22 datasets found
  1. Activities people will avoid once COVID-19 restrictions are lifted 2020

    • statista.com
    Updated Apr 3, 2025
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    Statista (2025). Activities people will avoid once COVID-19 restrictions are lifted 2020 [Dataset]. https://www.statista.com/statistics/1116242/things-people-will-try-and-avoid-once-covid-19-restrictions-are-lifted/
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    Dataset updated
    Apr 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 25, 2020 - May 31, 2020
    Area covered
    United Kingdom, United States, Germany
    Description

    As of May 31, some 56 percent of respondents in the United States stated that they will try and avoid sports events once the restrictions due to COVID-19 / coronavirus are lifted.

  2. U

    Replication Data for: The Politics of Pandemics: The Effect of Stay-At-Home...

    • dataverse-staging.rdmc.unc.edu
    pdf, tsv, txt +1
    Updated Dec 8, 2021
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    Shawn Patterson Jr.; Shawn Patterson Jr. (2021). Replication Data for: The Politics of Pandemics: The Effect of Stay-At-Home Orders on COVID-19 Mitigation [Dataset]. http://doi.org/10.15139/S3/4QUN5B
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    type/x-r-syntax(9378), tsv(468226), tsv(222522), tsv(975), tsv(20878638), txt(4358), tsv(7190534), txt(78401), type/x-r-syntax(22929), tsv(872), tsv(23962226), tsv(8990468), type/x-r-syntax(4337), tsv(423181), tsv(3514), tsv(4789), pdf(161860)Available download formats
    Dataset updated
    Dec 8, 2021
    Dataset provided by
    UNC Dataverse
    Authors
    Shawn Patterson Jr.; Shawn Patterson Jr.
    License

    https://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.15139/S3/4QUN5Bhttps://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.15139/S3/4QUN5B

    Description

    The COVID-19 pandemic has upended every aspect of American life. State governments responded quickly to protect public health and stabilize overwhelmed hospital systems. The most restrictive policy, the stay-at-home order, was seen by public health officials as a cornerstone of successful state mitigation strategies. But like many aspects of contemporary politics, support for these efforts took on a distinctly partisan hue. In this paper, I argue that party politics significantly affected state policy responses to COVID-19, which in turn limited mitigation efforts. To this point, I first demonstrate that Democratic governors were faster and more likely to adopt stay-at-home orders than Republicans. Next, using a synthetic control approach, I show that these orders caused residents to practice greater social distancing. Finally, I find that greater social distancing worked to "flattened the curve" by limiting the growth of COVID-19 cases. Together these findings show how party politics affected state pandemic responses and have important long-term implications as states begin lifting restrictions.

  3. Opinion on ride sharing after COVID-19 restrictions are lifted in the U.S....

    • statista.com
    Updated May 18, 2020
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    Statista (2020). Opinion on ride sharing after COVID-19 restrictions are lifted in the U.S. 2020 [Dataset]. https://www.statista.com/statistics/1128403/coronavirus-ride-sharing-level-of-comfort-us/
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    Dataset updated
    May 18, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 18, 2020
    Area covered
    United States
    Description

    As a result of the coronavirus (COVID-19) pandemic, travel behavior all across the globe has changed, particularly in terms of transportation preferences. According to a May 2020 survey, ** percent of respondents stated that they would be somewhat comfortable using ride sharing services after the COVID-19 travel restrictions are lifted in the United States. In contrast, ** percent respondents expressed that they would not be at all comfortable with using ride sharing services.

  4. Reduction in U.S. travel amid coronavirus crisis 2020

    • statista.com
    Updated Aug 5, 2021
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    Statista (2021). Reduction in U.S. travel amid coronavirus crisis 2020 [Dataset]. https://www.statista.com/statistics/1115382/reduction-in-travel-volume-amid-coronavirus-crisis-united-states/
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    Dataset updated
    Aug 5, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 28, 2020 - Jun 26, 2020
    Area covered
    United States
    Description

    Weekly travel volume in the United States remained flat during the week of June 20 to June 26, 2020, after a three percent drop the previous week compared with the week starting on February 22, 2020. While some U.S. federal states are beginning to lift restrictions, others are continuing lockdown amid the coronavirus pandemic.

