Retrospective analysis of the accuracy of predicting the alert level of COVID-19 in 202 countries using Google Trends and machine learning.

Journal: Journal of global health
Published Date: Dec 1, 2020

Abstract

BACKGROUND: Internet search engine data, such as Google Trends, was shown to be correlated with the incidence of COVID-19, but only in several countries. We aim to develop a model from a small number of countries to predict the epidemic alert level in all the countries worldwide.

Authors

  • Yuanyuan Peng
    School of Electronics and Information Engineering, Soochow University, Suzhou, China.
  • Cuilian Li
    Joint Shantou International Eye Center, Shantou University and the Chinese University of Hong Kong, Shantou, China.
  • Yibiao Rong
  • Xinjian Chen
    Medical Image Processing, Analysis, and Visualization (MIVAP) Lab, School of Electronics and Information Engineering, Soochow University, Suzhou, China.
  • Haoyu Chen
    Joint Shantou International Eye Center, Shantou University and the Chinese University of Hong Kong, Shantou, China.

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