DISCRETE TIME MARKOV CHAIN MODEL FOR SIS AND SIR EPIDEMIC MODELS
In disease epidemic model, a set of populations is commonly divided into three groups: Susceptible (S), Infected (I), and Recovery (R). In this thesis, SIS and SIR epidemic models are constructed by using discrete time Markov chains in terms of a probability function for number of infected popula...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/39175 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |