Software for: Modelling the effects of environmental heterogeneity within the lung on the tuberculosis life-cycle

DOI

MetapopPy is a Python library designed to aid the creation of metapopulation-based models. TBMetapopPy extends this framework to create models that simulate a tuberculosis (TB) infection within the alveolar tissue of the lung and the associated lymphatics. Both libraries are divided into 3 sections: Environment (the terrain on which the simulation occurs - a metapopulation network of patches and edges, with each patch contain subpopulations and environmental attributes), Events (Gillespie Algorithm-based reactions which determine the dynamics of interactions between the subpopulation compartments and their environment) and Model (which joins the Environment with the Events).

Identifier
DOI http://dx.doi.org/doi:10.17632/y64c95bghv.1
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:156357
Provenance
Creator Pitcher, M
Publisher Data Archiving and Networked Services (DANS)
Contributor Michael Pitcher
Publication Year 2019
Rights info:eu-repo/semantics/openAccess;License: http://creativecommons.org/licenses/by/4.0
Contact Michael Pitcher
Representation
Resource Type Dataset
Coverage
Discipline Not stated
Temporal Point 2019-12-11T11:59:59Z