Software files for PhD thesis of Peter Ballard

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Titel: Software files for PhD thesis of Peter Ballard
Autoren: Peter Ballard
Publikationsjahr: 2018
Bestand: The University of Adelaide: Figshare
Schlagwörter: 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
Beschreibung: 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.
Publikationsart: software
Sprache: unknown
Relation: https://figshare.com/articles/software/Software_files_for_PhD_thesis_of_Peter_Ballard/6046805
DOI: 10.4225/55/5ae3c14503d04
Verfügbarkeit: 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
Dokumentencode: edsbas.E87CBC69
Datenbank: BASE
Beschreibung
Abstract: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.
DOI:10.4225/55/5ae3c14503d04