Identification of COVID-19 can be quicker through artificial intelligence framework using a mobile phone–based survey when cities and towns are under quarantine
Arni S. R. Srinivasa Rao, José A. Vázquez
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.
Topics & Concepts
QuarantineCoronavirus disease 2019 (COVID-19)Identification (biology)Mobile phonePhoneSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakComputer scienceGeographyInternet privacyTelecommunicationsMedicineVirologyBiologyInfectious disease (medical specialty)OutbreakPhilosophyBotanyDiseasePathologyLinguisticsCOVID-19 diagnosis using AIData-Driven Disease SurveillanceArtificial Intelligence in Healthcare