Computer Sciences and Information Technology
Title : | Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway |
Area of research : | Engineering Sciences, Life Sciences & Biotechnology, Computer Sciences and Information Technology, Mathematical Sciences, COVID-19 Research |
Focus area : | Modelling of COVID-19 |
Principal Investigator : | Prof Rajesh Sundaresan, Indian Institute of Science (IISc), Bengaluru |
Timeline Start Year : | 2020 |
Contact info : | rajeshs@iisc.ac.in |
Details
Executive Summary : | The Mumbai Suburban Railways, locals, are a key transit infrastructure of the city and is crucial for resuming normal economic activity. Cohorting — forming groups of travelers that always travel together, is an additional policy to reduce disease transmission on locals without severe restrictions. Cohorting allows us to: (i) form traveler bubbles, thereby decreasing the number of distinct interactions over time; (ii) potentially quarantine an entire cohort if a single case is detected, making contact tracing more efficient, and (iii) target cohorts for testing and early detection of symptomatic as well as asymptomatic cases. |
Organizations involved