100+ datasets found
  1. Russians' healthcare and medicines spending plans during COVID-19 2020

    • statista.com
    Updated May 13, 2020
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    Statista (2020). Russians' healthcare and medicines spending plans during COVID-19 2020 [Dataset]. https://www.statista.com/statistics/1116753/russians-healthcare-and-medicine-spending-plans/
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    Dataset updated
    May 13, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2020
    Area covered
    Russia
    Description

    In April 2020, more Russians planned to reduce rather than increase their costs on all given subcategories of healthcare and medicines, excluding over-the-counter drugs. According to the survey on consumer sentiment during the COVID-19 outbreak, more than one quarter of respondents stated they planned to decrease their expenditure on medical services.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  2. GIS for Coronavirus Planning and Response

    • coronavirus-resources.esri.com
    Updated Apr 2, 2020
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    Esri’s Disaster Response Program (2020). GIS for Coronavirus Planning and Response [Dataset]. https://coronavirus-resources.esri.com/documents/01fe1506b0914b3c95bfe124f6e1f732
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    Dataset updated
    Apr 2, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri’s Disaster Response Program
    Description

    Infectious disease experts have predicted a pandemic, saying it was not a question of if but when. Drawing on experiences with severe acute respiratory syndrome (SARS), avian influenza (H5N1), and novel influenza A (H1N1), the World Health Organization (WHO) and other health authorities, such as the Centers for Disease Control and Prevention (CDC), urged nations and local governments to prepare pandemic response plans. Many ministries of health and subnational departments of health around the world have activated those plans in response to coronavirus and are sharing data as required by the updated International Health Regulations.Esri's work with health organizations and government leaders has proven location intelligence from geographic information system (GIS) technology and data to be critical for the following:Assessing risk and evaluating threatsMonitoring and tracking outbreaksMaintaining situational awarenessEnsuring resource allocationNotifying agencies and communitiesThe current coronavirus disease pandemic presents an opportunity to build on the experience and readiness of Esri's existing global user community in health and human services. Through real-time maps, apps, and dashboards, GIS will also facilitate a seamless flow of relevant data as a component of the response from local to global levels. A compelling case exists for building on top of the public health GIS foundation that is already in place both in the United States and around the world.After reading this paper, leadership and senior staff should understand the following:The necessity to apply location intelligence to public health processes in coronavirus responseHow GIS can support immediate and long-term actionWhat resources Esri provides its customers

  3. f

    How Many People Plan to Get the COVID-19 Vaccine

    • fatposglobal.com
    csv, xml
    Updated Jan 15, 2025
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    Market View Insight (2025). How Many People Plan to Get the COVID-19 Vaccine [Dataset]. https://www.fatposglobal.com/blog/how-many-people-plan-to-get-the-covid-19-vaccine-67
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    xml, csvAvailable download formats
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    Market View Insight
    License

    https://marketviewinsights.com/privacy-policyhttps://marketviewinsights.com/privacy-policy

    Time period covered
    Jan 1, 1950 - Dec 18, 2013
    Dataset funded by
    Market View Insight
    Description

    As vaccines for the coronavirus enter review for emergency use by the Global Food and Drug Administration, the share of people who say they plan to get vaccinated has increased as the public has grown more confident that the development process will deliver a safe and effective vaccine. Despite this, public opinion on vaccines is far from uniform. A majority say they are hesitant to be among the first to receive it, and a substantial minority say they will not get.....

  4. Russians' food spending plans during COVID-19 2020, by category

    • statista.com
    Updated May 15, 2020
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    Statista (2020). Russians' food spending plans during COVID-19 2020, by category [Dataset]. https://www.statista.com/statistics/1116388/russians-food-spending-plans-during-covid-19-by-category/
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    Dataset updated
    May 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2020
    Area covered
    Russia
    Description

    Due to the coronavirus (COVID-19) pandemic, 16 percent of Russians planned to increase their spending on fresh food. At the same time, 28 percent reported that they expected to decrease spending on alcohol in the following six months as of April 2020.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  5. d

