The new £2 million joint funding call to enhance understanding of COVID-19 through the application of new statistical, data science and advanced analytics approaches forms part of “Data and Connectivity”, one of the six National Core Studies into COVID-19.

The National Core Studies were established in June 2020 to respond to the most critical research questions into COVID-19 to inform policy making. Funded by UKRI and led by Health Data Research UK (HDR UK) in partnership with the Office for National Statistics (ONS), Data and Connectivity is the “cross-cutting” study that makes UK-wide health and administrative data available to support and accelerate the research across the five other studies, by enabling streamlined data access and analysis.

The objective of this funding call is to amplify the impact of the Data and Connectivity study by supporting research projects and analyses that create new knowledge and insights to inform the national COVID-19 response, policy, and future pandemic preparedness by:

• Utilising the data infrastructure and capabilities that have been assembled by the study
• Using the Trusted Research Environment (“TRE”) to apply novel analytical, statistical and mathematical modelling and machine learning expertise
• Enhancing the data assets being made available, for example by introducing new datasets, linkages, improvements or tools, that can then also be made accessible for other researchers to use.

The priority areas and themes for this call have been guided by the Data and Connectivity Public Advisory Group. The call is seeking to support policy-relevant COVID-19 research projects that augment and enhance the work of the National Core Studies; and projects that have direct policy relevance and a commitment to involving patients and the public in the full lifecycle of their research in a meaningful way.

In line with these objectives, projects that will be prioritised are those that seek to utilise multiple datasets currently linked and available in TREs to conduct analyses, including:

• Viral variant summary and genomic sequencing data from COVID-19 Genomics UK (COG-UK)
• Linked outbreak-relevant data from clinical records, research studies and audit from key initiatives (e.g., CO-CIN)  
• The linked national electronic health record data asset of over 55M people in England (BHF Data Science Centre)
• The linked COVID vaccination data including vaccine status and adverse events across the UK
• The linked Public Health Research dataset, including census, mortality, hospital episode statistics and primary care data

The assessment panel to determine the chosen research projects for this call will include two lay members.

New £2m funding call for advanced analytics into COVID-19 | The Alan Turing Institute