84 datasets found
  1. Poll on the second border lockdown's effect on Hungarians' travel plans 2020...

    • statista.com
    Updated Sep 10, 2020
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    Statista (2020). Poll on the second border lockdown's effect on Hungarians' travel plans 2020 [Dataset]. https://www.statista.com/statistics/1171683/hungary-second-border-lockdown-s-effect-on-travel-plans/
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    Dataset updated
    Sep 10, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Hungary
    Description

    According to the findings of the survey conducted in 2020, over 40 percent of Hungarians did not plan any foreign travels after September 1 due to financial reasons. Only 18 percent of respondents were affected by the government's decision to close the national border for the second time in order to stop the spread of the coronavirus (COVID-19).

  2. Activities missed most during the coronavirus lockdown in the UK as of May...

    • statista.com
    • flwrdeptvarieties.store
    Updated May 20, 2020
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    Statista (2020). Activities missed most during the coronavirus lockdown in the UK as of May 2020 [Dataset]. https://www.statista.com/statistics/1119092/uk-activities-missed-most-during-lockdown/
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    Dataset updated
    May 20, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 13, 2020 - May 14, 2020
    Area covered
    United Kingdom
    Description

    In May 2020, a survey carried out in the United Kingdom found that around two-thirds of the British missed seeing family and friends the most during the lockdown period as a result of the coronavirus pandemic. 38 percent of respondents said they miss going to restaurants and pubs, while 35 percent reported that they missed going on holidays. The latest number of cases in the UK can be found here. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

  3. R

    WageIndicator Survey of Living and Working in Coronavirus Times

    • dataverse.iza.org
    • datasets.iza.org
    zip
    Updated Feb 21, 2024
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    Research Data Center of IZA (IDSC) (2024). WageIndicator Survey of Living and Working in Coronavirus Times [Dataset]. http://doi.org/10.15185/wif.corona.1
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    zip(1577392), zip(122268054)Available download formats
    Dataset updated
    Feb 21, 2024
    Dataset provided by
    Research Data Center of IZA (IDSC)
    License

    https://www.iza.org/wc/dataverse/IIL-1.0.pdfhttps://www.iza.org/wc/dataverse/IIL-1.0.pdf

    Area covered
    Brazil, Lithuania, Lebanon, Puerto Rico, Kenya, Panama, Morocco, Burundi, Ukraine, New Zealand
    Description

    WageIndicator is interviewing people around the world to discover what makes the Coronavirus lockdown easier (or tougher), and what is the COVID-19 effect on our jobs, lives and mood. WageIndicator shows coronavirus-induced changes in living and working conditions in over 110 countries on the basis of answers on the following questions among others in the Corona survey: Is your work affected by the corona crisis? Are precautionary measures taken at the workplace? Do you have to work from home? Has your workload increased/decreased? Have you lost your job/work/assignments? The survey contains questions about the home situation of respondents as well as about the possible manifestation of the corona disease in members of the household. Also the effect of having a pet in the house in corona-crisis times is included.

  4. Trends In Eating Out And Home Cooking during COVID-19 Lockdown for weeks...

    • store.globaldata.com
    Updated Jun 30, 2020
    + more versions
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    GlobalData UK Ltd. (2020). Trends In Eating Out And Home Cooking during COVID-19 Lockdown for weeks 1-10 (Consumer Survey Insights) [Dataset]. https://store.globaldata.com/report/trends-in-eating-out-and-home-cooking-during-covid-19-lockdown-for-weeks-1-10-consumer-survey-insights/
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    Dataset updated
    Jun 30, 2020
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    Global
    Description

    This report is part of the GlobalData COVID-19 Consumer Insight series, which tracks changes in consumer sentiment, lifestyles, attitudes, and behaviors stemming from the global coronavirus outbreak. The consumer insight offered throughout the report is drawn from GlobalData's Coronavirus (COVID-19) Tracker Consumer Survey, a weekly survey that was carried out in 11 countries starting from March 25 2020. Read More

