Accelerating the global response against the exponentially growing COVID-19 outbreak through decent data sharing

Cooper J. Galvin; Luis Fernandez-Luque; Yu Chuan (Jack) Li

doi:10.1016/j.diagmicrobio.2020.115070

Accelerating the global response against the exponentially growing COVID-19 outbreak through decent data sharing

Cooper J. Galvin, Luis Fernandez-Luque, Yu Chuan (Jack) Li

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

The novel coronavirus disease 2019 (COVID-19) is a novel and exponentially growing disease, and consequently, the accelerated development of knowledge from good data is possible quickly and globally. In order to combat the global pandemic of COVID-19, all humans on earth need to make difficult strategic decisions on three very different scales, all fueled by Analytical and Artificial Intelligence-based predictive Models.

Original language	English
Article number	115070
Journal	Diagnostic Microbiology and Infectious Disease
Volume	101
Issue number	2
DOIs	https://doi.org/10.1016/j.diagmicrobio.2020.115070
Publication status	Published - Oct 2021

Keywords

Artificial intelligence
Coronavirus
COVID-19
Data share
Pandemic

ASJC Scopus subject areas

Microbiology (medical)
Infectious Diseases

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.diagmicrobio.2020.115070

Cite this

@article{3383419b22ac49bda302a696943a3913,

title = "Accelerating the global response against the exponentially growing COVID-19 outbreak through decent data sharing",

abstract = "The novel coronavirus disease 2019 (COVID-19) is a novel and exponentially growing disease, and consequently, the accelerated development of knowledge from good data is possible quickly and globally. In order to combat the global pandemic of COVID-19, all humans on earth need to make difficult strategic decisions on three very different scales, all fueled by Analytical and Artificial Intelligence-based predictive Models.",

keywords = "Artificial intelligence, Coronavirus, COVID-19, Data share, Pandemic",

author = "Galvin, {Cooper J.} and Luis Fernandez-Luque and Li, {Yu Chuan (Jack)}",

note = "Publisher Copyright: {\textcopyright} 2020",

year = "2021",

month = oct,

doi = "10.1016/j.diagmicrobio.2020.115070",

language = "English",

volume = "101",

journal = "Diagnostic Microbiology and Infectious Disease",

issn = "0732-8893",

publisher = "Elsevier Inc.",

number = "2",

}

TY - JOUR

T1 - Accelerating the global response against the exponentially growing COVID-19 outbreak through decent data sharing

AU - Galvin, Cooper J.

AU - Fernandez-Luque, Luis

AU - Li, Yu Chuan (Jack)

PY - 2021/10

Y1 - 2021/10

N2 - The novel coronavirus disease 2019 (COVID-19) is a novel and exponentially growing disease, and consequently, the accelerated development of knowledge from good data is possible quickly and globally. In order to combat the global pandemic of COVID-19, all humans on earth need to make difficult strategic decisions on three very different scales, all fueled by Analytical and Artificial Intelligence-based predictive Models.

AB - The novel coronavirus disease 2019 (COVID-19) is a novel and exponentially growing disease, and consequently, the accelerated development of knowledge from good data is possible quickly and globally. In order to combat the global pandemic of COVID-19, all humans on earth need to make difficult strategic decisions on three very different scales, all fueled by Analytical and Artificial Intelligence-based predictive Models.

KW - Artificial intelligence

KW - Coronavirus

KW - COVID-19

KW - Data share

KW - Pandemic

UR - http://www.scopus.com/inward/record.url?scp=85108268435&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85108268435&partnerID=8YFLogxK

U2 - 10.1016/j.diagmicrobio.2020.115070

DO - 10.1016/j.diagmicrobio.2020.115070

M3 - Article

C2 - 34167045

AN - SCOPUS:85108268435

SN - 0732-8893

VL - 101

JO - Diagnostic Microbiology and Infectious Disease

JF - Diagnostic Microbiology and Infectious Disease

IS - 2

M1 - 115070

ER -

Accelerating the global response against the exponentially growing COVID-19 outbreak through decent data sharing

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Cite this