  5. Citizens' Pulse 6/2021

    • services.fsd.tuni.fi
    zip
    Updated Oct 22, 2025
    + more versions
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    Finnish Social Science Data Archive (2025). Citizens' Pulse 6/2021 [Dataset]. http://doi.org/10.60686/t-fsd3537
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    zipAvailable download formats
    Dataset updated
    Oct 22, 2025
    Dataset provided by
    Finnish Social Science Data Archive
    License

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

    Description

    The Citizens' Pulse surveys examine Finnish attitudes and opinions in the context of the coronavirus pandemic (COVID-19). Main themes in the surveys include the activity and communication of authorities, compliance with regulations, future expectations, trust, and the respondents' own state of mind. The sixth collection round of 2021 surveyed the respondents' opinions on the reliability of the information provided by various Finnish authorities (e.g. the Finnish Institute for Health and Welfare) and members of various groups (e.g. health care employees, researchers) on the coronavirus crisis. The respondents were asked to evaluate how fair or unfair they thought Finnish society was at present and how well Finnish authorities (including the Government, Ministries, and other authorities such as the police and the Finnish Institute for Health and Welfare) had been prepared for disease outbreaks such as the coronavirus epidemic. The respondents' state of mind was examined with questions on various matters relating to health and well-being. The questions covered, for example, whether the respondents were worried about their own risk or the risk of people close to them of falling ill with COVID-19, the availability of health care for them and people close to them for issues unrelated to COVID-19, and their own mental well-being. Additionally, the respondents' concerns were charted with questions regarding livelihood and everyday life (e.g. whether they were worried about the adequacy of their income or the income of people close to them, the uncertainty regarding how long the exceptional circumstances would last, and their children's schooling). Next, the respondents' confidence in their future and experiences of stress were surveyed, and the respondents were asked to evaluate whether an atmosphere of crisis prevailed amongst Finns. The availability and findability of relevant information on the coronavirus crisis was charted. The respondents were asked whether they thought the communication of authorities had been impartial, reliable, valid, clear, swift, and open. Compliance with coronavirus restrictions was examined by asking the respondents whether they had observed the restrictions and recommendations set by authorities for preventing transmission of the virus, including maintaining safe distances, washing hands regularly, wearing a face mask, avoiding touching the eyes, nose or mouth with unwashed hands, using a hand sanitiser when available in public places, and minimising contacts with people outside immediate family and friends. Finally, the respondents' views on the coronavirus vaccine and the latest Government plan for lifting the restrictions imposed due to COVID-19, published shortly before the sixth data collection round, were surveyed. Background variables included the respondent's gender, age group, NUTS3 region of residence, highest level of education, household composition, and perceived financial situation of household.

  6. Public opinion on using hostels when COVID-19 restrictions lift as of May...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Public opinion on using hostels when COVID-19 restrictions lift as of May 2020 [Dataset]. https://www.statista.com/statistics/1128406/hostel-stays-after-coronavirus/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 18, 2020
    Area covered
    United States
    Description

    As a result of the coronavirus (COVID-19) pandemic, travel behavior all across the globe changed, particularly in terms of accommodation preference. According to the survey, as of May 2020, ** percent of respondents stated that they are somewhat comfortable staying at hostels after the travel restrictions are lifted in the United States. In contrast, ** percent respondents expressed that they are not at all comfortable with using hostels after this time.

  7. Direct and indirect effects of WFH.

    • plos.figshare.com
    xls
    Updated Nov 13, 2024
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    Sandra M. Leitner (2024). Direct and indirect effects of WFH. [Dataset]. http://doi.org/10.1371/journal.pone.0312299.t001
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    xlsAvailable download formats
    Dataset updated
    Nov 13, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Sandra M. Leitner
    License

