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Assessing parameter identifiability in compartmental dynamic models using a computational approach: application to infectious disease transmission models

Crossref DOI link: https://doi.org/10.1186/s12976-018-0097-6

Published Online: 2019-01-14

Published Print: 2019-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Roosa, Kimberlyn https://orcid.org/0000-0003-1169-7125
Chowell, Gerardo
Funding

Funding for this research was provided by:

National Science Foundation (1414374)

UK Biotechnology and Biological Sciences Research Council (BB/M008894/1)
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Text and Data Mining valid from 2019-01-14

Version of Record valid from 2019-01-14
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Article History

Received: 16 August 2018

Accepted: 10 December 2018

First Online: 14 January 2019

Ethics approval and consent to participate

: All of the data employed in this study were generated through simulations. Data are deemed exempt from institutional review board assessment.

: Not applicable.

: The authors declare that they have no competing interests.

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