Ideas for how informaticians can get involved with COVID-19 research

Jason H Moore; Ian Barnett; Mary Regina Boland; Yong Chen; George Demiris; Graciela Gonzalez-Hernandez; Daniel S Herman; Blanca E Himes; Rebecca A Hubbard; Dokyoon Kim; Jeffrey S Morris; Danielle L Mowery; Marylyn D Ritchie; Li Shen; Ryan Urbanowicz; John H Holmes

doi:10.1186/s13040-020-00213-y

Ideas for how informaticians can get involved with COVID-19 research

BioData Min. 2020 May 12:13:3. doi: 10.1186/s13040-020-00213-y. eCollection 2020.

Authors

Jason H Moore^{1

2}, Ian Barnett¹, Mary Regina Boland¹, Yong Chen¹, George Demiris¹, Graciela Gonzalez-Hernandez¹, Daniel S Herman³, Blanca E Himes¹, Rebecca A Hubbard¹, Dokyoon Kim¹, Jeffrey S Morris¹, Danielle L Mowery¹, Marylyn D Ritchie², Li Shen¹, Ryan Urbanowicz¹, John H Holmes¹

Affiliations

¹ 1Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6116 USA.
² 2Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6116 USA.
³ 3Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6116 USA.

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has had a significant impact on population health and wellbeing. Biomedical informatics is central to COVID-19 research efforts and for the delivery of healthcare for COVID-19 patients. Critical to this effort is the participation of informaticians who typically work on other basic science or clinical problems. The goal of this editorial is to highlight some examples of COVID-19 research areas that could benefit from informatics expertise. Each research idea summarizes the COVID-19 application area, followed by an informatics methodology, approach, or technology that could make a contribution. It is our hope that this piece will motivate and make it easy for some informaticians to adopt COVID-19 research projects.

Publication types

Editorial