Analysis of Practical Identifiability of a Viral Infection Model
Publication Date
December 30, 2016
Authors
Van Kinh Nguyen, Frank Klawonn, Rafael Mikolajczyk & Esteban A. Hernandez Vargas
Volume
11
Issue
12
Pages
e0167568
DOI
https://dx.plos.org/10.1371/journal.pone.0167568
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0167568
Scopus
85007590822
Mendeley
http://www.mendeley.com/research/analysis-practical-identifiability-viral-infection-model
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Mendeley | Further Information

{"title"=>"Analysis of practical identifiability of a viral infection model", "type"=>"journal", "authors"=>[{"first_name"=>"Van Kinh", "last_name"=>"Nguyen", "scopus_author_id"=>"56681690200"}, {"first_name"=>"Frank", "last_name"=>"Klawonn", "scopus_author_id"=>"24294734600"}, {"first_name"=>"Rafael", "last_name"=>"Mikolajczyk", "scopus_author_id"=>"6603079683"}, {"first_name"=>"Esteban A.", "last_name"=>"Hernandez-Vargas", "scopus_author_id"=>"12038776500"}], "year"=>2016, "source"=>"PLoS ONE", "identifiers"=>{"doi"=>"10.1371/journal.pone.0167568", "sgr"=>"85007590822", "isbn"=>"1111111111", "pmid"=>"28036339", "issn"=>"19326203", "scopus"=>"2-s2.0-85007590822", "pui"=>"613932138"}, "id"=>"d6510d3f-3d73-30db-8f7f-517cb53d3d20", "abstract"=>"Mathematical modelling approaches have granted a significant contribution to life sciences and beyond to understand experimental results. However, incomplete and inadequate assessments in parameter estimation practices hamper the parameter reliability, and consequently the insights that ultimately could arise from a mathematical model. To keep the diligent works in modelling biological systems from being mistrusted, potential sources of error must be acknowledged. Employing a popular mathematical model in viral infection research, existing means and practices in parameter estimation are exemplified. Numerical results show that poor experimental data is a main source that can lead to erroneous parameter estimates despite the use of innovative parameter estimation algorithms. Arbitrary choices of initial conditions as well as data asynchrony distort the parameter estimates but are often overlooked in modelling studies. This work stresses the existence of several sources of error buried in reports of modelling biological systems, voicing the need for assessing the sources of error, consolidating efforts in solving the immediate difficulties, and possibly reconsidering the use of mathematical modelling to quantify experimental data.", "link"=>"http://www.mendeley.com/research/analysis-practical-identifiability-viral-infection-model", "reader_count"=>3, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Researcher"=>1, "Student > Bachelor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Researcher"=>1, "Student > Bachelor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Engineering"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Unspecified"=>{"Unspecified"=>2}}, "reader_count_by_country"=>{"Germany"=>1}, "group_count"=>1}

Scopus | Further Information

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