Authors:
David Beymer
1
;
Vandana Mukherjee
1
;
Anup Pillai
1
;
Hakan Bulu
1
;
Vanessa Burrowes
2
;
James Kaufman
1
and
Ed Seabolt
1
Affiliations:
1
IBM Research - Almaden, 650 Harry Rd, San Jose, CA 95120, U.S.A.
;
2
IBM, 3039 E Cornwallis Rd, Research Triangle Park, NC 27709, U.S.A.
Keyword(s):
Computer Simulation, Agent-Based Modeling, Epidemiological Modeling, Risk Analysis, Safety Management.
Abstract:
We present a cloud native agent based simulation of disease transmission hazard and risk in a model of a particular workplace. When combined with epidemiological data for employee home counties, the simulation can be used to measure the effect of interventions and building policies on occupational hazard and risk from an infectious disease, and to compare that hazard and risk to the average risk to the employees in their home counties based on current outbreak data. We demonstrate this for two particular interventions, varying the number of employees allowed to work onsite, and enabling/disabling alternate routes at choke points such as cafeteria checkpoints. We discuss how occupational hazard and risk depends strongly on the details of workplace layout and policies and propose how the current simulation (and tools like it) can be used to evaluate policies and procedures for return to work.