(Q61053964)

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

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scholarly article

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

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uncertainty quantification

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modeling and simulation

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infectious disease

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Kimberlyn Roosa

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Kimberlyn Roosa

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Gerardo Chowell

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Gerardo Chowell

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publication date

14 January 2019

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Theoretical Biology and Medical Modelling

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16

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1

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1

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https://scigraph.springernature.com/pub.10.1186/s12976-018-0097-6

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Controllability, Observability and Structural Identifiability of Multi Input and Multi Output Biological Compartmental Systems

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On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations

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Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission

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The basic reproductive number of Ebola and the effects of public health measures: the cases of Congo and Uganda

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Estimation of the reproductive number of the Spanish flu epidemic in Geneva, Switzerland.

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Understanding the dynamics of Ebola epidemics

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Comparative estimation of the reproduction number for pandemic influenza from daily case notification data.

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Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood

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Plug-and-play inference for disease dynamics: measles in large and small populations as a case study

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Standard Error Computations for Uncertainty Quantification in Inverse Problems: Asymptotic Theory vs. Bootstrapping

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ON IDENTIFIABILITY OF NONLINEAR ODE MODELS AND APPLICATIONS IN VIRAL DYNAMICS.

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Structural identifiability of systems biology models: a critical comparison of methods

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Identifiability and estimation of multiple transmission pathways in cholera and waterborne disease

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An approximate Bayesian computation approach to parameter estimation in a stochastic stage-structured population model.

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Ebola virus infection modeling and identifiability problems

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Estimating dynamic transmission model parameters for seasonal influenza by fitting to age and season-specific influenza-like illness incidence

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Estimation of the Basic Reproductive Number and Mean Serial Interval of a Novel Pathogen in a Small, Well-Observed Discrete Population

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Prevention and Control of Zika as a Mosquito-Borne and Sexually Transmitted Disease: A Mathematical Modeling Analysis

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Perspectives on model forecasts of the 2014-2015 Ebola epidemic in West Africa: lessons and the way forward

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Fitting dynamic models to epidemic outbreaks with quantified uncertainty: A Primer for parameter uncertainty, identifiability, and forecasts

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Modeling and inference for infectious disease dynamics: a likelihood-based approach.

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Practical unidentifiability of a simple vector-borne disease model: Implications for parameter estimation and intervention assessment

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Identifiers

10.1186/S12976-018-0097-6

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9 September 2019

https://scigraph.springernature.com/pub.10.1186/s12976-018-0097-6

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