A monthly sub-national Harmonized Food Insecurity Dataset for comprehensive analysis and predictive modeling

• URL: http://arxiv.org/abs/2501.06076v2
• Date: Mon, 13 Jan 2025 10:42:59 GMT
• Title: A monthly sub-national Harmonized Food Insecurity Dataset for comprehensive analysis and predictive modeling
• Authors: Mélissande Machefer, Michele Ronco, Anne-Claire Thomas, Michael Assouline, Melanie Rabier, Christina Corbane, Felix Rembold,
• Abstract summary: This paper introduces the Harmonized Food Insecurity dataset (HFID), an open-source resource consolidating four key data sources. The HFID serves as a vital tool for food security experts and humanitarian agencies, providing a unified resource for analyzing food security conditions. The scientific community can also leverage the HFID to develop data-driven predictive models, enhancing the capacity to forecast and prevent future food crises.
• Score: 0.11292693568898363
• License:
• Abstract: Food security is a complex, multidimensional concept challenging to measure comprehensively. Effective anticipation, monitoring, and mitigation of food crises require timely and comprehensive global data. This paper introduces the Harmonized Food Insecurity Dataset (HFID), an open-source resource consolidating four key data sources: the Integrated Food Security Phase Classification (IPC)/Cadre Harmonis\'e (CH) phases, the Famine Early Warning Systems Network (FEWS NET) IPC-compatible phases, and the World Food Program's (WFP) Food Consumption Score (FCS) and reduced Coping Strategy Index (rCSI). Updated monthly and using a common reference system for administrative units, the HFID offers extensive spatial and temporal coverage. It serves as a vital tool for food security experts and humanitarian agencies, providing a unified resource for analyzing food security conditions and highlighting global data disparities. The scientific community can also leverage the HFID to develop data-driven predictive models, enhancing the capacity to forecast and prevent future food crises.

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