  5. d

    Replication Data for \"Does Issue Framing Shape Support for Covid-19...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 9, 2023
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    Carreras, Miguel; Vera, Sofia; Visconti, Giancarlo (2023). Replication Data for \"Does Issue Framing Shape Support for Covid-19 Lockdown Measures? Evidence from a Survey Experiment in Peru\" [Dataset]. http://doi.org/10.7910/DVN/TPTA2P
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    Dataset updated
    Nov 9, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Carreras, Miguel; Vera, Sofia; Visconti, Giancarlo
    Description

    Two issue frames quickly emerged in policy and media communications about Covid-19 lockdown measures. Initially, a public health frame advocated for strong quarantine policies to slow the spread of the virus. As the economic costs associated with quarantine measures became clear, an economic frame pushed for an end to (or a relaxation of) these measures to alleviate the economic damage associated with lockdowns. We do not know much about how these competing communication frames affected lockdown support, especially in poor and middle-income countries. To explore this question, we embedded a framing experiment in a nationally representative telephone survey in May 2020 in Peru, one of the world's hardest-hit countries by the coronavirus pandemic. The vignette experiment reveals that the economic frame produces a decrease in public support for quarantine measures in Peru. In contrast, respondents exposed to a health frame do not increase their approval of the same measures.

  6. HEartS Professional Survey: Charting the effects of COVID-19 lockdown 1.0 on...

    • data.niaid.nih.gov
    • zenodo.org
    • +1more
    zip
    Updated Nov 20, 2023
    + more versions
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    Aaron Williamon; Neta Spiro; Sasha Kaye; Urszula Tymoszuk; Adele Mason-Bertrand; Rosie Perkins (2023). HEartS Professional Survey: Charting the effects of COVID-19 lockdown 1.0 on working patterns, income, and wellbeing among performing arts professionals in the United Kingdom (April–June 2020) [Dataset]. http://doi.org/10.5061/dryad.s7h44j14z
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    zipAvailable download formats
    Dataset updated
    Nov 20, 2023
    Dataset provided by
    Royal College of Music
    Authors
    Aaron Williamon; Neta Spiro; Sasha Kaye; Urszula Tymoszuk; Adele Mason-Bertrand; Rosie Perkins
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Area covered
    United Kingdom
    Description

    These data were collected using the HEartS Professional Survey from performing arts workers in the United Kingdom in April–June 2020. HEartS Professional was designed as a multi-strategy data collection tool with two main purposes: (1) to chart working patterns, income, sources of support, and indicators of mental and social wellbeing in order to identify trends in the effects of the lockdown at the time and (2) to explore the individual work and wellbeing experiences of performing arts professionals in their own words, in order to identify the subjective effects of lockdown in terms of challenges and opportunities. The survey covers six areas: (1) demographics, (2) information on illness or self-isolation related to COVID-19, (3) work profiles and income, (4) changes to work profiles and income as a result of the pandemic, as well as sources of support, (5) open-response questions about work and wellbeing experiences of lockdown including challenges and opportunities, and (6) validated measures of health, wellbeing, and social connectedness. HEartS Professional is an adaptation of the HEartS Survey which charts the Health, Economic, and Social impacts of the ARTs (https://doi.org/10.5061/dryad.3r2280gdj).

