100+ datasets found
  1. K

    COVID-19 Impact on Food Insecurity

    • data.kingcounty.gov
    • s.cnmilf.com
    • +1more
    csv, xlsx, xml
    Updated Jan 7, 2021
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    (2021). COVID-19 Impact on Food Insecurity [Dataset]. https://data.kingcounty.gov/Health-Wellness/COVID-19-Impact-on-Food-Insecurity/hgcr-fnpw
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    xml, xlsx, csvAvailable download formats
    Dataset updated
    Jan 7, 2021
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Public Health — Seattle & King County is monitoring changes in key economic, social, and other health indicators resulting from strategies to slow the spread of COVID-19.

  2. Covid-19 Food Insecurity Data

    • kaggle.com
    Updated Sep 13, 2021
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    Jack Ogozaly (2021). Covid-19 Food Insecurity Data [Dataset]. https://www.kaggle.com/datasets/jackogozaly/pulse-survey-food-insecurity-data
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 13, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Jack Ogozaly
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Description

    What's in the Data?

    This dataset tracks food insecurity across different demographics starting 4/23/2020 to 8/23/2021. It contains fields such as Race, Education, Sex, State, Income, etc. If you're looking for a dataset to examine Covid-19's impact on food insecurity for different demographics, then here you are!

    Data Source

    This data is from the United States Census Bureau's Pulse Survey. The Pulse Survey is a frequently updating survey designed to collect data on how people's lives have been impacted by the coronavirus. Specifically, this dataset is a cleaned up version of the ' Food Sufficiency for Households, in the Last 7 Days, by Select Characteristics" tables.

    The original form of this data can be found at: https://www.census.gov/programs-surveys/household-pulse-survey/data.html

    What was done to this data?

    The original form of this data was split into 36 excel files containing ~67 sheets each. The data was in a non-tidy format, and questions were also not entirely standard. This dataset is my attempt to combine all these different files, tidy the data up, and combine slightly different questions together.

    Why are there so many NA's?

    The large amount of NA's are a consequence of how awful the data was originally/ forcing the data into a tidy format. Just filter the NA's out for the question you want to analyze and you'll be fine.

  3. H

    Data from: Food Access and Food Security During COVID-19 Survey- Version 2.1...

    • dataverse.harvard.edu
    Updated Jun 10, 2020
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    Meredith T. Niles; Roni Neff; Erin Biehl; Farryl Bertmann; Emily H. Belarmino; Francesco Acciai; Punam Ohri-Vachaspati (2020). Food Access and Food Security During COVID-19 Survey- Version 2.1 [Dataset]. http://doi.org/10.7910/DVN/4KY9XZ
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 10, 2020
    Dataset provided by
    Harvard Dataverse
    Authors
    Meredith T. Niles; Roni Neff; Erin Biehl; Farryl Bertmann; Emily H. Belarmino; Francesco Acciai; Punam Ohri-Vachaspati
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    An updated version of the food access and security during COVID-19 survey, based on experience with V1 in Vermont. Includes the addition of several new questions for food assistance programs and dietary intake, which are summarized in the readme file. We are interested in collaborating with any individuals seeking to replication all or portions of the survey elsewhere.

  4. COVID-19 Impact on Food Security, Livelihoods and Local Markets (Jul - Sep...

    • microdata.unhcr.org
    • catalog.ihsn.org
    • +1more
    Updated Feb 19, 2021
    + more versions
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    UNHCR (2021). COVID-19 Impact on Food Security, Livelihoods and Local Markets (Jul - Sep 2020) - Zimbabwe [Dataset]. https://microdata.unhcr.org/index.php/catalog/294
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    Dataset updated
    Feb 19, 2021
    Dataset provided by
    United Nations High Commissioner for Refugeeshttp://www.unhcr.org/
    Authors
    UNHCR
    Time period covered
    2020 - 2021
    Area covered
    Zimbabwe
    Description

    Abstract

    Assessment of the impact of the COVID-19 pandemic on food security, livelihoods and local markets for refugees in urban areas.

    Geographic coverage

    Urban areas in Zimbabwe

    Analysis unit

    Household

    Universe

    Urban refugees

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Random sampling

    Mode of data collection

    Computer Assisted Telephone Interview [cati]

  5. o

    Data from: Food security and diets in urban Asia: how resilient are food...

