• Ajay Hegde, Ramesh Masthi, and Darshan Krishnappa.
• Senior Clinical Fellow, Queen Elizabeth University Hospital, Glasgow, United Kingdom.
• Front Public Health. 2020 Jan 1; 8: 286.

AbstractThe SARS-CoV-2 pandemic has rapidly saturated healthcare resources across the globe and has led to a restricted screening process, hindering efforts at comprehensive case detection. This has not only facilitated community spread but has also resulted in an underestimation of the true incidence of disease, a statistic which is useful for policy making aimed at controlling the current pandemic and in preparing for future outbreaks. In this perspective, we present a crowdsourced platform developed by us for the true estimation of all SARS-CoV-2 infections in the community, through active self-reporting and layering other authentic datasets. The granularity of data captured by this system could prove to be useful in assisting governments to identify SARS-CoV-2 hotspots in the community facilitating lifting of restrictions in a controlled fashion.Copyright © 2020 Hegde, Masthi and Krishnappa.

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