    DC COVID-19 Vaccine Coverage by Health Planning Neighborhoods

    • catalog.data.gov
    • opendata.dc.gov
    • +1more
    Updated Feb 4, 2025
    + more versions
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    D.C. Office of the Chief Technology Officer (2025). DC COVID-19 Vaccine Coverage by Health Planning Neighborhoods [Dataset]. https://catalog.data.gov/dataset/dc-covid-19-vaccine-coverage-by-health-planning-neighborhoods
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    D.C. Office of the Chief Technology Officer
    Area covered
    Washington
    Description

    Number of residents who completed the vaccine regimen for COVID-19. Coverage is defined as the number of vaccinated individuals as a proportion of the number of residents living in each neighborhood. The proportion of fully vaccinated residents does not translate to population immunity. Residents who are partially vaccinated may have some level of immunity, immunity may change over time, and non-residents are not be included in the population. Vaccine administration data is reported by facilities and may not be complete.Data is updated on a weekly basis.

  6. Multivariable linear regression model of assessment of pandemic plan as...

    • figshare.com
    xls
    Updated Jun 1, 2023
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    Arno Stöcker; Ibrahim Demirer; Sophie Gunkel; Jan Hoffmann; Laura Mause; Tim Ohnhäuser; Nadine Scholten (2023). Multivariable linear regression model of assessment of pandemic plan as beneficial and pandemic preparedness among general practitioners. [Dataset]. http://doi.org/10.1371/journal.pone.0255986.t005
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Arno Stöcker; Ibrahim Demirer; Sophie Gunkel; Jan Hoffmann; Laura Mause; Tim Ohnhäuser; Nadine Scholten
    License

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

    Description

    Multivariable linear regression model of assessment of pandemic plan as beneficial and pandemic preparedness among general practitioners.

  7. D

    COVID-19 State, Tribal, Local, and Territorial Funding

    • data.cdc.gov
    • healthdata.gov
    • +1more
    application/rdfxml +5
    Updated Sep 5, 2023
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    COVID-19 State, Tribal, Local, and Territorial Funding [Dataset]. https://data.cdc.gov/Administrative/COVID-19-State-Tribal-Local-and-Territorial-Fundin/tt3f-rr33
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    application/rssxml, csv, xml, tsv, json, application/rdfxmlAvailable download formats
    Dataset updated
    Sep 5, 2023
    Description

    The U.S. government has taken unprecedented action to address the public health threat posed by this new coronavirus. To accelerate response efforts, CDC received supplemental funds through five congressional acts: the Coronavirus Preparedness and Response Supplemental Appropriations Act, 2020; Coronavirus Aid, Relief, and Economic Security Act; Paycheck Protection Program and Health Care Enhancement Act; Coronavirus Response and Relief Supplemental Appropriations Act, 2021; and American Rescue Plan Act of 2021. CDC is actively funding state, tribal, local, and territorial public health organizations to meet the challenges of this fast-moving public health threat.

  8. Provider Relief Fund COVID-19 Nursing Home Quality Incentive Program

    • catalog.data.gov
    • healthdata.gov
    • +2more
    Updated Aug 4, 2021
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    Centers for Disease Control and Prevention (2021). Provider Relief Fund COVID-19 Nursing Home Quality Incentive Program [Dataset]. https://catalog.data.gov/dataset/provider-relief-fund-covid-19-nursing-home-quality-incentive-program-3766a
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    Dataset updated
    Aug 4, 2021
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    The bipartisan CARES Act; and the Paycheck Protection Program and Health Care Enhancement Act (PPPHCEA); and the Coronavirus Response and Relief Supplemental Appropriations (CRRSA) Act provided $178 billion in relief funds to hospitals and other healthcare providers on the front lines of the coronavirus response. The Department of Health and Human Services through the Health Resources and Services Administration is allocating $2 billion in incentive payments to nursing home facilities that reduce both COVID-19 infection rates relative to their county and mortality rates against a national benchmark.

  9. d

    Louisville Metro KY –COVID-19 Response to Prevention in Congregate Setting...

