Difference between revisions of "SIR Modeling"

Revision as of 00:47, 13 April 2020

Compartmental Modeling

Discrete-time SIR modeling of infections/recovery

The model consists of individuals who are either susceptible ([math]S[/math]), infected ([math]I[/math]), or recovered ([math]R[/math]).

The epidemic proceeds via a growth and decline process. This is the core model of infectious disease spread and has been in use in epidemiology for many years.

The dynamics are given by the following 3 equations;

[math] \begin{align} S_{t+1} & = S_t - \beta S_t I_t) \\[6pt] I_{t+1} & = I_t + \beta S_t I_t - \gamma I_t \\[6pt] R_{t+1} & = R_t + \gamma I_t \end{align} [/math]

where;

[math]S[/math] number of susceptible individuals,

[math]I[/math] number of infected individuals,

[math]R[/math] number of recovered individuals,

[math]\beta[/math] the average number of contacts per person per time,

[math]\gamma[/math] the transition rate.

@@ Line 3: / Line 3: @@
 Discrete-time SIR modeling of infections/recovery
-The model consists of individuals who are either Susceptible (<math>S</math>), Infected (<math>I</math>), or Recovered (<math>R</math>).
+The model consists of individuals who are either susceptible (<math>S</math>), infected (<math>I</math>), or recovered (<math>R</math>).
 The epidemic proceeds via a growth and decline process. This is the core model of infectious disease spread and has been in use in epidemiology for many years.
-The dynamics are given by the following 3 equations.
+The dynamics are given by the following 3 equations;
 <!-- {{#tag:math|S_{t+1} = S_t - \beta S_t I_t }} -->