Demystifying COVID-19 pandemic modelling for policymaking
DOI:
https://doi.org/10.31646/gbio.154Keywords:
Mathematical modelling, epidemics, policyAbstract
Mathematical modelling is used widely to inform COVID-19 pandemic policy. Infectious diseases modelling is a long-established science used to estimate future outcomes under various conditions, that can inform policy decisions. Each model depends on assumptions made, the specific modelling methods used and the scenarios explored. Non-modellers can evaluate models using the following principles.Published
2022-02-15
How to Cite
MacIntyre, R., & Heslop, D. J. (2022). Demystifying COVID-19 pandemic modelling for policymaking. Global Biosecurity, 4(1). https://doi.org/10.31646/gbio.154
Issue
Section
Editorials and Commentaries
License
Copyright (c) 2022 The Author(s)

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
Received 2022-01-31
Accepted 2022-01-31
Published 2022-02-15
Accepted 2022-01-31
Published 2022-02-15