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

    Description

    This paper analyses the relationship between working from home (WFH) and mental well-being at different stages during the first two critical years of the COVID-19 pandemic, when governments repeatedly imposed lockdowns and enacted WFH mandates to contain the spread of the virus. Using data from a representative survey conducted at four different time periods in 2020 (first lockdown, subsequent gradual reopening), 2021 (further lockdown) and 2022 (restrictions widely lifted) in the 27 EU member states, it examines the changing role of several mediators over time: work-family conflict, family-work conflict, stability, resilience, isolation, the importance of different support networks, workload, physical risk of contracting COVID-19 at work and housing conditions. For the first lockdown, it also differentiates by previous WFH experience, in terms of WFH novices and experienced WFH workers. It likewise differentiates by gender, in order to take the potential gendered nature of COVID-19 measures into account. The results point to several important mediators: for those who work from home, less family-work conflict and isolation, but greater stability, resilience, network support from family and friends, and superior housing conditions were associated with better mental well-being. The relevance of mediators was specific to certain stages of the pandemic. Stability was the most important mediator during the first lockdown. Work-family conflict and family-work conflict were only relevant during the first lockdown, while resilience and isolation mattered especially towards the end of the pandemic. Unlike established WFH workers, WFH novices had an advantage during the first lockdown, benefiting from lower family-work conflict and more helpful networks of family and friends. Our results differ by gender: for females who undertook WFH, important mediators were work-family conflict and family-work conflict. Both were related to adjustments they had to make in work and non-work hours in response to the enforced closure of schools and childcare facilities. For males who undertook WFH, support from networks of family and friends was an important mediator during the first lockdown.

  8. Public opinion on using rental homes when COVID-19 restrictions lift as of...

    • statista.com
    Updated May 18, 2020
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    Statista (2020). Public opinion on using rental homes when COVID-19 restrictions lift as of May 2020 [Dataset]. https://www.statista.com/statistics/1128402/coronavirus-comfort-staying-in-rentals-us/
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    Dataset updated
    May 18, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 18, 2020
    Area covered
    United States
    Description

    As a result of the coronavirus (COVID-19) pandemic, travel behavior all across the globe changed, particularly in terms of accommodation preference. According to the survey, as of May 2020, ** percent of respondents stated that they are somewhat comfortable staying in rental homes after the travel restrictions are lifted in the United States. In contrast, more than half of the total respondents expressed that they are not as comfortable to stay in rental homes after this time.

  9. f

    datasheet1_Epidemiological Characteristics of COVID-19 in Mexico and the...

    • datasetcatalog.nlm.nih.gov
    Updated Dec 21, 2020
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    Ricardo, Cristy Leonor Azanza; Hernandez-Vargas, Esteban A. (2020). datasheet1_Epidemiological Characteristics of COVID-19 in Mexico and the Potential Impact of Lifting Confinement Across Regions.pdf [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000554254
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    Dataset updated
    Dec 21, 2020
    Authors
    Ricardo, Cristy Leonor Azanza; Hernandez-Vargas, Esteban A.
    Area covered
    Mexico
    Description

    The novel coronavirus SARS-CoV-2 has paralyzed our societies, leading to self-isolation and quarantine for several days. As the 10th most populated country in the world, Mexico is on a major threat by COVID-19 due to the limitations of intensive care capacities, about 1.5 hospital beds for every 1,000 citizens. In this paper, we characterize the COVID-19 pandemic in Mexico and projected different scenarios to evaluate sharp or gradual quarantine lifting strategies. Mexican government relaxed strict social distancing regulations on June 1, 2020, deriving to pandemic data with large fluctuations and uncertainties of the tendency of the pandemic in Mexico. Our results suggest that lifting social confinement must be gradually sparse while maintaining a decentralized region strategy among the Mexican states. To substantially lower the number of infections, simulations highlight that a fraction of the population that represents the elderly should remain in social confinement (approximately 11.3% of the population); a fraction of the population that represents the confined working class (roughly 27% of the population) must gradually return in at least four parts in consecutive months; and to the last a fraction of the population that assumes the return of students to schools (about 21.7%). As the epidemic progresses, deconfinement strategies need to be continuously re-adjusting with the new pandemic data. All mathematical models, including ours, are only a possibility of many of the future, however, the different scenarios that were developed here highlight that a gradual decentralized region deconfinement with a significant increase in healthcare capacities is paramount to avoid a high death toll in Mexico.