    Methods The sample was recruited through an online data collection platform, Qualtrics, from 1 April to 15 June 2020. 784 respondents started the survey and 447 completed it. Here we include the subset (n=385) of completed surveys that worked in the two performing arts areas: Music or sound arts (e.g. professional musician) and/or Performing arts (e.g. professional actor, dancer, circus performer etc.). The survey contains the following sections:

    Demographic and socioeconomic information: Where available standardised Census questions were used to collect data on ethnicity, geographic region, highest educational qualifications, gender, age, and household composition and income. Illness or self-isolation related to Covid-19: Newly created questions. Work profiles and income: Newly created questions. Changes to work profiles and income as a result of the pandemic and sources of support: Newly created questions and Inclusion of Other in Self Scale. Open-response questions about work and wellbeing experiences of lockdown, including challenges and opportunities: Newly created questions (NB. data for the open questions are not included for confidentiality reasons). Measures of health, wellbeing, and social connectedness: The following validated and previously used measures are included

    Mental Health Continuum Short Form 14-item scale Centre for Epidemiologic Studies Depression (CES-D) Short Form 8-item scale Self-rated General Health item (from SF-36) Physical activity scale recording mild, moderate, and vigorous physical activity frequency (from Whitehall II Study) Social Connectedness Revised 15-item scale

    UCLA Three-item Loneliness Scale, Single item loneliness question De Jong Gierveld Loneliness Short Form 6-item scale 1-item questions on loneliness frequency and loneliness intensity

    More information is provided in the Variables tab in the dataset.

  7. e

    Business Needs — Covid-19 Recovery — 2022 Survey Data

    • esriaustraliahub.com.au
    • data.nsw.gov.au
    • +4more
    Updated Dec 13, 2022
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    City of Sydney (2022). Business Needs — Covid-19 Recovery — 2022 Survey Data [Dataset]. https://www.esriaustraliahub.com.au/datasets/cityofsydney::business-needs-covid-19-recovery-2022-survey-data
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    Dataset updated
    Dec 13, 2022
    Dataset authored and provided by
    City of Sydney
    License

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

    Description

    Business Needs Survey 2022 – Impact of the Covid-19 pandemic on the needs of businesses in the City.The City conducted the 2020 Business Needs Survey following the first lockdown initiated in response to Covid-19. The survey aimed to provide insight into the needs of small business operators to determine the best approach in supporting them to remain economically viable.The City has conducted 2021 and 2022 Covid-19 Business Needs Surveys. The responses document how organisations, industry sectors and members were impacted by the pandemic immediately before the 2021 four-month lockdown.See previous surveys

  8. High Frequency Phone Survey on COVID-19 2022, Round 1 - Vanuatu

    • microdata.pacificdata.org
    Updated Apr 21, 2023
    + more versions
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    World Bank (2023). High Frequency Phone Survey on COVID-19 2022, Round 1 - Vanuatu [Dataset]. https://microdata.pacificdata.org/index.php/catalog/869
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    Dataset updated
    Apr 21, 2023
    Dataset authored and provided by
    World Bankhttp://worldbank.org/
    Time period covered
    2022
    Area covered
    Vanuatu
    Description

    Abstract

    The phone survey was conducted to gather data on the socio-economic impact of COVID-19 crisis in Vanuatu. Community transmission of COVID-19 in Vanuatu started only in March 2022 followed by the nation-wide lockdown and other restrictions. Round 1 HFPS survey was a timely process to observe the effect of the crisis on the country. Round 1 interviewed 2,515 households both in urban and rural regions of the country from July 2022 to September 2022.

    Survey topics included employment and income, food security, coping strategies, access to health services, and asset ownership - all on household level. Additionally, two individual-level datasets explore adult employment and child education. The former selects a randomly chosen adult in the household - could be the respondent of a household-level data, head of the household or another individual - and inquires about their employment status. For the latter, the respondent is being asked about education of a randomly chosen child in the household with more than one child.

    While these findings are not without their caveats due to the lack of baseline data, constraints of the mobile phone survey methodology, and data quality constraints, they represent the best estimates to date and supplement other data on macroeconomic conditions, exports, firm-level information, etc. to develop an initial picture of the impacts of the crises on the population.

    Geographic coverage

    National urban and rural (6 provinces) coverage: Sanma, Shefa, Torba, Penama, Malampa, Tafea

    Analysis unit

    Household and Individual.

