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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.
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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 Beta: infection rate Alpha: infection period Source: http://jsxgraph.uni-bayreuth.de/wiki/index.php/Epidemiology:_The_SIR_model
SIR model Initial population SM1 SM2 SN S Initial infected I IA IN Infection rate RM Recovery rate R
SIR model Population: 1000, Initial infection 4, Infection period: 3, infection rate 0.2
Statecharts approach: architecture Controller
Statecharts approach: architecture Creates, initializes, and changes status Controller
Statecharts approach: architecture Creates, initializes, and changes status Controller Updates location
Statecharts approach: results recovered susceptible infected Population: 1000, initial infection 4, infection period 3
Statecharts approach: results Population: 500, initial infection 2, infection period 3