    • data.opendevelopmentmekong.net
    Updated Mar 4, 2022
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    (2022). Food security and diets in urban Asia: how resilient are food systems in times of COVID-19? [Dataset]. https://data.opendevelopmentmekong.net/dataset/food-security-and-diets-in-urban-asia-how-resilient-are-food-systems-in-times-of-covid-19
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    Dataset updated
    Mar 4, 2022
    Description

    Vulnerable populations in urban areas globally have been among the worst hit by the global COVID-19 crisis. In South and South-East Asia, the COVID-19 pandemic has increased levels of vulnerability and food insecurity in cities through disruptions to food supply chains, increased food prices and loss of income.

  6. Sources of food insecurity amid COVID-19 in Morocco 2021

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Sources of food insecurity amid COVID-19 in Morocco 2021 [Dataset]. https://www.statista.com/statistics/1224636/food-security-barriers-during-covid-19-in-morocco/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 12, 2021 - Feb 13, 2021
    Area covered
    Morocco
    Description

    As of February 2021, out of 1,238 people surveyed in Morocco, ** percent reported that having less income was a reason they had no access to food in the face of the coronavirus (COVID-19) pandemic. Lower-class households were the most affected in terms of lost sources of income in 2020. Furthermore, other barriers to food access indicated by the respondents included higher food prices, closure of food markets, and mobility-related restrictions, at **, **, and ** percent, respectively.

  7. f

    Table_1_Household Food Dynamics and Food System Resilience Amid the COVID-19...

    • frontiersin.figshare.com
    docx
    Updated May 31, 2023
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    Zhengxia Dou; Darko Stefanovski; David Galligan; Margaret Lindem; Paul Rozin; Ting Chen; Ariana M. Chao (2023). Table_1_Household Food Dynamics and Food System Resilience Amid the COVID-19 Pandemic: A Cross-National Comparison of China and the United States.DOCX [Dataset]. http://doi.org/10.3389/fsufs.2020.577153.s001
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    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Frontiers
    Authors
    Zhengxia Dou; Darko Stefanovski; David Galligan; Margaret Lindem; Paul Rozin; Ting Chen; Ariana M. Chao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States, China
    Description

    The COVID-19 pandemic is a “perfect storm” that is testing the resilience and functional stability of the food system, as it ultimately affects household food dynamics and consumer food experiences. This cross-national survey-based study examined in real time how the COVID-19 pandemic impacted food-centric matters in 1,732 Chinese and 1,547 U.S. households during the stay-at-home directives. Both cohorts reported increased efficiency in the use of food, families spending more time cooking and eating together, and more prudent use of food with less waste. Food purchasing patterns shifted from frequent trips to the store to dramatic increases in online ordering. A small proportion (2% U.S. and 11% Chinese respondents) reported clinically significant weight gains of >4.5 kg. Household food security weakened, with large increases in people worrying about or experiencing food shortage. Collective grocery-shopping experiences by survey respondents indicated that the functional stability of food supply systems remained steady; all food types were somewhat available, except for noticeably higher prices widely reported by the Chinese cohort. This study offers insights into food system resilience when facing the pandemic and sheds light on future food patterns as well as long-term questions for additional research about how people make decisions and food behavioral changes at times of crisis.

  8. Map-Based Apps Help Fight Food Insecurity Caused by COVID-19

    • coronavirus-resources.esri.com
    • coronavirus-disasterresponse.hub.arcgis.com
    Updated Dec 22, 2020
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    Esri’s Disaster Response Program (2020). Map-Based Apps Help Fight Food Insecurity Caused by COVID-19 [Dataset]. https://coronavirus-resources.esri.com/documents/map-based-apps-help-fight-food-insecurity-caused-by-covid-19/about
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    Dataset updated
    Dec 22, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri’s Disaster Response Program
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    The novel coronavirus disease 2019 (COVID-19) is impacting families on an unprecedented scale across the state of Indiana. According to the US Bureau of Labor Statistics, the state's unemployment rate for May climbed to 16.9 percent, which is the highest number ever recorded in Indiana. Lost or reduced wages have resulted in significant food insecurity, and several resources that residents normally would depend on have become unavailable during the COVID-19 pandemic. Food banks are being stretched to their limit. School closures have changed access to free and reduced-cost breakfasts and lunches for students. Food staples normally available at grocery stores have become scarce.In response to the quickly spreading outbreak, the state of Indiana turned to the Geographic Information Office (GIO), within the Indiana Office of Technology, to fast-track the new, mobile-friendly Food Assistance Availability Map._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