    Universe

    All respondents must be aged 18 and over and have a phone.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The Vanuatu HFPS Round 1 sample was generated in three ways. The first method is Random Digit Dialing (RDD) process covering all cell telephone numbers active at the time of the sample selection. Majority of the sample was generated through RDD in this round - approximately 84%.

    The RDD methodology generates virtually all possible telephone numbers in the country under the national telephone numbering plan and then draws a random sample of numbers. This method guarantees full coverage of the population with a phone.

    First, a large first-phase sample of cell phone numbers was selected and screened through an automated process to identify the active numbers. Then, a smaller second-phase sample was selected from the active residential numbers identified in the first-phase sample and was delivered to the data collection team to be called by the interviewers. When a cell phone was called, the call answerer was interviewed as long as he or she was 18 years of age or above and knowledgeable about the household activities.

    The remaining 16% of Round 1 respondents was retrieved from Vanuatu's National Sustainable Development Plan (NSDP) Baseline Survey 2019/20.

    Mode of data collection

    Computer Assisted Telephone Interview [cati]

    Research instrument

    The questionnaire was developed in both English and Bislama. Sections of the Questionnaire are listed below: 1. Interview Information 2. Basic Information 3. Vaccine Information 4. Health 5. Education 6. Food Insecurity 7. Employment 8. Income 9. Coping Strategies 10. Assets 11. Digital 12. Recontact

    The questionnaire is provided in this documentation as an external resource.

    Cleaning operations

    At the end of data collection, the raw dataset was cleaned by the survey firm and the World Bank team. Data cleaning mainly included formatting, relabeling, and excluding survey monitoring variables (e.g., interview start and end times). Data was edited using the software Stata.

    Response rate

    Total of 9,674 calls were attempted for Round 1. Response rate - where the phone was picked up - was 40%. Out of these, 66% completed the full survey.

  9. Poll on storing food at home in case of need in Hungary 2021

    • statista.com
    Updated Nov 25, 2021
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    Poll on storing food at home in case of need in Hungary 2021 [Dataset]. https://www.statista.com/statistics/1276623/hungary-poll-on-storing-food-at-home-in-case-of-need/
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    Dataset updated
    Nov 25, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Hungary
    Description

    The share of Hungarians finding it necessary to store larger quantities of food at home just in case of emergency peaked at 72 percent in 2020. By 2021, however, this figure decreased to 68 percent.

  10. Opinion on online deliveries after COVID-19 lockdown relaxation India 2020

    • statista.com
    Updated Sep 15, 2020
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    Opinion on online deliveries after COVID-19 lockdown relaxation India 2020 [Dataset]. https://www.statista.com/statistics/1115652/india-coronavirus-post-lockdown-purchase-e-commerce/
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    Dataset updated
    Sep 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2020
    Area covered
    India
    Description

    According to a survey about permitting e-commerce platforms to sell and deliver all goods after the relaxation of the coronavirus (COVID-19) lockdown on Indians in April 2020, a majority of respondents were in favor. In contrast, about 18 percent wanted the e-commerce sites for essentials supplies only.

    India implemented a lockdown for 21 days, announced on March 24, 2020. This lockdown was the largest in the world, restricting 1.3 billion people, extended until May 17, 2020. During the lockdown, e-commerce platforms could deliver just essential supplies.

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

  11. Differences in time use between lockdowns, by vaccine status and other...

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Jun 23, 2021
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    Office for National Statistics (2021). Differences in time use between lockdowns, by vaccine status and other demographics, Great Britain [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/datasets/differencesintimeusebetweenlockdownsbyvaccinestatusandotherdemographicsgreatbritain
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    xlsxAvailable download formats
    Dataset updated
    Jun 23, 2021
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Time Use Survey data show changes in how people spent their time during coronavirus (COVID-19) restrictions in March and April 2020, September to October 2020 and March 2021, as well as before the pandemic. It also includes Opinions and Lifestyle Survey data on behaviours following vaccination in Great Britain from 19 May to 13 June 2021.

