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. 2020 Jul;41(7):826-830.
doi: 10.1017/ice.2020.61. Epub 2020 Mar 3.

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  1   2   3 , Jose A Vazquez  4
Affiliations

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 et al. Infect Control Hosp Epidemiol. 2020 Jul.

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.

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Figures

Fig. 1.
Fig. 1.
Conceptual framework of data collection and possible COVID-19 identification. (a) A geographical region (eg, a city, county, town, or village) with households in it. (b) Respondents and nonrespondents of a mobile phone–based web survey. (c) Possible identified cases of COVID-19 among the survey respondents and possible cases of COVID-19 among nonrespondents of the survey.
Fig. 2.
Fig. 2.
Number of possible cases identified through artificial intelligence (AI) framework versus the number of individuals who responded to a mobile phone–based web survey.
See this image and copyright information in PMC

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