Class EpidemicModel

java.lang.Object

org.episteme.social.sociology.health.EpidemicModel

public class EpidemicModel
extends Object

Implements epidemiological models such as SIR (Susceptible-Infectious-Recovered) to simulate disease spread within a social SociologicalGroup or network.

Since:

1.0

Author:

Silvere Martin-Michiellot, Gemini AI (Google DeepMind)

Method Summary

Modifier and Type	Method	Description
static Real	calculateR0(Real transmissionRate, Real recoveryRate)	Calculates the basic reproduction number (R0) given transmission rate and recovery rate.
static Real[]	stepSIR(Real S, Real I, Real R, Real N, Real beta, Real gamma, Real dt)	Simulation step for a basic deterministic SIR model. dS/dt = -beta * S * I / N dI/dt = beta * S * I / N - gamma * I dR/dt = gamma * I

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details

calculateR0

public static Real calculateR0(Real transmissionRate,
 Real recoveryRate)

Calculates the basic reproduction number (R0) given transmission rate and recovery rate. R0 = beta / gamma

Parameters:

transmissionRate - (Beta) The average number of contacts sufficient for transmission per unit time.

recoveryRate - (Gamma) The rate at which infectious individuals recover (1/duration).

Returns:

R0

stepSIR

public static Real[] stepSIR(Real S,
 Real I,
 Real R,
 Real N,
 Real beta,
 Real gamma,
 Real dt)

Simulation step for a basic deterministic SIR model. dS/dt = -beta * S * I / N dI/dt = beta * S * I / N - gamma * I dR/dt = gamma * I

Parameters:

S - Susceptible count

I - Infectious count

R - Recovered count

N - Total population

beta - Transmission rate

gamma - Recovery rate

dt - Time step

Returns:

Array of new [S, I, R] values