MetaCast: A package for broadCASTing epidemiological and ecological models over META-populations.

Python Jupyter Notebook Submitted 01 April 2024 • Published 17 July 2024
Software repository Paper review Download paper Software archive
Review

Editor: @mstimberg (all papers)
Reviewers: @acolum (all reviews), @robmoss (all reviews)

Authors

Martin Grunnill (0000-0002-4835-8007), Julien Arino (0000-0001-6409-5027), Abbas Ghasemi (0000-0003-2442-5962), Edward W. Thommes (0000-0001-6800-2000), Jianhong Wu (0000-0003-0052-5336)

Citation

Grunnill et al., (2024). MetaCast: A package for broadCASTing epidemiological and ecological models over META-populations.. Journal of Open Source Software, 9(99), 6851, https://doi.org/10.21105/joss.06851

@article{Grunnill2024, doi = {10.21105/joss.06851}, url = {https://doi.org/10.21105/joss.06851}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {99}, pages = {6851}, author = {Martin Grunnill and Julien Arino and Abbas Ghasemi and Edward W. Thommes and Jianhong Wu}, title = {MetaCast: A package for broadCASTing epidemiological and ecological models over META-populations.}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

Epimediology Ecology Virology Compartmental Model Metapopulations Structured Populations Discrete Event Sensitivity Analyses Latin Hypercube Sampling Scenario Analysis

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Journal of Open Source Software is an affiliate of the Open Source Inititative.

Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066