PMC:7797241 / 36768-39669
Annnotations
{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/7797241","sourcedb":"PMC","sourceid":"7797241","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7797241","text":"Twitter: @rdbooton, @gushamilton, @leondanon, @katymeturner\nContributors: Conception and design of the study: LD, EBP. Acquisition of data: RDB, EBP, RW, KMET. Mathematical modelling: RDB, LM, LD, EBP, RMW, KMET. Coding and simulations: RDB. Analysis and interpretation of results: RDB, LM, LV, KJL, CH, PDB, IH, RL, FH, DL, LD, AP, EBP, RMW, KMET. Writing and drafting of the manuscript: RDB, LM, LV, KJL, CH, PDB, IH, RL, FH, DL, LD, AP, EBP, RMW, KMET. Approval of the submitted manuscript: RDB, LM, LV, KJL, CH, PDB, IH, RL, FH, DL, LD, AP, EBP, RMW, KMET.\nFunding: This work was supported by Global Public Health strand of the Elizabeth Blackwell Institute for Health Research, funded under the University of Bristol’s QR GCRF strategy (award number ISSF3: 204813/Z/16/Z). This work was also funded with support from Bristol UNCOVER (Bristol COVID Emergency Research, award number ISSF3: 204813/Z/16/Z) and Medical Research Council UK (award number MR/S004769/1). LM, KJL, EBP and KMET acknowledge the support from the NIHR Health Protection Research Unit in Behavioural Science and Evaluation at the University of Bristol (award number NIHR200877). This work was also supported by Health Data Research UK, which is funded by the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, National Institute for Health Research, Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (South Western Ireland), British Heart Foundation and Wellcome (award number CFC0129).\nCompeting interests: None declared.\nPatient consent for publication: Not required.\nProvenance and peer review: Not commissioned; externally peer reviewed.\nData availability statement: Data are available in a public, open access repository. All data relevant to the study are included in the article or uploaded as supplementary information. All model code are open source and available for download on GitHub: https://github.com/rdbooton/bricovmod. All data are freely available via the GOV.UK COVID-19 dashboard and ONS.\nSupplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or 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