Agent-based modelling for resource allocation in viral crises to investigate resource allocation and policy interventions with respect to transmission rate.
This is a school project, and a work-in-progress to understand resource allocations, policy interventions and the extent to which they influence transmission in a building structure. It is currently a baseline experiment without any reference to current research on COVID-19, but stay tuned!
In viral crises such as the current COVID-19 situation, resources are limited in hospitals, such as hospital beds and staff. To exacerbate the situation, viruses can be transmitted as patients move from one station in the hospital to another.
To explore an optimal and safer allocation of hospital resources and staff that maximises rate of patient recovery while minimising rate of patient viral transmission.
We plan to create a simulation of hospital operations. Hospital processes are modeled as Dynamical Systems where the rates of waiting times or time required for processes can be adjusted according to the particular hospital. Patients and staff can be modeled using Agent-Based Modeling (ABM) with varying rates of transmission of viral infection.
