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

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

Research output: Contribution to journal › Review article › peer-review

21 Scopus citations

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.

Original language	English (US)
Article number	3
Journal	BioData Mining
Volume	13
Issue number	1
DOIs	https://doi.org/10.1186/s13040-020-00213-y
State	Published - May 12 2020
Externally published	Yes

ASJC Scopus subject areas

Biochemistry
Molecular Biology
Genetics
Computer Science Applications
Computational Mathematics
Computational Theory and Mathematics

Access to Document

10.1186/s13040-020-00213-y

Cite this

Moore, J. H., Barnett, I., Boland, M. R., Chen, Y., Demiris, G., Gonzalez-Hernandez, G., Herman, D. S., Himes, B. E., Hubbard, R. A., Kim, D., Morris, J. S., Mowery, D. L., Ritchie, M. D., Shen, L., Urbanowicz, R., & Holmes, J. H. (2020). Ideas for how informaticians can get involved with COVID-19 research. BioData Mining, 13(1), Article 3. https://doi.org/10.1186/s13040-020-00213-y

@article{d988a39873804b639ae6066c742bbd4f,

title = "Ideas for how informaticians can get involved with COVID-19 research",

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.",

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

note = "Publisher Copyright: {\textcopyright} 2020 The Author(s).",

year = "2020",

month = may,

day = "12",

doi = "10.1186/s13040-020-00213-y",

language = "English (US)",

volume = "13",

journal = "BioData Mining",

issn = "1756-0381",

publisher = "BioMed Central",

number = "1",

}

TY - JOUR

T1 - Ideas for how informaticians can get involved with COVID-19 research

AU - Moore, Jason H.

AU - Barnett, Ian

AU - Boland, Mary Regina

AU - Chen, Yong

AU - Demiris, George

AU - Gonzalez-Hernandez, Graciela

AU - Herman, Daniel S.

AU - Himes, Blanca E.

AU - Hubbard, Rebecca A.

AU - Kim, Dokyoon

AU - Morris, Jeffrey S.

AU - Mowery, Danielle L.

AU - Ritchie, Marylyn D.

AU - Shen, Li

AU - Urbanowicz, Ryan

AU - Holmes, John H.

PY - 2020/5/12

Y1 - 2020/5/12

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85085064345&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85085064345&partnerID=8YFLogxK

U2 - 10.1186/s13040-020-00213-y

DO - 10.1186/s13040-020-00213-y

M3 - Review article

C2 - 32419848

AN - SCOPUS:85085064345

SN - 1756-0381

VL - 13

JO - BioData Mining

JF - BioData Mining

IS - 1

M1 - 3

ER -

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

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this