High-frequency collection of food systems data: Pilots in Rwanda and Guatemala

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dc.creatorManners, Rhys
dc.creatorMüller, Anna
dc.creatorJiménez, Daniel
dc.creatorMartínez, Jesús David
dc.date2022-12-22
dc.date2023-01-24T08:20:35Z
dc.date2023-01-24T08:20:35Z
dc.date.accessioned2026-06-27T13:38:00Z
dc.descriptionAs a part of CGIAR Research Initiative on Digital Innovation's Work Package 4, "Real-time Monitoring," digital agriculture and food systems scientists at IITA and Alliance of Bioversity International and CIAT engaged with demand partners in Rwanda and Guatemala to support their timely food security and risk management decisions using high-frequency data. Pilots were developed to collate high-frequency data on diet quality, food commodity flows, markets, and infrastructure networks and develop unprecedented insights into the dynamics of food environments. This new approach is expected to empower decision-makers with quality data, serving as a basis for early warning systems and timely interventions to address hunger and malnutrition. This report presents preliminary results achieved in 2022.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/127976
dc.identifier.urihttp://hdl.handle.net/123456789/65507
dc.languageen
dc.rightsOpen Access
dc.sourceManners, R.; Muller, A.; Jimenez, D.; Martinez, J. (2022) High-frequency collection of food systems data: Pilots in Rwanda and Guatemala. 15 p.
dc.subjectdata collection
dc.subjectdiet quality
dc.subjectfood systems
dc.subjectcolección de datos
dc.subjectcalidad de la dieta
dc.subjectsistemas alimentarios
dc.titleHigh-frequency collection of food systems data: Pilots in Rwanda and Guatemala
dc.typeReport

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