Coswara: A website application enabling COVID-19 screening by analysing respiratory sound samples and health symptoms
This tool addresses the need for quick and scalable COVID-19 testing during the pandemic, though it appears incremental as it builds on existing respiratory sound analysis methods.
The researchers tackled COVID-19 screening by developing Coswara, a website application that analyzes respiratory sound samples and health symptoms to output a COVID-19 probability score within a minute, offering a potential solution for scalable population-level testing.
The COVID-19 pandemic has accelerated research on design of alternative, quick and effective COVID-19 diagnosis approaches. In this paper, we describe the Coswara tool, a website application designed to enable COVID-19 detection by analysing respiratory sound samples and health symptoms. A user using this service can log into a website using any device connected to the internet, provide there current health symptom information and record few sound sampled corresponding to breathing, cough, and speech. Within a minute of analysis of this information on a cloud server the website tool will output a COVID-19 probability score to the user. As the COVID-19 pandemic continues to demand massive and scalable population level testing, we hypothesize that the proposed tool provides a potential solution towards this.