Identification of COVID-19 can be quicker through artificial intelligence framework using a mobile phone-based survey when cities and towns are under quarantine.

Journal: Infection control and hospital epidemiology
Published Date: Jul 1, 2020

Abstract

We propose the use of a machine learning algorithm to improve possible COVID-19 case identification more quickly using a mobile phone-based web survey. This method could reduce the spread of the virus in susceptible populations under quarantine.

Authors

  • Arni S R Srinivasa Rao
    Division of Health Economics and Modeling, Department of Population Health Sciences, Medical College of Georgia, Augusta University, 1120, 15th Street, AE 1015, Augusta, GA, 30912, USA. arrao@augusta.edu.
  • Jose A Vazquez
    Division of Infectious Diseases, Department of Medicine, Medical College of Georgia, Augusta University, Augusta, Georgia.

Keywords

External Resources

Popular Topics
Recent Journals