    • catalog.data.gov
    • data.lojic.org
    • +3more
    Updated Apr 13, 2023
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    Louisville/Jefferson County Information Consortium (2023). Louisville Metro KY –COVID-19 Response to Prevention in Congregate Setting Program [Dataset]. https://catalog.data.gov/dataset/louisville-metro-ky-covid-19-response-to-prevention-in-congregate-setting-program
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    Dataset updated
    Apr 13, 2023
    Dataset provided by
    Louisville/Jefferson County Information Consortium
    Area covered
    Kentucky, Louisville
    Description

    LMPHW will be sub granting ARP funds to Metro United Way to deploy critical funding to childcare providers reeling from the effects of COVID-19, which will help stabilize the childcare ecosystem.Data Dictionary Field Name Field Type Field Description Provider Text Daycare provider Positive_Cases_Staff Integer Number of positive cases among the staffs of the facility Positive_Cases_Child Integer Number of positive cases among the children of the facility Licensed_Capacity Integer The present capacity of the daycare as the time of the project. Tier_Level Integer The amount of money distributed to the daycares. City Text The city the day care is located. State Text The state the day care is located. Zip_Code Text The Zip code the day care is located. Council_District Integer The Council District the day care is located.

  10. g

    American Rescue Plan Act – Coronavirus State and Local Fiscal Recovery Fund...

    • gimi9.com
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    American Rescue Plan Act – Coronavirus State and Local Fiscal Recovery Fund (ARPA – SLFRF) | gimi9.com [Dataset]. https://www.gimi9.com/dataset/data-gov_american-rescue-plan-act-coronavirus-state-and-local-fiscal-recovery-fund-arpa-slfrf/
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    Description

    This dataset includes allocations from the Coronavirus State and Local Fiscal Recovery Funds Program (SLFRF) to Connecticut municipalities in 2021 and 2022. The SLFRF program, a part of the American Rescue Plan, provided $350 billion to state, local, and Tribal governments across the country to support their response to and recovery from the COVID-19 public health emergency. This dataset includes funds allocated to Connecticut municipalities.

  11. Healthy eating during the COVID-19 pandemic: Meal planning

    • open.canada.ca
    • ouvert.canada.ca
    html
    Updated May 14, 2020
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    Health Canada (2020). Healthy eating during the COVID-19 pandemic: Meal planning [Dataset]. https://open.canada.ca/data/en/dataset/c96cc04d-c743-4b39-9665-b0566100e308
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    htmlAvailable download formats
    Dataset updated
    May 14, 2020
    Dataset provided by
    Health Canadahttp://www.hc-sc.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Meal planning helps you and your family be prepared, which is especially important right now. By planning your meals and snacks, you can save money, reduce food waste and limit trips to the grocery store.

  12. Approach to financial planning by Americans during COVID-19 in 2020

    • statista.com
    Updated May 31, 2022
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    Approach to financial planning by Americans during COVID-19 in 2020 [Dataset]. https://www.statista.com/statistics/1174322/financial-planning-approach-covid19-usa/
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    Dataset updated
    May 31, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 29, 2020 - May 1, 2020
    Area covered
    United States
    Description

    In 2020, the COVID-19 pandemic made Americans focus more on their financial planning. More than 30 percent said they revisited their financial plan, but didn't change it, while 20 percent stated that they made significant adjustments to their financial plans in response to the pandemic. The percentage of Americans who did the latter varied by generation with Millennials leading the way in making adjustments.

  13. BOOK: Learning from COVID-19: GIS for Pandemics

    • coronavirus-resources.esri.com
    • coronavirus-disasterresponse.hub.arcgis.com
    • +1more
    Updated Oct 24, 2022
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    Esri’s Disaster Response Program (2022). BOOK: Learning from COVID-19: GIS for Pandemics [Dataset]. https://coronavirus-resources.esri.com/documents/78dcf5a3860a4cdea5482dac94f9c6b6
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    Dataset updated
    Oct 24, 2022
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri’s Disaster Response Program
    Description