  9. H

    Food Access and Food Security During COVID-19 Survey- Version 3.0

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Mar 15, 2022
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    Meredith Niles; Roni Neff; Erin Biehl; Farryl Bertmann; Emily H. Belarmino; Francesco Acciai; Punam Ohri-Vachaspati; Anna Josephson; Kaitlyn Harper; Joelle Robinson (2022). Food Access and Food Security During COVID-19 Survey- Version 3.0 [Dataset]. http://doi.org/10.7910/DVN/BIHEYJ
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 15, 2022
    Dataset provided by
    Harvard Dataverse
    Authors
    Meredith Niles; Roni Neff; Erin Biehl; Farryl Bertmann; Emily H. Belarmino; Francesco Acciai; Punam Ohri-Vachaspati; Anna Josephson; Kaitlyn Harper; Joelle Robinson
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    An updated version of the food access and security during COVID-19 survey, based on experience with V2 nationally and throughout the US. Deployed in second national survey in Summer 2021. We are interested in collaborating with any individuals seeking to replication all or portions of the survey elsewhere.

  10. f

    Multivariable logistic regression: Factors associated with adherence to...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 5, 2023
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    Elvis J. Davis; Gustavo Amorim; Bernice Dahn; Troy D. Moon (2023). Multivariable logistic regression: Factors associated with adherence to COVID-19 mitigation recommendations and food security. [Dataset]. http://doi.org/10.1371/journal.pone.0254446.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Elvis J. Davis; Gustavo Amorim; Bernice Dahn; Troy D. Moon
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Multivariable logistic regression: Factors associated with adherence to COVID-19 mitigation recommendations and food security.

  11. a

    COVID-19 and the crisis in food systemsSymptoms, causes, and potential...

    • ckan.ali-sea.org
    Updated Oct 21, 2024
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    (2024). COVID-19 and the crisis in food systemsSymptoms, causes, and potential solutions - Dataset - ALiSEA [Dataset]. https://ckan.ali-sea.org/dataset/covid-19-and-the-crisis-in-food-systemssymptoms-causes-and-potential-solutions
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    Dataset updated
    Oct 21, 2024
    Description

    The COVID-19 health crisis has brought on an economic crisis, and is rapidly exacerbating an ongoing food security and nutrition crisis. In a matter of weeks, COVID-19 has laid bare the underlying risks, fragilities, and inequities in global food systems, and pushed them close to breaking point.Our food systems have been sitting on a knife-edge for decades: children have been one school meal away from hunger; countries €“ one export ban away from food shortages; farms €“ one travel ban away from critical labour shortages; and families in the world’s poorest regions have been one missed day-wage away from food insecurity, untenable living costs, and forced migration

  12. H

    Supporting materials - Covid-19 impact on food security, poverty and...

    • dataverse.harvard.edu
    Updated Jun 9, 2021
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    David Laborde (2021). Supporting materials - Covid-19 impact on food security, poverty and nutrition [Dataset]. http://doi.org/10.7910/DVN/MQKA80
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 9, 2021
    Dataset provided by
    Harvard Dataverse
    Authors
    David Laborde
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    COVID-19 simulations based on the MIRAGRODEP CGE framework Country level results: Gross Nominal Income, Poverty, Diet Affordability, Food consumption Analytical framework explained in Laborde, Martin, and Vos 2021. https://doi.org/10.1111/agec.12624 Version September 2020 Extended results on macroeconomic impacts, food consumption, poverty and diets affordability. Supporting materials for Osendarp and al. (2021) https://www.researchsquare.com/article/rs-123716/v1 Laborde and al. (2021)

  13. o

    Food Security in Asia and the Pacific amid the COVID-19 Pandemic - Library...