  12. Z

    National Survey on the Effects of COVID-19 on the Wellbeing of Mexican...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jul 16, 2024
    + more versions
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    Vilar-Compte, Mireya (2024). National Survey on the Effects of COVID-19 on the Wellbeing of Mexican Households (ENCOVID-19- DECEMBER 2020) [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_6960879
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    Dataset updated
    Jul 16, 2024
    Dataset provided by
    Perez-Hernandez, Victor
    Teruel Belismelis, Graciela
    Gaitán-Rossi, Pablo
    Triano-Enríquez, Manuel
    López-Escobar, Emilio
    Vilar-Compte, Mireya
    Hernandez-Solano, Alan
    License

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

    Description

    Amid the COVID-19 outbreak, the ENCOVID-19 provides information on the well-being of Mexican households in four main domains: labor, income, mental health, and food insecurity. It offers timely information to understand the social consequences of the pandemic and the lockdown measures. It is a project consisting of a series of cross-sectional telephone surveys collected in key moments of the COVID-19 pandemic. In addition to the four main domains and a set of COVID19-related questions, the survey includes new key indicators every month to capture the impact of the pandemic on issues like education, social programs, and crime. This is the sixth dataset of the project, corresponding to December 2020, collected nine months after the lockdown began in Mexico. Data collection was performed from November 27 to December 11, 2020.

  13. f

    Table_2_The Effects of COVID-19 Lockdown 1.0 on Working Patterns, Income,...

    • frontiersin.figshare.com
    pdf
    Updated Jun 12, 2023
    + more versions
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    Table_2_The Effects of COVID-19 Lockdown 1.0 on Working Patterns, Income, and Wellbeing Among Performing Arts Professionals in the United Kingdom (April–June 2020).pdf [Dataset]. https://frontiersin.figshare.com/articles/dataset/Table_2_The_Effects_of_COVID-19_Lockdown_1_0_on_Working_Patterns_Income_and_Wellbeing_Among_Performing_Arts_Professionals_in_the_United_Kingdom_April_June_2020_pdf/13843526
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    pdfAvailable download formats
    Dataset updated
    Jun 12, 2023
    Dataset provided by
    Frontiers
    Authors
    Neta Spiro; Rosie Perkins; Sasha Kaye; Urszula Tymoszuk; Adele Mason-Bertrand; Isabelle Cossette; Solange Glasser; Aaron Williamon
    License

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

    Area covered
    United Kingdom
    Description

    This article reports data collected from 385 performing arts professionals using the HEartS Professional Survey during the COVID-19 Lockdown 1.0 in the United Kingdom. Study 1 examined characteristics of performing arts professionals’ work and health, and investigated how these relate to standardized measures of wellbeing. Study 2 examined the effects of the lockdown on work and wellbeing in the respondents’ own words. Findings from Study 1 indicate a substantial reduction in work and income. 53% reported financial hardship, 85% reported increased anxiety, and 63% reported being lonelier than before the crisis. 61% sought support on finances while only 45% did so on health and wellbeing. Multiple regression analyses, using the Mental Health Continuum-Short Form, Center for Epidemiologic Studies Depression Scale, Social Connectedness Scale, and Three-Item Loneliness Scale as outcome variables, indicate that perceived financial hardship was associated with lower wellbeing and higher depression and loneliness scores. Higher self-rated health was associated with higher wellbeing and lower depression scores. More physical activity before lockdown was associated with higher wellbeing and social connectedness scores, as well as lower loneliness scores, and an increase in physical activity during lockdown compared with before, as well as older age, were associated with higher wellbeing and social connectedness scores, and lower depression and loneliness scores. Thematic inductive analysis of 341 open responses in Study 2 identified five overarching themes characterizing the effects of Lockdown 1.0: lost or uncertain work and income, including canceled work, financial concerns, and uncertainties for the future; constraints of lockdown working, including challenges of working at home, struggles with online work and skill maintenance, and caring responsibilities; loss and vulnerability, including reduced social connections, lack of support, vulnerability, feelings of loss and grief, and concern for others; detrimental effects on health and wellbeing, including anxiety, low or unstable mood, poorer physical health, and lack of motivation; and professional and personal opportunities, including coping well or living more healthily, more time and less pressure, new possibilities and activities, enhanced social connections, and new skills. Lockdown 1.0 had profound effects on performing arts professionals, but our findings reveal some opportunities and compelling links between positive wellbeing and physical activity.