    Needing to answer the question of “where” sat at the forefront of everyone’s mind, and using a geographic information system (GIS) for real-time surveillance transformed possibly overwhelming data into location intelligence that provided agencies and civic leaders with valuable insights.This book highlights best practices, key GIS capabilities, and lessons learned during the COVID-19 response that can help communities prepare for the next crisis.GIS has empowered:Organizations to use human mobility data to estimate the adherence to social distancing guidelinesCommunities to monitor their health care systems’ capacity through spatially enabled surge toolsGovernments to use location-allocation methods to site new resources (i.e., testing sites and augmented care sites) in ways that account for at-risk and vulnerable populationsCommunities to use maps and spatial analysis to review case trends at local levels to support reopening of economiesOrganizations to think spatially as they consider “back-to-the-workplace” plans that account for physical distancing and employee safety needsLearning from COVID-19 also includes a “next steps” section that provides ideas, strategies, tools, and actions to help jump-start your own use of GIS, either as a citizen scientist or a health professional. A collection of online resources, including additional stories, videos, new ideas and concepts, and downloadable tools and content, complements this book.Now is the time to use science and data to make informed decisions for our future, and this book shows us how we can do it.Dr. Este GeraghtyDr. Este Geraghty is the chief medical officer and health solutions director at Esri where she leads business development for the Health and Human Services sector.Matt ArtzMatt Artz is a content strategist for Esri Press. He brings a wide breadth of experience in environmental science, technology, and marketing.

  14. Distribution of the total population, and those of ages between 45 and 65,...

    • plos.figshare.com
    xls
    Updated Jun 14, 2023
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    Amin Kiaghadi; Hanadi S. Rifai; Winston Liaw (2023). Distribution of the total population, and those of ages between 45 and 65, and above 65 years within different determinant category percentiles of vulnerability in Harris County. [Dataset]. http://doi.org/10.1371/journal.pone.0241166.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Amin Kiaghadi; Hanadi S. Rifai; Winston Liaw
    License

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

    Area covered
    Harris County
    Description

    Distribution of the total population, and those of ages between 45 and 65, and above 65 years within different determinant category percentiles of vulnerability in Harris County.

  15. American Rescue Plan (ARP) Rural Payments

    • healthdata.gov
    • data.virginia.gov
    • +3more
    application/rdfxml +5
    Updated Nov 23, 2021
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    data.cdc.gov (2021). American Rescue Plan (ARP) Rural Payments [Dataset]. https://healthdata.gov/w/u9tr-72g5/default?cur=z1wCo_yRVkd&from=dBGg5n4FzJH
    Explore at:
    tsv, csv, json, xml, application/rssxml, application/rdfxmlAvailable download formats
    Dataset updated
    Nov 23, 2021
    Dataset provided by
    data.cdc.gov
    Description

    The U.S. Department of Health and Human Services (HHS) via the Health Resources and Services Administration (HRSA) is releasing American Rescue Plan payments to providers and suppliers who have served rural Medicaid, Children's Health Insurance Program (CHIP), and Medicare beneficiaries from January 1, 2019 through September 30, 2020. The dataset will be updated as additional payments are released. Data does not reflect recipients’ attestation status, returned payments, or unclaimed funds.

  16. Planning guidance for immunization clinics for COVID-19 vaccines

    • open.canada.ca
    • ouvert.canada.ca
    html
    Updated Jan 25, 2021
    + more versions
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    Public Health Agency of Canada (2021). Planning guidance for immunization clinics for COVID-19 vaccines [Dataset]. https://open.canada.ca/data/en/dataset/8f2a38ab-7c76-404c-ac10-0acf07938ca3
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    htmlAvailable download formats
    Dataset updated
    Jan 25, 2021
    Dataset provided by
    Public Health Agency Of Canadahttp://www.phac-aspc.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    The purpose of this document is to assist in planning immunization clinics for COVID-19 vaccines during the COVID-19 pandemic.

  17. f

    Table_2_An Evaluation of the COVID-19 Pandemic and Perceived Social...

    • frontiersin.figshare.com
    docx
    Updated Jun 5, 2023
    + more versions
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    Charlotte De Backer; Lauranna Teunissen; Isabelle Cuykx; Paulien Decorte; Sara Pabian; Sarah Gerritsen; Christophe Matthys; Haleama Al Sabbah; Kathleen Van Royen; The Corona Cooking Survey Study Group (2023). Table_2_An Evaluation of the COVID-19 Pandemic and Perceived Social Distancing Policies in Relation to Planning, Selecting, and Preparing Healthy Meals: An Observational Study in 38 Countries Worldwide.docx [Dataset]. http://doi.org/10.3389/fnut.2020.621726.s001
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    docxAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    Frontiers
    Authors
    Charlotte De Backer; Lauranna Teunissen; Isabelle Cuykx; Paulien Decorte; Sara Pabian; Sarah Gerritsen; Christophe Matthys; Haleama Al Sabbah; Kathleen Van Royen; The Corona Cooking Survey Study Group
    License

