Journal article
Structural identifiability of compartmental models for infectious disease transmission is influenced by data type
- Abstract:
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If model identifiability is not confirmed, inferences from infectious disease transmission models may not be reliable, so they might lead to misleading recommendations. Structural identifiability analysis characterizes whether it is possible to obtain unique solutions for all unknown model parameters, given the model structure. In this work, we studied the structural identifiability of some typical deterministic compartmental models for infectious disease transmission, focusing on the influe...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Version of record, pdf, 886.4KB)
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- Publisher copy:
- 10.1016/j.epidem.2022.100643
Authors
Bibliographic Details
- Publisher:
- Elsevier Publisher's website
- Journal:
- Epidemics Journal website
- Volume:
- 41
- Article number:
- 100643
- Publication date:
- 2022-10-15
- Acceptance date:
- 2022-10-14
- DOI:
- EISSN:
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1878-0067
- ISSN:
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1755-4365
Item Description
- Language:
- English
- Keywords:
- Pubs id:
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1285500
- Local pid:
- pubs:1285500
- Deposit date:
- 2022-10-18
Terms of use
- Copyright holder:
- Dinkwa et al
- Copyright date:
- 2022
- Rights statement:
- © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
- Licence:
- CC Attribution (CC BY)
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