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

Food insecurity 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 Harmonisé (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 provides comprehensive spatial and temporal coverage to the extent permitted by the available data. It serves as a vital tool for food insecurity experts and humanitarian agencies, providing a unified resource for analyzing food insecurity conditions and highlighting global data disparities and gaps. The scientific community can also leverage the HFID to develop data-driven predictive models, enhancing the capacity to forecast and prevent future food crises.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2025-05-05
DOI
https://doi.org/10.1038/s41597-025-05034-4
Citations
3
Primary Topic
Food Security and Health in Diverse Populations
Type
article
Field-Weighted Citation Impact
8.45
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Anne‐Claire Thomas, Mélissande Machefer, Felix Rembold, Michele Ronco et al.
3 citations
Scientific Data
Food Security and Health in Diverse Populations
8.45
article

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

Anne‐Claire Thomas, Mélissande Machefer, Felix Rembold, Michele Ronco, Michael Assouline, Melanie Rabier, Christina Corbane
article en
3 citations

Abstract

Food insecurity 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 Harmonisé (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 provides comprehensive spatial and temporal coverage to the extent permitted by the available data. It serves as a vital tool for food insecurity experts and humanitarian agencies, providing a unified resource for analyzing food insecurity conditions and highlighting global data disparities and gaps. The scientific community can also leverage the HFID to develop data-driven predictive models, enhancing the capacity to forecast and prevent future food crises.

Scientific DataVol. 12(1)
European Commission (BE), International Humanitarian University (UA), Joint Research Centre (IT), Business Innovation Centre (IT), Joint Research Centre (DE), Action Contre la Faim (FR)
Zero hunger
Openalex Percentile: Top 3%
Food Security and Health in Diverse Populations
8.45
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A monthly sub-national Harmonized Food Insecurity Dataset for comprehensive analysis and predictive modeling — Anne‐Claire Thomas, Mélissande Machefer, et al. · Scientific Data (2025) | TGRS Research Map | TGRS