Identification of COVID-19 Can be Quicker through Artificial Intelligence framework using a Mobile Phone-Based Survey in the Populations when Cities/Towns Are under Quarantine

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

We are proposing to use machine learning algorithms to be able to improve possible case identifications of COVID-19 more quicker when we use a mobile phone-based web survey. This will also reduce the spread in the susceptible populations.

Original languageEnglish (US)
JournalInfection Control and Hospital Epidemiology
DOIs
StateAccepted/In press - Jan 1 2020

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Keywords

  • disease spread
  • machine learning
  • modeling
  • novel coronavirus

ASJC Scopus subject areas

  • Epidemiology
  • Microbiology (medical)
  • Infectious Diseases

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