Journal article
A theoretical framework for transitioning from patient-level to population-scale epidemiological dynamics: influenza A as a case study
- Abstract:
-
Predictions with within-host models and/or infection data collected in longitudinal cohort studies. However, most multi-scale models are complex and require significant modelling expertise to run. We formulate an alternative multi-scale modelling framework using a compartmental model with multiple infected stages. In the large-compartment limit, our easy-to-use framework generates identical results compared to previous more complicated approaches. We apply our framework to the case study of ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- Royal Society, The Publisher's website
- Journal:
- Interface Journal website
- Volume:
- 17
- Issue:
- 166
- Article number:
- 20200230
- Publication date:
- 2020-05-13
- Acceptance date:
- 2020-04-06
- DOI:
- EISSN:
-
1742-5662
- ISSN:
-
1742-5689
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1099036
- Local pid:
- pubs:1099036
- Deposit date:
- 2020-04-08
Terms of use
- Copyright holder:
- Hart et al.
- Copyright date:
- 2020
- Rights statement:
- © 2020 The Author(s)
- Notes:
- This is the accepted manuscript version of the article. The final version is available from The Royal Society at: https://doi.org/10.1098/rsif.2020.0230
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