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        <formatdesc>Covid-19 physical activity dataset. THIS VERSION HAS BEEN SUPERSEDED BY https://doi.org/10.17037/DATA.00002091</formatdesc>
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    <datestamp>2020-05-26 10:25:43</datestamp>
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          <family>Roberts</family>
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          <family>Brindle</family>
          <given>Hannah</given>
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          <family>Enria</family>
          <given>Luisa</given>
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      <item>
        <name>
          <family>Lees</family>
          <given>Shelley</given>
        </name>
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    </creators>
    <corp_creators>
      <item>London School of Hygiene &amp; Tropical Medicine, London, United Kingdom</item>
      <item>University College London, London, United Kingdom</item>
      <item>University of Bath, Bath, United Kingdom</item>
    </corp_creators>
    <title>Behavioural change towards reduced intensity physical activity is disproportionately prevalent among adults with serious health issues or self-perception of high risk during the UK COVID-19 lockdown.</title>
    <divisions>
      <item>EPID</item>
      <item>ITCR</item>
      <item>PHGH</item>
    </divisions>
    <keywords>
      <item>COVID-19</item>
      <item>Physical Activity</item>
      <item>Health Behaviours</item>
    </keywords>
    <note>This dataset has been superseded by an updated version, available at https://doi.org/10.17037/DATA.00002091. The two versions differ only in the number of responses (5820 in version 1,  9190 responses in version 2). Data access to the first version has been automatically restricted, but it may be requested by clicking the request button</note>
    <abstract>Quantitative data on physical activity and health behaviours during the UK COVID-19 lockdown.

Anonymous survey data were collected online between 2020-04-06 and 2020-04-22, roughly mapping to weeks 3-5 of the lockdown in the UK.  The main survey included 49 questions which covered a broad range of topics including (1) Demographics, (2) Health and Health Behaviours, (3) Adherence to COVID-19 Control measures, (4) Information sources used to learn about COVID-19, (5) Trust in various information sources, government and government decision-making, (6) Rumours and misinformation, (7) Contact &amp; Communication during COVID-19 and (8) Fear and Isolation.

This data set includes 20 variables and 5,820 responses and relates to medRxiv submission MEDRXIV/2020/098921 - Version 1. It has been superseded by version 2 of the dataset, which can be found at https://doi.org/10.17037/DATA.00002091.</abstract>
    <date>2020-05-12</date>
    <date_type>completed</date_type>
    <publisher>London School of Hygiene &amp; Tropical Medicine</publisher>
    <id_number>10.17037/DATA.00001753</id_number>
    <data_type>Dataset</data_type>
    <copyright_holders>
      <item>London School of Hygiene &amp; Tropical Medicine, London, United Kingdom</item>
    </copyright_holders>
    <research_groups>
      <item>LSHTM Global Health Analytics Group</item>
    </research_groups>
    <collection_mode>
      <item>SelfAdministeredQuestionnaire</item>
    </collection_mode>
    <full_text_status>restricted</full_text_status>
    <place_of_pub>London, United Kingdom</place_of_pub>
    <funders>
      <item>National Institute for Health Research (NIHR)</item>
      <item>National Institute for Health Research (NIHR)</item>
    </funders>
    <projects>
      <item>The Emergency and Epidemic Data Kit (EDK)</item>
      <item>Anthropological Exploration of Facilitators and Barriers to Vaccine Deployment and Administration During Disease Outbreaks (AViD)</item>
    </projects>
    <resourcetype>
      <resourcetypegeneral>Dataset</resourcetypegeneral>
      <resourcetype>Quantitative</resourcetype>
    </resourcetype>
    <collection_method>The survey was publicised using a ‘daisy-chaining’ approach in which respondents were asked to share and to encourage onward sharing of the survey’s Uniform Resource Locator (URL) among friends &amp; colleagues. The study team directly targeted a number of faith institutions, schools and special interest groups and also used Facebook’s premium “Boost Post” feature. A “boosted” post functions as an advert which can be targeted at specific demographics. We boosted details of the survey and it’s URL to a target audience of 113,280 Facebook users aged 13-65+ years and living in England, Wales, Scotland and Northern Ireland. Participants were also provided with URL links to a set of freely available summary reports and analyses which were periodically updated in near-real time. 

We used an ODK XForm (https://getodk.github.io/xforms-spec/) deployed on Enketo smart paper (https://enketo.org/) via ODK Aggregate v.2.0.3 (https://github.com/getodk/aggregate). Form level encryption and end-to-end encryption of data transfer were implemented on all submissions.</collection_method>
    <grant>PR-OD-1017-20001</grant>
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    <language>
      <item>en</item>
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    <collection_date>
      <date_from>2020-04-06</date_from>
      <date_to>2020-04-22</date_to>
    </collection_date>
    <related_resources>
      <item>
        <title>COVID-19 Physical Activity dataset - version 2</title>
        <url>https://doi.org/10.17037/DATA.00002091</url>
        <type>dataresource</type>
      </item>
    </related_resources>
    <repo_link>
      <item>
        <title>Behavioral Change Towards Reduced Intensity Physical Activity Is Disproportionately Prevalent Among Adults With Serious Health Issues or Self-Perception of High Risk During the UK COVID-19 Lockdown</title>
        <link>https://researchonline.lshtm.ac.uk/id/eprint/4658132</link>
      </item>
    </repo_link>
    <funders_info>
      <item>
        <project>The Emergency and Epidemic Data Kit (EDK)</project>
        <funder_name>National Institute for Health Research (NIHR)</funder_name>
        <grant>PR-OD-1017-20001</grant>
        <funder_id>http://dx.doi.org/10.13039/501100000272</funder_id>
      </item>
      <item>
        <project>Anthropological Exploration of Facilitators and Barriers to Vaccine Deployment and Administration During Disease Outbreaks (AViD)</project>
        <funder_name>National Institute for Health Research (NIHR)</funder_name>
        <grant>PHGHZO4113</grant>
        <funder_id>http://dx.doi.org/10.13039/501100000272</funder_id>
      </item>
    </funders_info>
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      <item>
        <funder_name>National Institute for Health Research (NIHR)</funder_name>
        <grant>PR-OD-1017-20001</grant>
      </item>
      <item>
        <funder_name>National Institute for Health Research (NIHR)</funder_name>
      </item>
    </project_funders_info>
    <ukri_date_sub>2020-05-12</ukri_date_sub>
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