  14. f

    Linear probability model: Changes in division of childcare tasks.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 3, 2023
    + more versions
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    Mara A. Yerkes; Stéfanie C. H. André; Janna W. Besamusca; Peter M. Kruyen; Chantal L. H. S. Remery; Roos van der Zwan; Debby G. J. Beckers; Sabine A. E. Geurts (2023). Linear probability model: Changes in division of childcare tasks. [Dataset]. http://doi.org/10.1371/journal.pone.0242249.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Mara A. Yerkes; Stéfanie C. H. André; Janna W. Besamusca; Peter M. Kruyen; Chantal L. H. S. Remery; Roos van der Zwan; Debby G. J. Beckers; Sabine A. E. Geurts
    License

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

    Description

    Linear probability model: Changes in division of childcare tasks.

  15. d

    Corona Supplemental Survey to Adult Education Statistics – DIECovidSurvey -...

    • b2find.dkrz.de
    Updated May 11, 2023
    + more versions
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    (2023). Corona Supplemental Survey to Adult Education Statistics – DIECovidSurvey - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/0dbddbfa-0954-59f4-b269-c971ee78e037
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    Dataset updated
    May 11, 2023
    Description

    The DIECovidSurvey was conducted by the German Institute for Adult Education (DIE) in collaboration with the Deutscher Volkshochschul-Verband e.V. (dvv) in fall 2020 to examine the impact of the Corona pandemic on German adult education centers (vhs). The questionnaire was developed jointly by DIE and dvv. The core of the survey is detailed information about the range of events offered during the first lockdown in spring and early summer 2020, when events in attendance were prohibited. The questionnaire collects detailed information for each program area on the number of courses and individual events planned before the lockdown and actually held during the lockdown, as well as the event format (face-to-face/blended learning/online). Further contents of the survey concern the personnel and financial situation, the available space, effects of the pandemic on participant groups, the use of digital technologies including vhs.cloud, the inclusion of corona-related events in the program, assessments of the situation at the time of the survey, as well as future strategies and perceived challenges with regard to digitization and program design. The survey was conducted as an online survey in LimeSurvey, with an invitation to participate sent to all German vhs. (Project) Topics: Pre-pandemic room availability, semester rhythm and corona-related closing times, fee contracts, study trips/travel; Events offered: Politics - Society - Environment, Culture - Design, Health, Languages, Integration Courses and DeuFöV Courses, Qualifications for Working Life, School Leaving Certificates, Basic Education; Changes in course participants, summer programme 2020, current rooms and fee contracts, event planning autumn 2020, comparison of event offers autumn 2020/2019, difficulties in planning face-to-face events, difficulties in planning digital learning offers; Previous experience with digital learning offers & vhs.cloud, use of vhs.cloud, changes in cloud users, experience with digital learning offers in Pandemic, influence of Pandemic on digital learning offers; Failures and repayments of participation fees, public support measures, financial burdens, reference of educational offers to COVID-19, challenges Das DIECovidSurvey wurde vom Deutschen Institut für Erwachsenenbildung (DIE) in Zusammenarbeit mit dem Deutschen Volkshochschulverband (dvv) im Herbst 2020 durchgeführt, um die Auswirkungen der Corona-Pandemie auf die deutschen Volkshochschulen (vhs) zu untersuchen. Der Fragebogen wurde von DIE und dvv gemeinsam entwickelt. Kernstück der Befragung sind detaillierte Angaben über das Veranstaltungsangebot im ersten Lockdown im Frühling und Frühsommer 2020, als Veranstaltungen in Präsenz untersagt waren. Der Fragebogen erhebt detailliert für jeden Programmbereich die Zahl der vor Lockdown geplanten sowie im Lockdown tatsächlich durchgeführten Kurse und Einzelveranstaltungen sowie das Veranstaltungsformat (Präsenz/Blended Learning/Online). Weitere Inhalte der Befragung betreffen die personelle und finanzielle Situation, das verfügbare Raumangebot, Auswirkungen der Pandemie auf Teilnehmendengruppen, die Nutzung digitaler Technologien inklusive der vhs.cloud, die Aufnahme coronabezogener Veranstaltungen ins Programm, Einschätzungen der Lage zum Befragungszeitpunkt, sowie zukünftige Strategien und wahrgenommene Herausforderungen in Bezug auf Digitalisierung und Programmgestaltung. Die Erhebung wurde als Online-Befragung in LimeSurvey durchgeführt, wobei eine Aufforderung zur Teilnahme an alle deutschen vhs erging. (Projekt)

