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Examining food insecurity and areas with unmet food needs during COVID-19: A geospatial, community-specific approach

Food insecurity is a public health issue that has increased in the U.S. since the 2020 COVID-19 pandemic. Understanding how this increase occurs locally is crucial in informing appropriate food insecurity-related responses. Analyzing 2-1-1 call data is one way to examine food insecurity-related need...

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Autores principales: Janda, Kathryn M., Hood, Raven, Price, Amy, Night, Samantha, Marty, William Edwin, Rohlich, Amanda, Hanson, Kacey, Espinoza, Marianna, van den Berg, Alexandra E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8341054/
https://www.ncbi.nlm.nih.gov/pubmed/34367719
http://dx.doi.org/10.5304/jafscd.2021.103.017
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author Janda, Kathryn M.
Hood, Raven
Price, Amy
Night, Samantha
Marty, William Edwin
Rohlich, Amanda
Hanson, Kacey
Espinoza, Marianna
van den Berg, Alexandra E.
author_facet Janda, Kathryn M.
Hood, Raven
Price, Amy
Night, Samantha
Marty, William Edwin
Rohlich, Amanda
Hanson, Kacey
Espinoza, Marianna
van den Berg, Alexandra E.
author_sort Janda, Kathryn M.
collection PubMed
description Food insecurity is a public health issue that has increased in the U.S. since the 2020 COVID-19 pandemic. Understanding how this increase occurs locally is crucial in informing appropriate food insecurity-related responses. Analyzing 2-1-1 call data is one way to examine food insecurity-related needs at a zip code level. The purpose of this work was to: (1) examine overall call trend data to 2-1-1 from March through July 2019 and March through July 2020, (2) examine changes in food need call volume to 2-1-1 during COVID-19 by zip code, and (3) identify areas with unmet food needs during COVID-19 in central Texas. Data for 2-1-1 calls from Travis County zip codes for March through July 2020 were compared to calls for March through July 2019 and categorized by reason for calling. Descriptive statistics and paired t-tests were used to analyze food need calls by zip code and mapped using ArcGIS. Communities with high food call volume and no emergency food assets located within the zip code were categorized as areas with unmet food needs. Results indicated there were more overall calls to 2-1-1 in 2020 (N=37,572) than in 2019 (N=28,623), and significantly more food need calls in 2020 than in 2019 (p<0.01). Eastern Travis County, a racially and ethnically diverse and lower-income area, had the largest increase in food need calls. Two zip codes were identified as having unmet food needs, which informed the strategic placement of emergency food assets. This study illustrates how 2-1-1 data can result in rapid translation of research to policy and program implementation.
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spelling pubmed-83410542021-08-05 Examining food insecurity and areas with unmet food needs during COVID-19: A geospatial, community-specific approach Janda, Kathryn M. Hood, Raven Price, Amy Night, Samantha Marty, William Edwin Rohlich, Amanda Hanson, Kacey Espinoza, Marianna van den Berg, Alexandra E. J Agric Food Syst Community Dev Article Food insecurity is a public health issue that has increased in the U.S. since the 2020 COVID-19 pandemic. Understanding how this increase occurs locally is crucial in informing appropriate food insecurity-related responses. Analyzing 2-1-1 call data is one way to examine food insecurity-related needs at a zip code level. The purpose of this work was to: (1) examine overall call trend data to 2-1-1 from March through July 2019 and March through July 2020, (2) examine changes in food need call volume to 2-1-1 during COVID-19 by zip code, and (3) identify areas with unmet food needs during COVID-19 in central Texas. Data for 2-1-1 calls from Travis County zip codes for March through July 2020 were compared to calls for March through July 2019 and categorized by reason for calling. Descriptive statistics and paired t-tests were used to analyze food need calls by zip code and mapped using ArcGIS. Communities with high food call volume and no emergency food assets located within the zip code were categorized as areas with unmet food needs. Results indicated there were more overall calls to 2-1-1 in 2020 (N=37,572) than in 2019 (N=28,623), and significantly more food need calls in 2020 than in 2019 (p<0.01). Eastern Travis County, a racially and ethnically diverse and lower-income area, had the largest increase in food need calls. Two zip codes were identified as having unmet food needs, which informed the strategic placement of emergency food assets. This study illustrates how 2-1-1 data can result in rapid translation of research to policy and program implementation. 2021-06-24 2021 /pmc/articles/PMC8341054/ /pubmed/34367719 http://dx.doi.org/10.5304/jafscd.2021.103.017 Text en https://creativecommons.org/licenses/by/4.0/Published by the Lyson Center for Civic Agriculture and Food Systems. Open access under CC-BY license.
spellingShingle Article
Janda, Kathryn M.
Hood, Raven
Price, Amy
Night, Samantha
Marty, William Edwin
Rohlich, Amanda
Hanson, Kacey
Espinoza, Marianna
van den Berg, Alexandra E.
Examining food insecurity and areas with unmet food needs during COVID-19: A geospatial, community-specific approach
title Examining food insecurity and areas with unmet food needs during COVID-19: A geospatial, community-specific approach
title_full Examining food insecurity and areas with unmet food needs during COVID-19: A geospatial, community-specific approach
title_fullStr Examining food insecurity and areas with unmet food needs during COVID-19: A geospatial, community-specific approach
title_full_unstemmed Examining food insecurity and areas with unmet food needs during COVID-19: A geospatial, community-specific approach
title_short Examining food insecurity and areas with unmet food needs during COVID-19: A geospatial, community-specific approach
title_sort examining food insecurity and areas with unmet food needs during covid-19: a geospatial, community-specific approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8341054/
https://www.ncbi.nlm.nih.gov/pubmed/34367719
http://dx.doi.org/10.5304/jafscd.2021.103.017
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