    • data.opendevelopmentmekong.net
    Updated Jul 24, 2020
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    (2020). Food Security in Asia and the Pacific amid the COVID-19 Pandemic - Library records OD Mekong Datahub [Dataset]. https://data.opendevelopmentmekong.net/dataset/food-security-in-asia-and-the-pacific-amid-the-covid-19-pandemic
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    Dataset updated
    Jul 24, 2020
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The coronavirus disease (COVID-19) pandemic has heightened food security risks in Asia and the Pacific. Disruptions to domestic and international food supply chains—caused as rising health risks led to major travel restrictions—have undermined food availability and accessibility. Domestically, disruptions in the upstream food supply chains have arisen from mobility restrictions and worker illnesses during planting and harvesting, in addition to hindered operations in processing, trucking, logistics, and trading. Losses of employment and income are also reducing food consumption, leaving vulnerable groups at risk of hunger and malnutrition. Basic food handouts are often limited and may not meet the nutritional needs of children and pregnant women. Internationally, border closures and export restrictions could imply limited availability and affordability of certain food items for countries that rely on imports.

  14. d

    Protocol Registration: The effects of pandemics on the vulnerability of food...

    • dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
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    Heather Vanvolkenburg; Liette Vasseur (2023). Protocol Registration: The effects of pandemics on the vulnerability of food security in West Africa - A scoping review [Dataset]. http://doi.org/10.5683/SP3/4JCDPA
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Heather Vanvolkenburg; Liette Vasseur
    Area covered
    West Africa
    Description

    The review is a component of the IDRC project with its primary objective to examine the existing evidence from the literature on the level of past and current vulnerability of the West African food system and the four pillars of food security. Food security of all countries can be considered vulnerable during times of crisis and pandemics. However, developing countries, such as those in West Africa, already struggle to meet the United Nations zero hunger goals prior to the onset of COVID-19. Many of these same countries had previously faced similar challenges during the recent Ebola virus outbreak, making it imperative for us to understand just how pandemics/epidemics affected, and continue affecting food security. The review will search for and include quantitative and qualitative research as well as opinion pieces and readily available grey literature (e.g. media reports). The review methodology follows PRISMA guidelines with the formal proposed protocol registered at doi.org/10.17605/OSF.IO/PKH98. A copy of the registered protocol is provided here.

  15. g

    COVID-19 Impact on Food Insecurity | gimi9.com

    • gimi9.com
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    COVID-19 Impact on Food Insecurity | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_covid-19-impact-on-food-insecurity/
    Explore at:
    Description

    🇺🇸 미국

  16. l

    Supplementary information files for Diet and food insecurity among mothers,...

    • repository.lboro.ac.uk
    • datasetcatalog.nlm.nih.gov
    docx
    Updated May 31, 2023
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    Rebecca Pradeilles; Rossina Pareja; Hilary M. Creed-Kanashiro; Paula Griffiths; Michelle Holdsworth; Nervo Verdezoto; Sabrina Eymard-Duvernay; Edwige Landais; Megan Stanley; Emily Rousham (2023). Supplementary information files for Diet and food insecurity among mothers, infants and young children in Peru before and during COVID-19: a panel survey [Dataset]. http://doi.org/10.17028/rd.lboro.20079890.v1
    Explore at:
    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Loughborough University
    Authors
    Rebecca Pradeilles; Rossina Pareja; Hilary M. Creed-Kanashiro; Paula Griffiths; Michelle Holdsworth; Nervo Verdezoto; Sabrina Eymard-Duvernay; Edwige Landais; Megan Stanley; Emily Rousham
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Supplementary information files for article Diet and food insecurity among mothers, infants and young children in Peru before and during COVID-19: a panel survey

    The COVID-19 pandemic may impact diet and nutrition through increased household food insecurity, lack of access to health services, and poorer quality diets. The primary aim of this study is to assess the impact of the pandemic on dietary outcomes of mothers and their infants and young children (IYC) in low-income urban areas of Peru. We conducted a panel study, with one survey prepandemic (n = 244) and one survey 9 months after the onset of COVID-19 (n = 254). We assessed breastfeeding and complementary feeding indicators and maternal dietary diversity in both surveys. During COVID-19, we assessed household food insecurity experience and economic impacts of the pandemic on livelihoods; receipt of financial or food assistance, and uptake of health services. Almost all respondents (98.0%) reported adverse economic impacts due to the pandemic and 46.9% of households were at risk of moderate or severe household food insecurity. The proportion of households receiving government food assistance nearly doubled between the two surveys (36.5%–59.5%). Dietary indicators, however, did not worsen in mothers or IYC. Positive changes included an increase in exclusive breastfeeding

