<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Liang L</submitter><funding>United States Agency for International Development</funding><pagination>e0241791</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7644081</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>15(11)</volume><pubmed_abstract>Household food insecurity remains a major policy challenge in low-income countries. Identifying accurate measures that are relatively easy to collect has long been an important priority for governments seeking to better understand and fund solutions for communities in remote settings. Conventional approaches based on surveys can be time-consuming and costly, while data derived from satellite imagery represent proxies focused on biological processes (such as rainfall and crop growth) lack granularity in terms of human behaviors. As a result, there has recently been interest in tapping into the large digital footprint offered by mobile phone usage. This paper explores empirical relationships between data relating to mobile phones (ownership and spending on service use), and food insecurity i</pubmed_abstract><journal>PloS one</journal><pubmed_title>Using mobile phone data helps estimate community-level food insecurity: Findings from a multi-year panel study in Nepal.</pubmed_title><pmcid>PMC7644081</pmcid><funding_grant_id>AID-OAA-L-10-00006</funding_grant_id><pubmed_authors>Ghosh S</pubmed_authors><pubmed_authors>Liang L</pubmed_authors><pubmed_authors>Shrestha R</pubmed_authors><pubmed_authors>Webb P</pubmed_authors></additional><is_claimable>false</is_claimable><name>Using mobile phone data helps estimate community-level food insecurity: Findings from a multi-year panel study in Nepal.</name><description>Household food insecurity remains a major policy challenge in low-income countries. Identifying accurate measures that are relatively easy to collect has long been an important priority for governments seeking to better understand and fund solutions for communities in remote settings. Conventional approaches based on surveys can be time-consuming and costly, while data derived from satellite imagery represent proxies focused on biological processes (such as rainfall and crop growth) lack granularity in terms of human behaviors. As a result, there has recently been interest in tapping into the large digital footprint offered by mobile phone usage. This paper explores empirical relationships between data relating to mobile phones (ownership and spending on service use), and food insecurity i</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020</publication><modification>2025-04-26T04:18:10.582Z</modification><creation>2020-11-22T09:39:46Z</creation></dates><accession>S-EPMC7644081</accession><cross_references><pubmed>33152006</pubmed><doi>10.1371/journal.pone.0241791</doi></cross_references></HashMap>