Matlab - Modelling With Matlab - The Gillespie - Assignment Help

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Assignment Task

Interpreting, running, commenting, and extending existing code: the Gillespie. Just like real-world situations, the files contain elements of coding which we may not be familiar with (e.g. struct variables and the switch command). The files can be used to simulate a Gillespie algorithm implementation of a simple SIR ODE model Load the files and will see an output similar to this.

Modelling with MATLAB In epidemics, “superspreading” happens when certain infected individuals cause unusually large numbers of secondary cases (compared to the average infected individual). (a) Explain (in words and mathematics, not necessarily in MATLAB code) how the model from question 1 could be modified to incorporate super spreading (*) while keeping the overall mean rate of infection constant. (b) Modify the code according to your answer to (a). Confirm numerically that your superspreading model agrees quantitatively with the code in Q1 in the special case where your rate of superspreading events (or your frequency of superspreading individuals, or whatever modification you use) is set to zero, and comment on the change to the system’s behaviour when superspreading is added. (*) Papers by Lloyd-Smith et al. (2005) and James et al. (2007) are uploaded on Moodle (Week TBC), and they suggest alternative methods to simulate the phenomenon. Do not attempt to do both the Lloyd-Smith and the James methods, and be clear about which approach you use

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