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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

Submitted by ace_modelers on Thu, 03/19/2020 - 09:57
Authors
Arni S.R. Srinivasa Rao and Jose A. Vazquez
DOI
https://doi.org/10.1017/ice.2020.61
Publication journal
Infection Control & Hospital Epidemiology (SHEA and Cambridge University Press)

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.

Publication Date
Keywords
modeling, machine learning, novel coronavirus, disease spread