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Parameter Estimation in Mathematical Models of Viral Infections Using R

Parameter Estimation in Mathematical Models of Viral Infections Using R

Methods in Molecular Biology 1836: 531-549

In recent years, mathematical modeling approaches have played a central role in understanding and quantifying mechanisms in different viral infectious diseases. In this approach, biology-based hypotheses are expressed via mathematical relations and then tested based on empirical data. The simulation results can be used to either identify underlying mechanisms and provide predictions of infection outcomes or to evaluate the efficacy of a treatment.Conducting parameter estimation for mathematical models is not an easy task. Here we detail an approach to conduct parameter estimation and to evaluate the results using the free software R. The method is applicable to influenza virus dynamics at different complexity levels, widening experimentalists' capabilities in understanding their data. The parameter estimation approach presented here can be also applied to other viral infections or biological applications.

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Accession: 065387406

Download citation: RISBibTeXText

PMID: 30151590

DOI: 10.1007/978-1-4939-8678-1_25

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