High-frequency monitoring enables machine learning–based forecasting of acute child malnutrition for early warning

Proceedings of the National Academy of Sciences, Volume 122, Issue 23, June 2025.
SignificanceAs the number and share of people suffering from food insecurity worldwide has risen over the past decade, the humanitarian response community increasingly seeks advances in early warning systems to target populations who need food assistance…
Read More