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Background: To address gaps in coverage and quality of nutrition services, Alive & Thrive (A&T) strengthened the delivery of maternal nutrition interventions through government antenatal care (ANC) services in Uttar Pradesh, India.
Dominant clade-featured SARS-CoV-2 co-occurring mutations reveals plausible epistasis: An in silico based hypothetical model
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has evolved into eight fundamental clades with four of these clades (G, GH, GR, and GV) globally prevalent in 2020.
Food consumption–production response to agricultural policy and macroeconomic change in Nigeria
Achieving agricultural transformation and farmer resilience in resource‐dependent developing countries like Nigeria is complicated by volatile macroeconomic conditions, which disrupt agricultural supply chains through income, foreign exchange, and
The impacts of COVID-19 on migrants, remittances, and poverty in China: A microsimulation analysis
Chinese migrant workers are very exposed to the shocks caused by the COVID-19 pandemic. Falling remittances adversely affect their families who rely on remittance incomes.
Rice cultivation in the NLPR regions has moved to higher latitudes.
Quantitative assessment of agricultural sustainability reveals divergent priorities among nations
Agriculture is fundamental to all three pillars of sustainability, environment, society, and economy. However, the definition of sustainable agriculture and the capacities to measure it remain elusive.
We present results from large ensembles of projected twenty-first century changes in seasonal precipitation and near-surface air temperature for the nation of South Africa.
Storage is an important aspect of food security in developing countries. Therefore, it is crucial for farmers to have access to sustainable storage technologies to cope with storage losses.
Impact of market reforms on technology adoption and profitability: The case of tomato farmers in India
Market reforms affect the development of agribusiness and remain contentious in many developing countries. This study contributes to the debate and the lack of evidence on the impact of marketing reforms on the welfare of farmers.
Advances in remote sensing and machine learning enable increasingly accurate, inexpensive, and timely estimation of poverty and malnutrition indicators to guide development and humanitarian agencies’ programming.