  16. Survey: covid effects on agricultural-food supply chain

    • data.europa.eu
    html
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    Joint Research Centre, Survey: covid effects on agricultural-food supply chain [Dataset]. https://data.europa.eu/data/datasets/2a04fc6e-f795-47fb-89d8-4d00fab3b025?locale=sl
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    htmlAvailable download formats
    Dataset authored and provided by
    Joint Research Centrehttps://joint-research-centre.ec.europa.eu/index_en
    License

    http://data.europa.eu/eli/dec/2011/833/ojhttp://data.europa.eu/eli/dec/2011/833/oj

    Description

    On 14 July 2020 the JRC launched a survey in all 24 EU official languages to monitor the impact of the coronavirus (COVID-19) pandemic on the EU’s agricultural-food supply chain - from farm to fork. Survey target were companies and businesses (including small enterprises and farmers) active in the production, distribution, processing, wholesale or retail stages of the agri-food supply chain. The aim was to investigate the resilience, constraints and responses of operators to COVID-19, all along the chain.
    Questions covered both the lockdown and easing of lockdown measures, exploring operators’ experiences, thoughts on future prospects and the measures they need to support their activities. Responses were helpful to provide relevant evidence to EU policymaking. The COVID-19 crisis is putting a significant strain on the EU’s agri-food supply chain. Measures introduced to slow down the spread of the pandemic - such as quarantine, increased border controls and the shutdown of the economy – imply profound effect on supply chain operators. The survey was closed on 15 January 2021. This dashboard illustrates the survey's results

  17. Z

    Survey on the Effects of COVID-19 on the Wellbeing of Mexico City Households...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Aug 9, 2022
    + more versions
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    Teruel Belismelis, Graciela (2022). Survey on the Effects of COVID-19 on the Wellbeing of Mexico City Households (ENCOVID-19 CDMX – JULY 2021) [Dataset]. https://data.niaid.nih.gov/resources?id=ZENODO_6974482
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    Dataset updated
    Aug 9, 2022
    Dataset provided by
    López Escobar, Emilio
    Perez-Hernandez, Victor
    Teruel Belismelis, Graciela
    License

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

    Area covered
    Mexico City, Mexico City, Mexico
    Description

    Amid the COVID-19 outbreak, the ENCOVID-19 CDMX provides information on the well-being of Mexico City households in four main domains: labor, income, mental health, and food insecurity. It offers timely information to understand the social consequences of the pandemic and the lockdown measures. It is a cross-sectional telephone survey that, in addition to the four main domains and a set of COVID19-related questions, includes key indicators to capture the impact of the pandemic on issues like education, social programs, and crime. This is the third dataset of the project, corresponding to July 2021, collected 15 months after the lockdown began in Mexico. Data collection was performed from July 19 to 31, 2021.

