FORECASTS FOR COVID-19 BASED ON ARTIFICIAL INTELLIGENCE
Apr 21, 2020
3 minutes
ZIXIN HU, QIYANG GE, SHUDI LI, LI JIN, AND MOMIAO XIONG, FUDAN UNIVERSITY (SHANGHAI, CHINA) Y UNIVERSITY OF TEXAS (HOUSTON, EE.UU.)
INTRODUCTION
n December 2019, near the city of Wuhan, the COVID-19 virus has been transmitted from an animal species to a human, initiating an outbreak of respiratory disease. Although epidemiological models are useful for estimating transmission dynamics, targeting resources and assessing the impact of intervention strategies, they require parameters and depend on many assumptions, which make predictions far from the actual data [1-3]. To overcome
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