
Cracking the COVID-19 code: Cutting edge collaboration
Author(s) -
Marianne Cherrington,
Ihaka Dunn,
David Airehrour
Publication year - 2021
Publication title -
scope. health and wellbeing
Language(s) - English
Resource type - Journals
eISSN - 2537-8880
pISSN - 2537-8872
DOI - 10.34074/scop.3006002
Subject(s) - covid-19 , cracking , enhanced data rates for gsm evolution , code (set theory) , computer science , virology , materials science , medicine , programming language , artificial intelligence , outbreak , composite material , infectious disease (medical specialty) , disease , set (abstract data type) , pathology