Peer-reviewed article
Heading toward a famine: modeling seasonality of malnutrition in Yemen, 2018-2023.
Zhou B, Marshak A, Chui KKH, Naumova EN, Boyd E ·
Summary
Written by AI, not yet AICS's view · claude-haiku-4-5-20251001This study analyzes child malnutrition patterns in Yemen between 2018 and 2023, using data from humanitarian agencies on food insecurity, conflict, and environmental factors. The researchers found that malnutrition follows clear seasonal patterns that align with peaks in food insecurity and environmental stress indicators like rainfall and vegetation loss. Understanding these seasonal characteristics could help predict and prevent famine conditions. The analysis treats malnutrition as a complex system affected by multiple interacting drivers rather than a single cause.
Key points
- Yemen faces one of the world's most severe child malnutrition and food insecurity crises
- Child malnutrition shows significant seasonal patterns synchronized with food insecurity peaks
- Environmental indicators including rainfall, temperature, and vegetation changes correlate with malnutrition seasonality
- Seasonal synchronization of malnutrition can serve as an early warning marker of emerging famine
- The analysis uses non-linear time series methods to understand malnutrition as part of a complex system
Limitations
This is a modeling and analysis study rather than an intervention evaluation, so it cannot tell us what actions are effective in reducing malnutrition. The document does not report the specific magnitude of seasonal effects or provide actionable prevention strategies based on the findings.
Abstract
Yemen continues to experience one of the most severe child malnutrition and food insecurity crises on the planet. Seasonal synchronization of malnutrition often serves as an early marker of emerging famine. In this study we compiled data collected by the humanitarian agencies on several potential drivers of malnutrition such as food insecurity, conflict events, and environmental indicators (rainfall, temperature, and normalized difference vegetation index) in Yemen from 2018 to 2023. We characterized the seasonality of malnutrition outcomes and explore spatiotemporal synchronization using non-linear time series analyses. Our findings demonstrate significant seasonal profiles in child malnutrition, which could be synchronized with the peak in food insecurity and peaks in environmental indicators. The quantification of seasonal characteristics in term of seasonal peaks and their amplitude pave the way to build strong foundation for deeper understanding of famine evolution from a complex system perspective by defining processes and triggers that amplify malnutrition and escalate faming formation.