Pyfectious: An individual-level simulator to discover optimal containment policies for epidemic diseases.

ABSTRACT: Simulating the spread of infectious diseases in human communities is critical for predicting the trajectory of an epidemic and verifying various policies to control the devastating impacts of the outbreak. Many existing simulators are based on compartment models that divide people into a few subsets and simulate the dynamics among those subsets using hypothesized differential equations. However, these models lack the requisite granularity to study the effect of intelligent policies that influence every individual in a particular way. In this work, we introduce a simulator software capable of modeling a population structure and controlling the disease's propagation at an individualistic level. In order to estimate the confidence of the conclusions drawn from the simulator, we employ a compr

SUBMITTER: Mehrjou A 

PROVIDER: S-EPMC9894541 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature