Datasets
- 8 results
Search results
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Protocol for a systematic review of relative risks for Covid-19 related to working within occupational sectors where workplace attendance is essential
Rhodes, S. (Creator), Stocking, K. (Creator), Gittins, M. (Creator), Mcelvenny, D. (Creator), Daniels, S. (Creator), Fowler, K. (Creator), Van Tongeren, M. (Creator) & pe, L. (Creator), University of Manchester Figshare, 13 Jan 2022
DOI: 10.48420/16558035.v2, https://figshare.manchester.ac.uk/articles/preprint/Protocol_for_a_systematic_review_of_relative_risks_for_Covid-19_related_to_working_within_occupational_sectors_where_workplace_attendance_is_essential/16558035/2
Dataset
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Occupational Risk of COVID-19 Transmission
Rhodes, S. (Creator) & Beale, S. (Creator), University of Manchester Figshare, 7 Feb 2022
DOI: 10.48420/19130717, https://figshare.manchester.ac.uk/articles/presentation/Occupational_Risk_of_COVID-19_Transmission/19130717
Dataset
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The effect of using social pressure in cover letters to improve retention in a longitudinal health study: an embedded randomised controlled retention trial
Cotterill, S. (Contributor), Howells, K. (Contributor), Rhodes, S. (Contributor) & Bower, P. (Contributor), figshare , 20 Jul 2017
DOI: 10.6084/m9.figshare.c.3832360.v1, https://figshare.com/collections/The_effect_of_using_social_pressure_in_cover_letters_to_improve_retention_in_a_longitudinal_health_study_an_embedded_randomised_controlled_retention_trial/3832360/1
Dataset
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SAP: The effect of sending advanced notification to trial participants two weeks before outcome data collection to improve retention: an embedded randomised controlled trial in the WORKWELL trial
Rhodes, S. (Creator), cotterill, S. (Creator), Hammond, A. (Creator), Forshaw, D. (Creator), Haig, A. (Creator) & Sutton, C. (Creator), University of Manchester Figshare, 26 Oct 2021
DOI: 10.48420/16854517.v1, https://figshare.manchester.ac.uk/articles/online_resource/SAP_The_effect_of_sending_advanced_notification_to_trial_participants_two_weeks_before_outcome_data_collection_to_improve_retention_an_embedded_randomised_controlled_trial_in_the_WORKWELL_trial/16854517/1
Dataset
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Comparison of reported relative risks for health care, transport, and food processing workers
Rhodes, S. (Creator), Stocking, K. (Creator), Van tongeren, M. (Creator), Gittins, M. (Creator) & Pearce, N. (Creator), University of Manchester Figshare, 27 Oct 2021
DOI: 10.48420/16871797.v1, https://figshare.manchester.ac.uk/articles/presentation/Comparison_of_reported_relative_risks_for_health_care_transport_and_food_processing_workers/16871797/1
Dataset
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Occupational differences in COVID-19 infection in the UK ONS Coronavirus (COVID-19) Infection Survey
Rhodes, S. (Creator), Wilkinson, J. (Creator), Van Tongeren, M. (Creator), Pearce, N. (Creator), Cherrie, M. (Creator) & Mueller, W. (Creator), University of Manchester Figshare, 30 Mar 2022
DOI: 10.48420/19453850.v1, https://figshare.manchester.ac.uk/articles/presentation/Occupational_differences_in_COVID-19_infection_in_the_UK_ONS_Coronavirus_COVID-19_Infection_Survey/19453850/1
Dataset
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Slides for UKCOTS Conference Manchester June 2024. Setting a problem without a right answer: Application exercises for Teams-Based Learning (TBL) in Evidence Based Medicine
Rhodes, S. (Creator) & Sutton, C. (Creator), University of Manchester Figshare, 11 Jun 2024
DOI: 10.48420/26013667, https://figshare.manchester.ac.uk/articles/presentation/Slides_for_UKCOTS_Conference_Manchester_June_2024_Setting_a_problem_without_a_right_answer_Application_exercises_for_Teams-Based_Learning_TBL_in_Evidence_Based_Medicine/26013667
Dataset
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DAGs of occupation and COVID V1.pdf
Wilkinson, J. (Creator), Beale, S. (Creator), Cherrie, M. (Creator), Edge, R. (Creator), Fishwick, D. (Creator), Gittins, M. (Creator), Katikireddi, S. V. (Creator), Mcelvenny, D. (Creator), Nafilyan, V. (Creator), Pearce, N. (Creator), Rhodes, S. (Creator) & Van Tongeren, M. (Creator), University of Manchester Figshare, 22 Oct 2021
DOI: 10.48420/16847158.v1, https://figshare.manchester.ac.uk/articles/preprint/DAGs_of_occupation_and_COVID_V1_pdf/16847158/1
Dataset