Author: Vedant Chandra
Title: Stochastic Compartmental Modelling of SARS-CoV-2 with Approximate Bayesian Computation Document date: 2020_4_1
ID: itviia7v_1
Snippet: The SIR model (Kermack & McKendrick 1927) traces 3 trajectories in phase space: susceptible (S), infectious (I), and recovered members of the population (R). The transmission rate β represents the number of disease transmissions per unit time, per infected host. The recovery rate γ is simply the number of recoveries per unit time. The disease lifetime is exponential, with a wait time scaling as e −γt . The expectation of disease duration is .....
Document: The SIR model (Kermack & McKendrick 1927) traces 3 trajectories in phase space: susceptible (S), infectious (I), and recovered members of the population (R). The transmission rate β represents the number of disease transmissions per unit time, per infected host. The recovery rate γ is simply the number of recoveries per unit time. The disease lifetime is exponential, with a wait time scaling as e −γt . The expectation of disease duration is hence 1 γ . These parameters govern the disease model with the following differential equations:
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