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 :


Contact info :


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