
Research has shown mixed findings on the link between production diversity and household dietary diversity. The question is whether this link holds for children.
The COVID-19 pandemic has disproportionately affected vulnerable populations.
Non-communicable diseases (NCDs) account for the largest share of the global disease burden, and increasing evidence shows that zinc deficiency (ZD) contributes to NCDs by inducing oxidative stress, insulin resistance, and impaired lipid metabolis
Local value-addition in developing countries is often aimed at for upgrading of agricultural value chains, since it is assumed that doing so will make farmers better off.
Acid soils are a major constraint to agricultural productivity in many parts of sub-Saharan Africa, including Ethiopia.
Considerable literature from low- and lower-middle-income countries (LLMICs) links maternal employment to child nutritional status.
Civil conflict began in Ethiopia in November 2020 and has reportedly caused major disruptions in access to health services, food, and related critical services, in addition to the direct impacts of the conflict on health and well-being.
Intoduction: This study aims to investigate the health-related quality of life and coping strategies among COVID-19 survivors in Bangladesh.
This study investigates the financial cost of increasing the diversity of cereal grains in livestock feed rations.
Uttar Pradesh, situated in the northern part of India, accounts for 7.3 percent of the country’s area, includes 75 districts subdivided into 822 blocks, 97,914 populated villages, and 915 cities and towns (Uttar Pradesh State Government 2017).