Open AccessPrediction of COVID-19 Transmission in the United States Using Google Search Trends
Author(s) -
Syed Rizwan Hassan,
Ishtiaq Ahmad,
Jamel Nebhen,
Ateeq Ur Rehman,
Muhammad Shafiq,
Jin-Ghoo Choi
Publication year - 2021
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.788
H-Index - 40
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2022.020714
Subject(s) - mean absolute percentage error , covid-19 , computer science , statistics , time series , public health , predictive modelling , transmission (telecommunications) , mean squared error , econometrics , data mining , medicine , machine learning , infectious disease (medical specialty) , mathematics , telecommunications , disease , nursing , pathology
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