Review on Contact Tracing with Machine Learning


Authors : TANVI RUSTAGI; ABHISHEK SEN; DUSHYANT; RISHABH PRASAD SINGH; RAHUL BHARTI

Volume/Issue : Volume 6 - 2021, Issue 6 - June

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/3xmIhqR

Abstract : - Contact tracing is an essential component of public health surveillance. It is however, labor-intensive and expensive to carry out. Contact tracing has been difficult to execute in several countries, and no impact analyses based on empirical data have been conducted to estimate its impact on COVID-19 mortality. We looked on the efficacy of the current CDC definition of a close contact, as well as the distribution of untraced secondary cases. Using latest COVID-19 transmission estimates, we show that fewer than 1 in 5 instances will result in untraced cases.

Keywords : Contact Tracing, Transmission, Infection Control, Surveillance

- Contact tracing is an essential component of public health surveillance. It is however, labor-intensive and expensive to carry out. Contact tracing has been difficult to execute in several countries, and no impact analyses based on empirical data have been conducted to estimate its impact on COVID-19 mortality. We looked on the efficacy of the current CDC definition of a close contact, as well as the distribution of untraced secondary cases. Using latest COVID-19 transmission estimates, we show that fewer than 1 in 5 instances will result in untraced cases.

Keywords : Contact Tracing, Transmission, Infection Control, Surveillance

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