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Simulation of Infectious Diseases Using Agent-Based Versus System Dynamics Models. Omar Alam. Problem definition. People contract diseases. Infected people can can infect healthy people. How to study this infection dynamics?. Problem definition. People contract diseases. - PowerPoint PPT Presentation
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Simulation of Infectious Diseases Using Agent-Based Versus System Dynamics Models
Omar Alam
Problem definition
People contract diseases. Infected people can can infect healthy people.
How to study this infection dynamics?
Problem definition
People contract diseases. Infected people can can infect healthy people.
How to study this infection dynamics?Simulation of infection models
Solution!
AB: Statecharts FSD using CBD
Epidemic models
Source: Deterministic Modeling of Infectious Diseases: Theory and Models. Trottier et al.
SIR model
Source: Deterministic Modeling of Infectious Diseases: Theory and Models. Trottier et al.
SIR model
Kermack-Mckendric model
Used to study plaque in London (1665-1666), and Bombay in 1906.
Cholera in London 1865
SIR model
Source: http://blog.iseesystems.com/stella-ithink/limits-to-growth/
SIR model
Source: http://jsxgraph.uni-bayreuth.de/wiki/index.php/Epidemiology:_The_SIR_model
Beta: infection rateAlpha: infection period
SIR model
SIR model
S
I
R
SNSM2SM1
Infection rate
Initial population
Initial infected
INIA
Recovery rateRM
SIR model
Population: 1000, Initial infection 4, Infection period: 3, infection rate 0.2
Statecharts approach
Statecharts approach: architecture
Statecharts approach: architecture
ControllerController
Statecharts approach: architecture
ControllerController
Creates, initializes, and changes status
Statecharts approach: architecture
ControllerController
Creates, initializes, and changes status
Updates location
Statecharts approach: results
Population: 1000, initial infection 4, infection period 3
susceptibleinfected
recovered
Statecharts approach: results
Population: 500, initial infection 2, infection period 3