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

    Description

    Objectives: To examine changes in planning, selecting, and preparing healthy foods in relation to personal factors (time, money, stress) and social distancing policies during the COVID-19 crisis.Methods: Using cross-sectional online surveys collected in 38 countries worldwide in April-June 2020 (N = 37,207, Mage 36.7 SD 14.8, 77% women), we compared changes in food literacy behaviors to changes in personal factors and social distancing policies, using hierarchical multiple regression analyses controlling for sociodemographic variables.Results: Increases in planning (4.7 SD 1.3, 4.9 SD 1.3), selecting (3.6 SD 1.7, 3.7 SD 1.7), and preparing (4.6 SD 1.2, 4.7 SD 1.3) healthy foods were found for women and men, and positively related to perceived time availability and stay-at-home policies. Psychological distress was a barrier for women, and an enabler for men. Financial stress was a barrier and enabler depending on various sociodemographic variables (all p < 0.01).Conclusion: Stay-at-home policies and feelings of having more time during COVID-19 seem to have improved food literacy. Stress and other social distancing policies relate to food literacy in more complex ways, highlighting the necessity of a health equity lens.

  18. H

    Coronavirus COVID-19 Global Appeals and Plans

    • data.humdata.org
    csv
    Updated Mar 2, 2023
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    OCHA HQ (2023). Coronavirus COVID-19 Global Appeals and Plans [Dataset]. https://data.humdata.org/dataset/covid-19-global-appeals-and-plans
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    csvAvailable download formats
    Dataset updated
    Mar 2, 2023
    Dataset provided by
    OCHA HQ
    License

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

    Description

    List of coronavirus (COVID-19) global appeals and plans.

  19. State and Local Government Open Data Sites Share COVID-19 News, Resources

    • coronavirus-resources.esri.com
    Updated May 4, 2020
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    Esri’s Disaster Response Program (2020). State and Local Government Open Data Sites Share COVID-19 News, Resources [Dataset]. https://coronavirus-resources.esri.com/documents/c7887177793049508e422534f41f3667
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    Dataset updated
    May 4, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri’s Disaster Response Program
    Description

    ArcGIS Hub allows governments to compile data, maps, apps, and dashboards into one-stop destination websites to communicate local details about the global crisis.Key takeaways:Open data sites communicate key details about the COVID-19 crisis to the public.State and local governments and agencies have quickly stood up data sharing sites to ease collaboration and improve transparency.Open data helps governments improve public trust, illustrating how we’re all in this together._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...

  20. Analytics and Data Visualization for COVID-19 Intelligence

    • coronavirus-disasterresponse.hub.arcgis.com
    • coronavirus-resources.esri.com
    Updated Apr 10, 2020
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    Esri’s Disaster Response Program (2020). Analytics and Data Visualization for COVID-19 Intelligence [Dataset]. https://coronavirus-disasterresponse.hub.arcgis.com/documents/810bb6d1ab564283b82c8047fb0e9b5a
    Explore at:
    Dataset updated
    Apr 10, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri’s Disaster Response Program
    Description

    Analytics and Data Visualization for COVID-19 Intelligence.An ArcGIS Blog arcticle that explains how to leverage ready-to-use reports and tutorials to gauge COVID-19 pandemic's impact worldwide._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...

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Statista (2020). Russians' healthcare and medicines spending plans during COVID-19 2020 [Dataset]. https://www.statista.com/statistics/1116753/russians-healthcare-and-medicine-spending-plans/
Organization logo

Russians' healthcare and medicines spending plans during COVID-19 2020

Explore at:
Dataset updated
May 13, 2020
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Apr 2020
Area covered
Russia
Description

In April 2020, more Russians planned to reduce rather than increase their costs on all given subcategories of healthcare and medicines, excluding over-the-counter drugs. According to the survey on consumer sentiment during the COVID-19 outbreak, more than one quarter of respondents stated they planned to decrease their expenditure on medical services.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

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