Random Link ¯\_(ツ)_/¯ | ||
Nov 13, 2017 | » | Infection Models: SI, SIS, SIR
2 min; updated Feb 12, 2023
Models state transitions through differential equations over continuous time \(t\). Commonly used to model the spread of diseases. Possible states that proportions of the population could be in at time \(t\) are: susceptible \(S(t)\), infected \(I(t)\), and recovered \(R(t)\) The SI Model Assumes that one can only move from state \(S\) to state \(I\), with probability \(\beta\). $$ S'(t) = - \beta S(t) I(t);\ \ \ \ I'(t) = \beta S(t) I(t) $$... |