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

被引：0
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作者：
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
机构：
[1] University of Pennsylvania,Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine
[2] University of Pennsylvania,Department of Genetics, Perelman School of Medicine
[3] University of Pennsylvania,Department of Pathology and Laboratory Medicine, Perelman School of Medicine
来源：
BioData Mining | / 13卷
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摘要：
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.
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