4 papers
Context-Conditioned Generative Models Enable Subnational Refinement of Sparse Humanitarian Surveys
Federica Sibilla, Vasiliki Voukelatou, Duccio Piovani +4
Data scarcity limits inference in many scientific and policy domains. Survey data are essential for decision-making, but sparse samples often fail to capture fine spatial granulari…
Mapping Subnational Vulnerability to Inadequate Micronutrient Intake using a Bayesian Small Area Estimation Framework
Sahoko Ishida, Mohammed Osman, Ziyao Cui +8
Inadequate dietary micronutrient intake is a significant risk factor for deficiency and remains a major global health challenge. Nutrition programmes and interventions are most eff…
Real-time small area estimation of food security in Zimbabwe: integrating mobile-phone and face-to-face surveys using joint multilevel regression and poststratification
Sahoko Ishida, Adam Howes, Valerie Bradley +14
Real-time, fine-grained monitoring of food security is essential for enabling timely and targeted interventions, thereby supporting the global goal of achieving zero hunger - a key…
Forecasting trends in food security with real time data
Joschka Herteux, Christoph Räth, Giulia Martini +4
Early warning systems are an essential tool for effective humanitarian action. Advance warnings on impending disasters facilitate timely and targeted response which help save lives…