  10. f

    Table_2_Characterizing Pet Acquisition and Retention During the COVID-19...

    • figshare.com
    docx
    Updated May 30, 2023
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    Christy L. Hoffman; Melissa Thibault; Julie Hong (2023). Table_2_Characterizing Pet Acquisition and Retention During the COVID-19 Pandemic.DOCX [Dataset]. http://doi.org/10.3389/fvets.2021.781403.s002
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    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Christy L. Hoffman; Melissa Thibault; Julie Hong
    License

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

    Description

    In March 2020, Americans began experiencing numerous lifestyle changes due to the COVID-19 pandemic. Some reports have suggested that pet acquisition and ownership increased during this period, and some have suggested shelters and rescues will be overwhelmed once pandemic-related restrictions are lifted and lifestyles shift yet again. In May 2021, the ASPCA hired the global market research company Ipsos to conduct a general population survey that would provide a more comprehensive picture of pet ownership and acquisition during the pandemic. Although pet owners care for a number of species, the term pet owner in this study specifically refers to those who had dogs and/or cats. One goal of the survey was to determine whether data from a sample of adults residing in the United States would corroborate findings from national shelter databases indicating that animals were not being surrendered to shelters in large numbers. Furthermore, this survey gauged individuals' concerns related to the lifting of COVID-19 restrictions, and analyses examined factors associated with pet owners indicating they were considering rehoming an animal within the next 3 months. The data showed that pet ownership did not increase during the pandemic and that pets may have been rehomed in greater numbers than occurs during more stable times. Importantly, rehomed animals were placed with friends, family members, and neighbors more frequently than they were relinquished to animal shelters and rescues. Findings associated with those who rehomed an animal during the pandemic, or were considering rehoming, suggest that animal welfare organizations have opportunities to increase pet retention by providing resources regarding pet-friendly housing and affordable veterinary options and by helping pet owners strategize how to incorporate their animals into their post-pandemic lifestyles.

  11. COVID-19 complete BG dataset with vaccinated

    • kaggle.com
    zip
    Updated May 30, 2021
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    Medaxone (2021). COVID-19 complete BG dataset with vaccinated [Dataset]. https://www.kaggle.com/medaxone/covid19-complete-bg-dataset-with-vaccinated
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    zip(27906 bytes)Available download formats
    Dataset updated
    May 30, 2021
    Authors
    Medaxone
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    Coronavirus infection is currently the most important health topic. It surely tested and continues to test to the fullest extent the healthcare systems around the world. Although big progress is made in handling this pandemic, a tremendous number of questions are needed to be answered. I hereby present to you the local Bulgarian COVID-19 dataset with some context. It could be used as a comparator because it stands out compared to other countries and deserves analysis.

    Context for Bulgarian population: Population - 6 948 445 Median age - 44.7 years Aged >65 - 20.801 % Aged >70 - 13.272%

    Summary of the results: - first pandemic wave was weak, probably because of the early state of emergency (5 days after the first confirmed case). Whether this was a good decision or it was too early and just postpone the inevitable is debatable. -healthcare system collapses (probably due to delayed measures) in the second and third waves which resulted in Bulgaria gaining the top ranks for mortality and morbidity tables worldwide and in the EU. - low percentage of vaccinated people results in a prolonged epidemic and delaying the lifting of the preventive measures.

