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Leveraging digital tools and crowdsourcing approaches to generate high-frequency data for diet quality monitoring at population scale in Rwanda

dc.contributor.authorManners, R.
dc.contributor.authorAdewopo, J.
dc.contributor.authorNiyibituronsa, M.
dc.contributor.authorRemans, R.
dc.contributor.authorGhosh, A.
dc.contributor.authorSchut, M.
dc.contributor.authorEgoeh, S.G.
dc.contributor.authorKilwenge, R.
dc.contributor.authorFraenzel, A.
dc.date.accessioned2022-11-24T09:28:12Z
dc.date.available2022-11-24T09:28:12Z
dc.date.issued2022-01-07
dc.identifier.citationManners, R., Adewopo, J., Niyibituronsa, M., Remans, R., Ghosh, A., Schut, M., ... & Fraenzel, A. (2022). Leveraging digital tools and crowdsourcing approaches to generate high-frequency data for diet quality monitoring at population scale in Rwanda. Frontiers in Sustainable Food Systems, 5: 804821, 1-14.
dc.identifier.issn2571-581X
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7925
dc.description.abstractDiet quality is a critical determinant of human health and increasingly serves as a key indicator for food system sustainability. However, data on diets are limited, scattered, often project-dependent, and current data collection systems do not support high-frequency or consistent data flows. We piloted in Rwanda a data collection system, powered by the principles of citizen science, to acquire high frequency data on diets. The system was deployed through an unstructured supplementary service data platform, where respondents were invited to answer questions regarding their dietary intake. By combining micro-incentives with a normative nudge, 9,726 responses have been crowdsourced over 8 weeks of data collection. The cost per respondent was <$1 (system set-up, maintenance, and a small payment to respondents), with interactions taking <15min. Exploratory analyses show that >70% of respondents consume tubers and starchy vegetables, leafy vegetables, fruits, legumes, and wholegrains. Women consumed better quality diets than male respondents, revealing a sex-based disparity in diet quality. Similarly, younger respondents (age 24 years) consumed the lowest quality diets, which may pose significant risks to their health and mental well-being. Middle-income Rwandans were identified to have consumed the highest quality diets. Long-term tracking of diet quality metrics could help flag populations and locations with high probabilities of nutrition insecurity, in turn guiding relevant interventions to mitigate associated health and social risks.
dc.description.sponsorshipCGIAR Big Data Platform
dc.description.sponsorshipBelgian Directorate General for Development Cooperation and Humanitarian Aid
dc.format.extent1-14
dc.language.isoen
dc.subjectDiet
dc.subjectNutrition
dc.subjectMonitoring
dc.subjectFood Security
dc.subjectGrain Legumes
dc.subjectRwanda
dc.titleLeveraging digital tools and crowdsourcing approaches to generate high-frequency data for diet quality monitoring at population scale in Rwanda
dc.typeJournal Article
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationRwanda Agriculture and Animal Resources Development Board
cg.contributor.affiliationAlliance of Bioversity International and CIAT
cg.contributor.affiliationWageningen University and Research Centre
cg.contributor.affiliationVIAMO, Ghana
cg.contributor.affiliationIndependent Researcher, Kenya
cg.coverage.regionAfrica
cg.coverage.regionCentral Africa
cg.coverage.countryRwanda
cg.coverage.hubCentral Africa Hub
cg.researchthemeNatural Resource Management
cg.researchthemeSocial Science and Agribusiness
cg.identifier.bibtexciteidMANNERS:2022
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectBaseline Survey
cg.iitasubjectNutrition
cg.journalFrontiers in Sustainable Food Systems
cg.notesOpen Access Journal; Published online: 07 Jan 2022
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.3389/fsufs.2021.804821
cg.iitaauthor.identifierRhys: 0000-0003-0213-5462
cg.iitaauthor.identifierJulius Adewopo: 0000-0003-4831-2823
cg.iitaauthor.identifierMarc Schut: 0000-0002-3361-4581
cg.futureupdate.requiredNo
cg.identifier.issue804821
cg.identifier.volume5


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