  18. d

    Data for: Thriving in a pandemic: determinants of excellent wellbeing among...

    • datadryad.org
    • data.niaid.nih.gov
    zip
    Updated Feb 3, 2022
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    Data for: Thriving in a pandemic: determinants of excellent wellbeing among New Zealanders during the 2020 COVID-19 lockdown; a cross-sectional survey [Dataset]. https://datadryad.org/stash/dataset/doi:10.5061/dryad.66t1g1k36
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    zipAvailable download formats
    Dataset updated
    Feb 3, 2022
    Dataset provided by
    Dryad
    Authors
    Ben Beaglehole; Jonathan Williman; Caroline Bell; James Stanley; Matthew Jenkins; Philip Gendall; Janet Hoek; Charlene Rapsey; Susanna Every-Palmer
    Time period covered
    2022
    Area covered
    New Zealand
    Description

    Methods of data collection are in the published paper and its parent (both open-access, see related works below). Briefly: Respondents were survey participants from an internet Panel survey firm. Data have been cleaned and processed: this was mostly simplifying/collapsing response options to fewer options for reporting.

  19. Mexico: factors influencing online consumption after COVID-19 lockdown 2020

    • statista.com
    Updated Jan 7, 2025
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    Statista (2025). Mexico: factors influencing online consumption after COVID-19 lockdown 2020 [Dataset]. https://www.statista.com/statistics/1134848/main-factors-consumers-decision-online-purchase-mexico/
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    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2020
    Area covered
    Mexico
    Description

    Quality was the main factor influencing online buying decisions in Mexico after the COVID-19 lockdown, according to a survey carried out in June, 2020. Close to 30 percent of survey respondents stated that they considered quality a determinant element when shopping online, while 22 percent of Mexicans surveyed said the same about price. Delivery time and cost where also aspects that concerned respondents. According to the same survey, as a result of lockdown measures implemented to contain the spread of the coronavirus (COVID-19) in Mexico, more than one third of Mexicans surveyed increased the time spent online shopping. The federal lockdown mandate in Mexico, known as 'Jornada nacional de sana distancia', took place between March 23 and May 30, 2020.

  20. Experiences of loneliness during the lockdown in the UK in 2020, by age

    • statista.com
    Updated Jun 9, 2020
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    Statista (2020). Experiences of loneliness during the lockdown in the UK in 2020, by age [Dataset]. https://www.statista.com/statistics/1120344/loneliness-during-the-lockdown-in-the-uk/
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    Dataset updated
    Jun 9, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 3, 2020 - Apr 5, 2020
    Area covered
    United Kingdom
    Description

    In April 2020, a survey carried out in the United Kingdom found that since the lockdown was imposed due to the coronavirus (COVID-19) pandemic, 37 percent of respondents aged between 18 and 24 years have experienced feeling lonely a little more than usual, while a further 15 percent said they experienced feeling lonely a lot more than usual.

    The latest number of cases in the UK can be found here. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

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Statista (2020). Poll on the second border lockdown's effect on Hungarians' travel plans 2020 [Dataset]. https://www.statista.com/statistics/1171683/hungary-second-border-lockdown-s-effect-on-travel-plans/
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Poll on the second border lockdown's effect on Hungarians' travel plans 2020

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Dataset updated
Sep 10, 2020
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2020
Area covered
Hungary
Description

According to the findings of the survey conducted in 2020, over 40 percent of Hungarians did not plan any foreign travels after September 1 due to financial reasons. Only 18 percent of respondents were affected by the government's decision to close the national border for the second time in order to stop the spread of the coronavirus (COVID-19).

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