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

Research output: Contribution to journalReview article

12 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)826-830
Number of pages5
JournalInfection Control and Hospital Epidemiology
Volume41
Issue number7
DOIs
StatePublished - Jul 1 2020

ASJC Scopus subject areas

  • Epidemiology
  • Microbiology (medical)
  • Infectious Diseases

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