Work

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

Year: 2020

Type: article

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.

Source: Infection Control and Hospital Epidemiology

DOI: 10.1017/ice.2020.61

Authors: Arni S. R. Srinivasa Rao, Jose A. Vazquez

Institution: Augusta University

Language: English

Topic: Data-Driven Disease Surveillance

Subfield: Epidemiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $2,980