COVID-19 PROJECTS FROM CSA, IISC
Project 1: Lockdown and other policies for containing COVID19 in Small worlds
Authors: V. Vinay (ATI Motors) and C. Bhattacharyya (CSA, IISc)
Our aim in this project is to understand what policies can be implemented post lockdown.
Small world models are useful tools in Network Epidemiology. A city consists of many wards. We model such cities as a Multi-Lattice Small World(MLSW) network where each ward of a city is modelled as a 2D lattice and nearby wards are connected together. We simulate several interventions on MLSW and study their effectiveness in
Suppressing COVID19 on such networks. Our study highlights three findings
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Usual Contact Tracing involves Tracing the immediate contacts. If that can be enhanced to Tracing the contacts and their contacts followed by Sealing(TC2S) it would have a huge impact.
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A restricted work week, such as 2 day work week, followed by a Lockdown can be effective as Lockdown.
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A policy such as Ward wise sealing and Opening depending on the infection levels in the ward not only has the lowest attack rate, the percentage of total population infected, but also requires the shortest time for the epidemic to end.
A preliminary draft is available here
Project 2: CovidWATCH - A rapid COVID-19 monitoring tool for regions with low smartphone penetration
Lead Developers: Niharika Venkatesh(AIfoundry) and Nabanita Paul(IISc)
Advised by: Arvind Saraf(AIfoundry) and Chiranjib Bhattacharyya(IISc)
COLLABORATION BETWEEN INDIAN INSTITUTE OF SCIENCE (IISC) & AI FOUNDRY, BENGALURU
Covid Watch is a rapid monitoring tool developed for areas with low smartphone penetration.
It offers a basic screening test based on ICMR strategy and a symptom tracker to record daily symptoms, via multi-language Whatsapp chatbot. Specifically built for people with little to no technological acumen, it also allows a single volunteer to take this test on behalf of multiple nearby people for convenience. The data is shared with the authorities in form of a dashboard, where they filter based on location, symptoms,age,etc. for subsequent follow ups. This tool has been deployed in a ward under Pune Municipality and has already helped authorities by surveying close to 3000 people in ~2 weeks.
A slide deck detailing the tool is available here.
Project 3: COVID-SWIFT (Now known as Xray-Setu)
Lead Developers: Sabyasachi Sahoo (IISc), Rachit Shah (IISc), Siva Teja Kakileti (Niramai), Prateek Katte(Niramai)
Advised by: Chiranjib Bhattacharyya(IISc), Geetha Manjunath(Niramai), and Dr. Padmanabha Kamath(KMC)
COLLABORATION BETWEEN INDIAN INSTITUTE OF SCIENCE (IISC), NIRAMAI & KMC, BENGALURU
COVID-SWIFT is a Rapid AI solution for Diagnosing COVID-19 using Chest X-RAY via Whatsapp
COVID-SWIFT is a free Whatsapp based service to provide a swift diagnosis of potential COVID19 patients by analyzing Chest X-Ray images. Our state-of-the-art deep learning model generates a report containing predictions for COVID-19 and 14 other lung abnormalities with interpretable semantic markings on chest X-Ray. This can help doctors understand the severity of illness of their patients. We ran a small scale pilot for the last 10 months, where interested doctors within minutes, could receive a machine generated X-ray Report on sending us chest X-Ray of suspicious patients. Our model is trained using Multi-Task Learning on multiple chest X-Ray datasets by NIH, RSNA, etc. We will soon be sharing our paper with further details.
COVID-SWIFT has now been launched as XraySetu in collaboration between IISc, Niramai, and ARTPARK. Xraysetu is quick and simple for busy doctors to use. XraySetu allows doctors in rural areas to plan early intervention for their patients by simply taking a picture of their Xray and sending it over via Whatsapp. We believe that this could be the model for the future of Indian healthcare, accessible to everyone wherever one might be.
For more information on this please visit Xray-Setu.
Stay tuned for more projects!