    Some of the important moments that should be considered when interpreting the data: 08.03.2020 - Bulgaria confirmed its first two cases. The government issued a nationwide ban on closed-door public events (first lockdown); 13.03.2020- after 16 reported cases in one day, Bulgaria declared a state of emergency for one month until 13.04.2020. Schools, shopping centres, cinemas, restaurants, and other places of business were closed. All sports events were suspended. Only supermarkets, food markets, pharmacies, banks, and gas stations remain open. 03.04.2020 - The National Assembly approved the government's proposal to extend the state of emergency by one month until 13.05.2020; 14.05.2020 - the national emergency was lifted, and in its place was declared a state of an emergency epidemic situation. Schools and daycares remain closed, as well as shopping centers and indoor restaurants; 18.05.2020 - Shopping malls and fitness centers opened; 01.06.2020 - Restaurants and gaming halls opened; 10.07.2020 - discos and bars are closed, the sports events are without an audience; 29.10.2020 - High school and college students are transitioning to online learning; 27.11.2020 - the whole education is online, restaurants, nightclubs, bars, and discos are closed (second lockdown 27.11 - 21.12); 05.12.2020 - the 14-day mortality rate is the highest in the world; 16.01.2021 - some of the students went back to school; 01.03.2021 - restaurants and casinos opened; 22.03.2021 - restaurants, shopping malls, fitness centers, and schools are closed (third lockdown for 10 days - 22.03 - 31.03); 19.04.2021 - children daycare facilities, fitness centers, and nightclubs are opened;

    Content

    This dataset consists of 447 rows with 29 columns and covers the period 08.03.2020 - 28.05.2021. In the beginning, there are some missing values until the proper statistical report was established.

    Inspiration

    A publication proposal is sent to anyone who wishes to collaborate. Based on the results and the value of the findings and the relevance of the topic it is expected to publish: - in a local journal (guaranteed); - in a SCOPUS journal (highly probable); - in an IF journal (if the results are really insightful).

    The topics could be, but not limited to: - descriptive analysis of the pandemic outbreak in the country; - prediction of the pandemic or the vaccination rate; - discussion about the numbers compared to other countries/world; - discussion about the government decisions; - estimating cut-off values for step-down or step-up of the restrictions.

    Error or query reporting

    If you find an error, have a question, or wish to make a suggestion, I encourage you to reach me.

  12. Opinion on travels to small cities after lifting COVID-19 restrictions in...

    • statista.com
    Updated Nov 15, 2020
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    Statista (2020). Opinion on travels to small cities after lifting COVID-19 restrictions in Japan 2020 [Dataset]. https://www.statista.com/statistics/1139247/japan-opinion-travel-suburban-cities-after-coronavirus/
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    Dataset updated
    Nov 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 27, 2020 - Apr 29, 2020
    Area covered
    Japan
    Description

    According to a survey conducted in April 2020 in Japan, the majority of respondents, almost ** percent, would go on travels to less crowded suburban areas after some time, if restrictions related to the coronavirus (COVID-19) outbreak were relaxed or lifted. Following the declaration of the state of emergency in several prefectures at the beginning of the month, the emergency order was extended to a nationwide level on April 16. With the government requesting citizens to practice self-restraint and remain at home, domestic travels were restricted and entry bans were issued for inbound travelers.

  13. Opinion on nature travels after lifting COVID-19 restrictions in Japan 2020

    • statista.com
    Updated Nov 15, 2020
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    Statista (2020). Opinion on nature travels after lifting COVID-19 restrictions in Japan 2020 [Dataset]. https://www.statista.com/statistics/1139276/japan-opinion-travel-natural-regions-after-coronavirus/
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    Dataset updated
    Nov 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 27, 2020 - Apr 29, 2020
    Area covered
    Japan
    Description

    According to a survey conducted in April 2020 in Japan, over ** percent of respondents would go on travels to regions rich in nature after some time, if restrictions related to the coronavirus (COVID-19) outbreak were relaxed or lifted. Following the declaration of the state of emergency in several prefectures at the beginning of the month, the emergency order was extended to a nationwide level on April 16. With the government requesting citizens to practice self-restraint and remain at home, domestic travels were restricted and entry bans were issued for inbound travelers.

  14. f

    Policy dates and characteristics.