  17. Univariate associations with participant food security.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 7, 2023
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    Elvis J. Davis; Gustavo Amorim; Bernice Dahn; Troy D. Moon (2023). Univariate associations with participant food security. [Dataset]. http://doi.org/10.1371/journal.pone.0254446.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Elvis J. Davis; Gustavo Amorim; Bernice Dahn; Troy D. Moon
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Univariate associations with participant food security.

  18. f

    Data from: Assessment of food insecurity in the context of COVID-19:...

    • scielo.figshare.com
    tiff
    Updated Jun 2, 2023
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    Luiz Gonzaga Ribeiro Silva-Neto; Nassib Bezerra Bueno; Thays Lane Ferreira dos Santos; Jonatan Christian de Lima Santos Queiroz; Janine Maria Aragão Francelino; Isabele Rejane de Oliveira Maranhão Pureza; Telma Maria de Menezes Toledo Florêncio (2023). Assessment of food insecurity in the context of COVID-19: association with emergency aid and collecting food donations among the socially vulnerable population of a capital in Northeastern Brazil [Dataset]. http://doi.org/10.6084/m9.figshare.22225484.v1
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    tiffAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    SciELO journals
    Authors
    Luiz Gonzaga Ribeiro Silva-Neto; Nassib Bezerra Bueno; Thays Lane Ferreira dos Santos; Jonatan Christian de Lima Santos Queiroz; Janine Maria Aragão Francelino; Isabele Rejane de Oliveira Maranhão Pureza; Telma Maria de Menezes Toledo Florêncio
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract The scope of this study was to investigate the prevalence of food insecurity in the context of COVID-19 and its association with the emergency aid income-transfer program and the collecting of food donations by the population in a situation of social vulnerability. A cross-sectional study was carried out with socially vulnerable families eight months after confirming the first case of COVID-19 in Brazil. A total of 903 families, living in 22 underprivileged communities of Maceió, in the state of Alagoas, were included. Sociodemographic characteristics were evaluated, and the Brazilian Food Insecurity Scale was applied. The association of food insecurity with the variables studied was performed using Poisson regression with robust variance estimation, considering α = 5%. Of the total sample, 71.1% were food insecure, a situation associated with receiving food donations (PR = 1.14; 95%CI: 1.02; 1.27) and being a beneficiary of emergency aid (PR =1.23; 95%CI: 1.01; 1.49). The results show that the population in a situation of social vulnerability was strongly affected by food insecurity. On the other hand, the population group in question benefited from actions implemented at the outset of the pandemic.

  19. f

    Data_Sheet_1_The double burden of COVID-19 and a major volcanic eruption on...

