We find ourselves in a global pandemic, referred to as COVID-19. There is much research underway on all aspects of the pandemic, including to slow its spread, improve diagnostic tests and develop a vaccine. Population Data Science has a unique part to play because of the availability of large-scale datasets on the general population or on specific cohorts, such as age groups, geographic regions, particular health conditions or socio-economic levels.

The datasets are being used in many ways, such as to contribute to mapping infection patterns, identifying at risk groups, modelling likely case numbers and predicting when risks might reduce. In some cases, additional datasets such as virus surveillance data, symptom tracking, and other study data are augmenting routine health and administrative datasets. As well as studies involving data analysis, the pandemic is influencing how data are used under these circumstances, including what our policies should be, how to engage effectively with the public and how to manage data governance to preserve robustness and simultaneously expedite data access.

Pivoting data and analytic capacity to support Ontario’s COVID-19 response

Hannah Chung, Mahmoud Azimaee, Susan E Bronskill, Rosario Cartagena, Astrid Guttmann, Minnie M Ho, Lisa Ishiguro, Jeffrey C Kwong, J Michael Paterson, Sujitha Ratnasingham, Laura Rosella, Michael J Schull, Marian J Vermeulen, J Charles Victor
Published online: Jan 18, 2022

Length of Stay in ICU of Covid-19 Patients in England, March - May 2020

Nick Shryane, Maria Pampaka, Andrea Lisette Aparicio Castro, Shazaad Ahmad, Mark Elliot, Ji Hye Kim, Jennifer Murphy, Diego Andres Perez Ruiz, Wendy Olsen, Arkadiusz Wiśniowski
Published online: Mar 3, 2021

Developing a Data Integrated COVID-19 Tracking System for Decision-Making and Public Use

Alexander Krusina, Oscar Chen, Lucia Otero Varela, Chelsea Doktorchik, Vince Avati, Søren Knudsen, Danielle Southern, Cathy Eastwood, Nishan Sharma, Tyler Williamson
Published online: Sep 28, 2020

Establishing the impact of COVID-19 on the health outcomes of domiciliary care workers in Wales using routine data: a protocol for the OSCAR study.

Fiona Victoria Lugg-Widger, Rebecca Cannings-John, Ashley Akbari, Lucy Brookes-Howell, Kerenza Hood, Ann John, Hywel Jones, Hayley Prout, Simon Schoenbuchner, Daniel Thomas, Michael Robling
Published online: Jul 14, 2021

Mapping Population Vulnerability and Community Support during COVID-19

a case study from Wales

Nina H Di Cara, Jiao Song, Valerio Maggio, Christopher Moreno-Stokoe, Alastair R Tanner, Benjamin Woolf, Oliver S P Davis, Alisha Davies
Published online: Apr 19, 2021

Developmental Impacts of the COVID-19 Pandemic on Young Children: A Conceptual Model for Research with Integrated Administrative Data Systems

Heather L. Rouse, Rebecca J. Bulotsky Shearer, Sydney S. Idzikowski, Amy Hawn Nelson, Mark Needle, Matthew F. Katz , Jhonelle Bailey, Justin T. Lane, Emily Berkowitz, Sharon Zanti, Astrid Pena , Maggie Reeves
Published online: Oct 7, 2021

Closing the UK care home data gap – methodological challenges and solutions

Closing the UK care home data gap

Jennifer Kirsty Burton, Claire Goodman, Bruce Guthrie, Adam L Gordon, Barbara Hanratty, Terry J Quinn
Published online: Dec 15, 2020