    • figshare.com
    xls
    Updated Aug 30, 2023
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    Kent Ross; Daniel J. Dutton (2023). Policy dates and characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0283711.t001
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    xlsAvailable download formats
    Dataset updated
    Aug 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Kent Ross; Daniel J. Dutton
    License

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

    Description

    BackgroundPublic health policies designed to influence individuals’ infection-control behaviour are a tool for governments to help prevent the spread of disease. Findings on the impacts of policies are mixed and there is limited information on the effects of removing restrictions and how policies impact behavioural trends.MethodsWe use low-acuity emergency department visits from 12 hospitals in New Brunswick, Canada, (January 2017 –October 2021) as a proxy for infection-control behaviour and provide insight into the effects of the COVID-19 virus on a population with a low prevalence of cases. Quasi-experimental techniques (event studies) are applied to estimate the magnitude and persistence of effects of specific events (e.g., policy changes), to control for COVID-19 cases and vaccines, and to explore how the effectiveness of policy changes during the pandemic as more policies are introduced.ResultsInitial tightening of restrictions on March 11, 2020 reduced low-acuity emergency department visits by around 60% and reached a minimum after 30 days. Relaxing policies on social gatherings and personal services gradually increased low-acuity emergency department visits by approximately 50% after 44 days. No effects were found from policies lifting all restrictions, and reinstating a state of emergency on July 31, 2021, and September 24, 2021.ConclusionThese results suggest that policy interventions are less likely to be effective at influencing infection control behaviour with time and more policies introduced, and that tracking and publicly reporting case numbers can influence infection control behaviour.

  15. Opinion on traveling locally after lifting COVID-19 restrictions in Japan...

    • statista.com
    Updated Oct 9, 2025
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    Statista (2025). Opinion on traveling locally after lifting COVID-19 restrictions in Japan 2020 [Dataset]. https://www.statista.com/statistics/1139288/japan-opinion-travel-local-prefecture-after-coronavirus/
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    Dataset updated
    Oct 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 27, 2020 - Apr 29, 2020
    Area covered
    Japan
    Description

    According to a survey conducted in April 2020 in Japan, over ** percent of respondents would go on local travels within the prefectures they reside in after some time, if restrictions related to the coronavirus (COVID-19) outbreak were relaxed or lifted. Following the declaration of the state of emergency in several prefectures at the beginning of the month, the emergency order was extended to a nationwide level on April 16. With the government requesting citizens to practice self-restraint and remain at home, domestic travels were restricted and entry bans were issued for inbound travelers.

  16. Public opinion on using B&Bs after COVID-19 restrictions lifted as of May...

    • statista.com
    Updated May 18, 2020
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    Statista (2020). Public opinion on using B&Bs after COVID-19 restrictions lifted as of May 2020 [Dataset]. https://www.statista.com/statistics/1128399/coronavirus-bandb-level-of-comfort-us/
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    Dataset updated
    May 18, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 18, 2020
    Area covered
    United States
    Description

    As a result of the coronavirus (COVID-19) pandemic, travel behavior all across the globe changed, particularly in terms of accommodation preference. According to the survey, as of May 2020, ** percent of respondents stated that they are somewhat comfortable staying at traditional bed and breakfasts after the travel restrictions are lifted in the United States. In contrast, ** percent of respondents expressed that they are not at all comfortable to stay at traditional bed and breakfasts after this time.

  17. Covid-19 reopening: timeline for car shoppers to return to dealerships

    • statista.com
    Updated May 27, 2020
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    Statista (2020). Covid-19 reopening: timeline for car shoppers to return to dealerships [Dataset]. https://www.statista.com/statistics/1122135/timeline-for-vehicle-shoppers-to-purchase-once-restrictions-are-lifted/
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    Dataset updated
    May 27, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2020
    Area covered
    United States
    Description

    Out of 575 survey participants in the U.S. who delayed purchasing a new vehicle during COVID-19 restrictions in 2020, nearly half of the participants claimed that they would feel comfortable buying a vehicle from a dealership within ** days of the restrictions being lifted. Only ***** percent of respondents said that they would wait at least six months after restrictions have been lifted. Restrictions in the U.S. Like many countries worldwide, measures to slow down and control the spread of COVID-19 on a national scale were implemented across several U.S. states. Such measures included the temporary closure of schools, bars, restaurants, and movie theaters, along with the cancellation or postponement of several large public events. While online activity in the U.S. has steadily increased during the pandemic, e-tailers in the automotive industry are predicting a decrease in sales: projected auto sales growth for 2020 in the U.S. are anticipated to be **** percent below the level *** year earlier. Post-lockdown behavior Respondents in this survey were also asked whether they would feel comfortable performing other activities after COVID-19 restrictions were lifted. A total of ** percent of respondents stated that they were comfortable buying a vehicle from a dealership within a month of restrictions being lifted, ** percent claimed that they would feel comfortable returning to work, ** percent would dine in at a restaurant, and only ** percent would travel via airplane.

