A Primer on Biodefense Data Science for Pandemic Preparedness.
Publication
, Journal Article
Perakslis, E
Published in: Patterns (New York, N.Y.)
April 2020
The coronavirus outbreak is sweeping the globe with outbreaks reported on every continent except Antarctica as of March 2020. Data scientists are uniquely and diversely skilled in ways that can be highly effective in minimizing, combatting, and recovering from the impacts of the COVID-19 outbreak. In this Opinion, the basics of biodefense as well as specific opportunities for the data science community to contribute are discussed.
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Published In
Patterns (New York, N.Y.)
DOI
EISSN
2666-3899
ISSN
2666-3899
Publication Date
April 2020
Volume
1
Issue
1
Start / End Page
100018
Related Subject Headings
- 4905 Statistics
- 4611 Machine learning
- 4603 Computer vision and multimedia computation
Citation
APA
Chicago
ICMJE
MLA
NLM
Perakslis, E. (2020). A Primer on Biodefense Data Science for Pandemic Preparedness. Patterns (New York, N.Y.), 1(1), 100018. https://doi.org/10.1016/j.patter.2020.100018
Perakslis, Eric. “A Primer on Biodefense Data Science for Pandemic Preparedness.” Patterns (New York, N.Y.) 1, no. 1 (April 2020): 100018. https://doi.org/10.1016/j.patter.2020.100018.
Perakslis E. A Primer on Biodefense Data Science for Pandemic Preparedness. Patterns (New York, NY). 2020 Apr;1(1):100018.
Perakslis, Eric. “A Primer on Biodefense Data Science for Pandemic Preparedness.” Patterns (New York, N.Y.), vol. 1, no. 1, Apr. 2020, p. 100018. Epmc, doi:10.1016/j.patter.2020.100018.
Perakslis E. A Primer on Biodefense Data Science for Pandemic Preparedness. Patterns (New York, NY). 2020 Apr;1(1):100018.
Published In
Patterns (New York, N.Y.)
DOI
EISSN
2666-3899
ISSN
2666-3899
Publication Date
April 2020
Volume
1
Issue
1
Start / End Page
100018
Related Subject Headings
- 4905 Statistics
- 4611 Machine learning
- 4603 Computer vision and multimedia computation