
Data driven time-varying SEIR-LSTM/GRU algorithms to track the spread of COVID-19
Author(s) -
Lin Feng,
Ziren Chen,
Harold A Lay,
Khaled M. Furati,
Abdul Khaliq
Publication year - 2022
Publication title -
mathematical biosciences and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.451
H-Index - 45
eISSN - 1551-0018
pISSN - 1547-1063
DOI - 10.3934/mbe.2022415
Subject(s) - covid-19 , computer science , algorithm , basic reproduction number , outbreak , mean squared error , pandemic , track (disk drive) , statistics , artificial intelligence , infectious disease (medical specialty) , machine learning , mathematics , virology , demography , biology , medicine , disease , pathology , population , operating system , sociology