  18. Reasons youth stopped playing sports after COVID-19 in the U.S. 2020

    • statista.com
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    Statista, Reasons youth stopped playing sports after COVID-19 in the U.S. 2020 [Dataset]. https://www.statista.com/statistics/1233329/discontinuation-youth-sports-covid/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 1, 2020 - Sep 27, 2020
    Area covered
    United States
    Description

    The coronavirus (COVID-19) pandemic had a significant impact on the sports industry, from professional sports leagues to youth sports participation. Even when sports participation became possible once more, there were several reasons that some children discontinued playing sports. During a September 2020 survey among parents in the United States, the most common reason for children stopping sports after coronavirus restrictions were lifted was health risks.

  19. Days it took for COVID-19 deaths to double select countries worldwide as of...

    • statista.com
    Updated Dec 15, 2020
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    Statista (2020). Days it took for COVID-19 deaths to double select countries worldwide as of Dec. 13 [Dataset]. https://www.statista.com/statistics/1104836/days-for-covid19-deaths-to-double-select-countries-worldwide/
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    Dataset updated
    Dec 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The time it takes for the number of COVID-19 deaths to double varies by country. The doubling rate in the United States was 139 days as of December 13, 2020. In comparison, the number of confirmed deaths in Australia doubled from 450 to 908 in the space of 117 days between August 18 and December 13, 2020.

    COVID-19: We are all in this together The commitment of civilians to follow basic hygiene measures and maintain social distancing must continue. The wellbeing of populations cannot be jeopardized, and young people must also engage in the response. In Australia, the 20- to 29-year-old age group accounts for the highest number of COVID-19 cases. With lockdown restrictions lifted, many people have returned to their regular routines and jumped back into socializing. However, there are concerns about complacency and suggestions that young adults could be driving spikes in coronavirus cases.

    Receive coronavirus warnings on your smartphone It is of paramount importance that countries keep a vigilant eye on the spread of the coronavirus. One way of doing so is to invest in track and trace surveillance systems. Electronic tools are not essential, but many countries are using contact-tracing smartphone apps to make the tracking of cases more efficient. In June 2020, a contact-tracing app was rolled out across Japan, and it received nearly eight million downloads in the first month. A COVID-19 alert app was also launched in Canada at the end of July 2020. The smartphone software is initially being piloted in Ontario, but it will soon be possible for people in other provinces to use the app and report a diagnosis.

  20. Children's sports planned participation after COVID-19 in the U.S. 2020

    • statista.com
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    Statista, Children's sports planned participation after COVID-19 in the U.S. 2020 [Dataset]. https://www.statista.com/statistics/1233326/youth-sports-participation-plans-covid/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 1, 2020 - Sep 27, 2020
    Area covered
    United States
    Description

    The coronavirus (COVID-19) pandemic had a significant impact on the sports industry, from professional sports leagues to youth sports participation. Even when coronavirus restrictions were lifted, there were differing plans among parents for allowing their children to resume participating in sports. During a September 2020 survey among parents in the United States, 50.2 percent of respondents said they would allow their child to resume sports participation at the same level as before the pandemic, while 11.4 percent were still undecided.

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Statista (2025). Activities people will avoid once COVID-19 restrictions are lifted 2020 [Dataset]. https://www.statista.com/statistics/1116242/things-people-will-try-and-avoid-once-covid-19-restrictions-are-lifted/
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Activities people will avoid once COVID-19 restrictions are lifted 2020

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Dataset updated
Apr 3, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
May 25, 2020 - May 31, 2020
Area covered
United Kingdom, United States, Germany
Description

As of May 31, some 56 percent of respondents in the United States stated that they will try and avoid sports events once the restrictions due to COVID-19 / coronavirus are lifted.

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