    • frontiersin.figshare.com
    pdf
    Updated Dec 20, 2023
    + more versions
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    Eden Augustus; Madhuvanti M. Murphy; Cornelia Guell; Karyn Morrissey; Dan Ramdath; Mark Woodward; Simon G. Anderson; Nigel Unwin (2023). Data_Sheet_1_The double burden of COVID-19 and a major volcanic eruption on local food production and food security in a Small Island Developing State.PDF [Dataset]. http://doi.org/10.3389/fsufs.2023.1268330.s001
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    pdfAvailable download formats
    Dataset updated
    Dec 20, 2023
    Dataset provided by
    Frontiers
    Authors
    Eden Augustus; Madhuvanti M. Murphy; Cornelia Guell; Karyn Morrissey; Dan Ramdath; Mark Woodward; Simon G. Anderson; Nigel Unwin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    IntroductionSmall Island Developing States have disproportionately high food insecurity rates, related to complex challenges and vulnerabilities. The COVID-19 pandemic highlighted that within these settings, crises often overlap. We aimed to assess the impact of the concurrent COVID-19 pandemic and volcanic eruption on food production and security in St. Vincent and the Grenadines (SVG).MethodsAn interpretive mixed-methods study was conducted among a convenience sample of consenting adults ≥18 years from 100 households in SVG through a cross-sectional survey and participant interviews (10 households) between September 2021 and March 2022. Food insecurity prevalence over the past year was assessed using the Food Insecurity Experience Scale (FIES; Rasch modeling) and impacts to livelihoods from the pandemic and volcanic eruption was assessed using an adapted Caribbean COVID-19 Food Security and Livelihoods Impact Survey (Caribbean COVID-19 FS&L Survey). Data were analyzed using logistic regression.ResultsDuring the pandemic, 59% of the participants reported decreased income, 63% had no access to markets, 81% had no access to food aid; 34% of the participants had a change in food sources, and 81% reported that food production was negatively impacted by the volcanic eruptions, of which 68% reported decreased food production. The interviews highlighted that access to markets were restricted by fear of leaving home and contracting the COVID-19 virus, and participants who received food aid stated that the number of items were not sufficient for larger families. Almost half of the participants were severely food insecure [48% (95% C.I. 31.2,57.8)]; almost two thirds were moderately to severely food insecure [64% (95% C.I. 50.0, 74.2)]; mean FIES score 5.31 (95% C.I. 5.0,5.6). After adjusting for gender, age, education, and household size, moderate to severe food insecurity was associated with no access to food aid during the pandemic and post-eruptions (odds ratio 3.7; 95% confidence interval 1.5, 9.1; p = 0.004).ConclusionFood insecurity rates were high during the COVID-19 pandemic, exacerbated by volcanic eruptions and insufficient access to food aid. Our results suggest the need for the development of strategies and interventions aimed at increasing the resilience of food systems to mitigate the effects of future disasters.

  20. H

    Data from: Assessment of the COVID-19 Pandemic Impact on Agriculture and...

    • dataverse.harvard.edu
    Updated Oct 15, 2024
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    International Food Policy Research Institute (IFPRI) (2024). Assessment of the COVID-19 Pandemic Impact on Agriculture and Food Security in Tajikistan [Dataset]. http://doi.org/10.7910/DVN/CKOL8D
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 15, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    International Food Policy Research Institute (IFPRI)
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/CKOL8Dhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/CKOL8D

    Time period covered
    2019 - 2020
    Area covered
    Tajikistan
    Dataset funded by
    United States Agency for International Development (USAID)
    Description

    This dataset comprises household farm survey data gathered through a phone-based survey in 2020 to generate insights on the impact of the COVID-19 pandemic on rural farm households in Tajikistan. Data collection occurred between September and October 2020 across 12 districts in southwest Khatlon, part of USAID’s Zone of Influence. The sample includes 1,200 households—1,047 of which were part of the baseline survey from IFPRI's 2018 Assessment of Nutrition-Sensitive Value Chains in the Feed the Future Zone of Influence, with an additional 153 new households added due to attrition. Households were randomly selected from the baseline survey’s respondent roster, but the sample is not intended to be representative of the Zone of Influence. The survey's questionnaire covers a range of topics at the household level, including household composition, income, expenditures, migration, mobility, dietary diversity, and intrahousehold relationships, with a strong emphasis on agriculture. The agriculture module focuses on changes in household participation in agricultural activities, land use, access to and costs of inputs, male and female labor, machinery, market access, and information.

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Meredith T. Niles; Roni Neff; Erin Biehl; Farryl Bertmann; Emily H. Belarmino; Francesco Acciai; Punam Ohri-Vachaspati (2020). Food Access and Food Security During COVID-19 Survey- Version 2.1 [Dataset]. http://doi.org/10.7910/DVN/4KY9XZ

Data from: Food Access and Food Security During COVID-19 Survey- Version 2.1

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12 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jun 10, 2020
Dataset provided by
Harvard Dataverse
Authors
Meredith T. Niles; Roni Neff; Erin Biehl; Farryl Bertmann; Emily H. Belarmino; Francesco Acciai; Punam Ohri-Vachaspati
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Description

An updated version of the food access and security during COVID-19 survey, based on experience with V1 in Vermont. Includes the addition of several new questions for food assistance programs and dietary intake, which are summarized in the readme file. We are interested in collaborating with any individuals seeking to replication all or portions of the survey elsewhere.

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