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Published bySara Norton Modified over 9 years ago
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Modeling the effect of virus transmission on population using Systems Dynamics Modeling Dheeraj Manjunath 2008-2009 Computer Systems Lab TJHSST
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Project Goal Model to predict population based on virus transmission dynamics Easy access to variables-no programming necessary
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Background Virus Transmission-spread of virus in population Systems Dynamics and Agent Based-types of modeling using individual agents and group flows. Virus-a sub-microscopic infectious agent that is unable to grow or reproduce outside a host cell. Viruses infect all cellular life. – Affect each person differently depending on: – Age – Health – Natural Susceptibility – Living Conditions
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Background-Modeling Two major types: Agent Based Modeling More popular Individual agents simulate program Pure Code Systems Dynamics Modeling Flows of agents rather than individual agents Flowchart and code
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Agent Based Modeling Code to vary population that is not possible in Systems Dynamics Change variables where not possible in Systems Dynamics Easier access to change variables
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Systems Dynamics Modeling Flows and Stocks Flows-flow from one stock or variable to another Example:
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Development NetLogo 3.1.4 Integrated Systems Dynamics and Agent Based function
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Development-Systems Dynamics Main focus of model General pattern and trend of population rather than individual. Use of Lotka-Volterra model:
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Development-Systems Dynamics
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Functions included: – Births – Deaths – Infections – Immunity – Other Human concern factors – All of the above for both adults and children
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Development-Agent Based Interaction Used for individual agents More precise but little general trend information Code for: Infected population control Immunity Mutations
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Sample Runs and Results Sample run from early Lotka-Volterra
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Sample Runs and Results-cont. Comparable run from University of Michigan presentation
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Conclusion and Results Self stabilizing system General sinusoidal trend of population, but each population varies with time and virus values. Future Additions: – Mutations – Immunity – Age Classes
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