Software files for PhD thesis of Peter Ballard
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| Title: | Software files for PhD thesis of Peter Ballard |
|---|---|
| Authors: | Peter Ballard |
| Publication Year: | 2018 |
| Collection: | The University of Adelaide: Figshare |
| Subject Terms: | Biological mathematics, Numerical and computational mathematics not elsewhere classified, Probability theory, Stochastic Epidemics, mathematical biology, mathematical epidemiology, Python scripting language, Julia language, cython language, epidemic fade-out, Probability |
| Description: | Source files describing the algorithms used in 3 papers authored by Peter Ballard as part of his PhD. Two of these are published: "The probability of epidemic fade-out is non-monotonic in transmission rate for the Markovian SIR model with demography" (doi:10.1016/j.jtbi.2016.01.012) and "Intervention to maximise the probability of epidemic fade-out" (doi:10.1016/j.mbs.2017.08.003). These are associated with calculating the probability of epidemic fade-out, or maximising the probability of epidemic fade-out. The code is Cython, Python and Julia. |
| Document Type: | software |
| Language: | unknown |
| Relation: | https://figshare.com/articles/software/Software_files_for_PhD_thesis_of_Peter_Ballard/6046805 |
| DOI: | 10.4225/55/5ae3c14503d04 |
| Availability: | https://doi.org/10.4225/55/5ae3c14503d04 https://figshare.com/articles/software/Software_files_for_PhD_thesis_of_Peter_Ballard/6046805 |
| Rights: | CC BY 4.0 |
| Accession Number: | edsbas.E87CBC69 |
| Database: | BASE |
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