{ "tag": [ "compiled" ], "id": "ocds-h6vhtk-029c94-2021-03-17T13:16:34Z", "date": "2021-03-17T13:16:34Z", "ocid": "ocds-h6vhtk-029c94", "initiationType": "tender", "tender": { "id": "C23431", "legalBasis": { "id": "32014L0024", "scheme": "CELEX" }, "title": "Implementation and Support Services Agreement for the COVID-19 Population Risk Assessment", "status": "complete", "classification": { "scheme": "CPV", "id": "72261000", "description": "Software support services" }, "mainProcurementCategory": "services", "description": "Implementation and Support Services for the QCovid(r) model which is embedded and incorporated in a service provided by NHS Digital and also for wider related use cases.", "lots": [ { "id": "1", "description": "In May 2020 a project to stratify the public based on their risk from COVID-19 was commissioned from NERVTAG (New and Emerging Respiratory Virus Threats Advisory Group) by the office of the Chief Medical Officer for England. NERVTAG established the parameters and brought together an academic team to add to their own expertise. This team was led by Oxford University Innovation Ltd.The title of the research project was \"Development and evaluation of a tool for predicting risk of short-term adverse outcomes due to COVID-19 in the general UK population\" and as part of this Oxford University Innovation Ltd developed the QCovid(r) model. The Grant award was published at the following link https://fundingawards.nihr.ac.uk/award/COVID-19-Risk%20Prediction%20ToolOxford University Innovation Ltd were the owners of the Intellectual Property Rights for the QCovid(r) model, created following the Grant Award above. 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NERVTAG established the parameters and brought together an academic team to add to their own expertise. This team was led by Oxford University and included researchers from the universities of Cambridge, Edinburgh, Queen Mary's London, Swansea, Leicester and Nottingham with the London School of Hygiene and Tropical Medicine, University College London, NHS Digital and NHS England. 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