Combat COVID-19 with artificial intelligence and big data | Zendy

Leesa Lin | Zendy; Zhiyuan Hou | Zendy

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Combat COVID-19 with artificial intelligence and big data

Author(s) -

Leesa Lin,

Zhiyuan Hou

Publication year - 2020

Publication title -

journal of travel medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.985

H-Index - 59

eISSN - 1708-8305

pISSN - 1195-1982

DOI - 10.1093/jtm/taaa080

Subject(s) - covid-19 , medicine , contact tracing , big data , computer security , tracing , order (exchange) , internet privacy , risk analysis (engineering) , data science , artificial intelligence , virology , outbreak , data mining , computer science , infectious disease (medical specialty) , pathology , disease , operating system , finance , economics

To combat COVID-19, at least 29 countries/regions have resorted to digital technology; some embedded it with strict containment measures and achieved great success. We need to improve cryptography and regulations that would enable contact-tracing systems without mass surveillance in order to attain the benefits of location-tracking while protecting individual privacy.

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