1859 27 8867 2 42199 document 8867 UK_COVID-19_Trust_Survey_Data_Qualitative.txt text/plain c1d14ed09a1ee2a1d9a89c3f98063649e62770b1266f2c42aa89d7dcab933748 SHA256 81 2020-09-08 16:00:48 https://datacompass.lshtm.ac.uk/id/eprint/1859/1/UK_COVID-19_Trust_Survey_Data_Qualitative.txt 1859 1 1 text/plain Text en staffonly datasharingagreement

UK_COVID-19_Trust_Survey_Data_Qualitative.txt

data indefinite Qualitative responses to survey questions on trust and transparency 8868 1 42209 document 8868 indexcodes.txt text/plain 988de4bc3cd1ad6ee1bc80b0dec045ef55c23ae18e6d03c8cd09e665e150664a SHA256 54 2020-09-08 16:21:01 https://datacompass.lshtm.ac.uk/id/eprint/1859/2/indexcodes.txt 1859 2 2 text/plain en staffonly

indexcodes.txt

http://eprints.org/relation/isVersionOf https://datacompass.lshtm.ac.uk/id/document/8867 http://eprints.org/relation/isVolatileVersionOf https://datacompass.lshtm.ac.uk/id/document/8867 http://eprints.org/relation/isIndexCodesVersionOf https://datacompass.lshtm.ac.uk/id/document/8867 indefinite Generate index codes conversion from Text to indexcodes archive 161 disk0/00/00/18/59 2020-09-08 16:17:37 2025-12-09 14:59:48 2020-09-08 16:17:37 data_collection show Enria Luisa 0000-0002-6336-6531 TRUE 865043b2b5bf6b3905a6ea264d7eec4b Waterlow Naomi 0000-0002-9210-9657 TRUE a7445a17206f090798923469cfdefa2e Rogers Nina 0000-0003-1857-2122 FALSE Brindle Hannah 0000-0003-1684-5801 TRUE e18f1ec8175d855d49347bfb4bcecd55 Lal Sham 0000-0002-3650-1398 TRUE 6dd637d601482cb95555ec26f0b077cb Eggo Rosalind M. 0000-0002-0362-6717 TRUE e0ff5a039c078e9e199e28138679e7e8 Lees Shelley 0000-0003-0062-7930 TRUE 666c9067368f4c46b654f275fec4b119 Roberts Chrissy 0000-0003-1064-5980 TRUE f582d81641c564828fb9d73f4f9dc4db London School of Hygiene & Tropical Medicine, London, United Kingdom University College London (UCL), London, United Kingdom University of Bath, Bath, United Kingdom EPID ITCR PHGH COVID-19 TRUST UK Government Mixed methods Transparancy SARS-CoV-2 Coronavirus The quantitative dataset associated with the study may be found at https://doi.org/10.17037/DATA.00001851. A qualitative dataset that contains free-text responses collected during a survey of public perceptions of the UK government's response during the first wave (April 2020) of the COVID-19 pandemic, with specific focus upon the relationship between trust and transparency. It contains free text responses of approximately 7,600 people, drawn from a total of 9,322 respondents who completed the online questionnaire. Respondents were asked the question "Do you think that the government tells you the whole truth about coronavirus and COVID-19?" with the possible answers "Always","Mostly","Sometimes","Almost never", "Never" and "I don't know". Those who did not answer "Always" were then asked to "Briefly describe what it is that you think the government is not being fully truthful about?" 2020-09-03 completed London School of Hygiene & Tropical Medicine 10.17037/DATA.00001859 Dataset London School of Hygiene & Tropical Medicine, London, United Kingdom LSHTM Global Health Analytics Group SelfAdministeredQuestionnaire.FixedForm.WebBased http://purl.org/dc/terms/isPartOf /id/eprint/1860 41 KFD vaccine_confidence SO-SPT-HP SP restricted London, United Kingdom Dataset Qualitative Anonymous survey data from UK residents were collected online between 2020-04-06 and 2020-04-22 using an Open Data Kit (ODK) XLSForm (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. The survey contained 49 questions, which covered topics on (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 & Communication during COVID-19; and (8) Fear and Isolation. The survey was distributed using Facebook’s premium “Boost Post” feature, which enables a post to function as an advert that can be targeted at specific demographics. The study team boosted details of the survey and its URL to a target audience of 113,280 Facebook users aged 13-65+ years and living in England, Wales, Scotland and Northern Ireland. The survey was further distributed using a ‘daisy-chaining’ approach in which respondents were asked to share and encourage onward sharing of the survey’s Uniform Resource Locator (URL) among friends & colleagues. A number of faith institutions, schools and special interest groups were also contacted directly for assistance in dissemination of the URL. A mixed methods approach was taken to data analysis, combining statistical analyses, structural topic modelling (STM) and qualitative thematic coding of a sub-set of responses. Missing data were imputed via multiple imputation. 59.1683 2.4137 49.5441 -12.5277 en 2020-04-06 2020-04-22 https://doi.org/10.17037/DATA.00001851 data https://researchonline.lshtm.ac.uk/id/eprint/4659685 2020-09-03