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dc.creatorKarr, Jonathan
dc.creatorMalik-Sheriff, Rahuman S.
dc.creatorOsborne, James
dc.creatorGonzalez-Parra, Gilberto
dc.creatorForgoston, Eric
dc.creatorBowness, Ruth
dc.creatorLiu, Yaling
dc.creatorThompson, Robin
dc.creatorGarira, Winston
dc.creatorBarhak, Jacob
dc.creatorRice, John
dc.creatorTorres, Marcella
dc.creatorDobrovolny, Hana M.
dc.creatorTang,Tingting
dc.creatorWaites, William
dc.creatorGlazier, James A.
dc.creatorFaeder, James R.
dc.creatorKulesza, Alexander
dc.date.accessioned2022-12-07T16:35:52Z
dc.date.available2022-12-07T16:35:52Z
dc.date.issued2022
dc.identifier.urihttps://doi.org/10.3389/fsysb.2022.822606
dc.identifier.urihttps://repository.tcu.edu/handle/116099117/56556
dc.description.abstractDuring the COVID-19 pandemic, mathematical modeling of disease transmission has become a cornerstone of key state decisions. To advance the state-of-the-art host viral modeling to handle future pandemics, many scientists working on related issues assembled to discuss the topics. These discussions exposed the reproducibility crisis that leads to inability to reuse and integrate models. This document summarizes these discussions, presents difficulties, and mentions existing efforts towards future solutions that will allow future model utility and integration. We argue that without addressing these challenges, scientists will have diminished ability to build, disseminate, and implement high-impact multi-scale modeling that is needed to understand the health crises we face.
dc.language.isoen_USen_US
dc.publisherFrontiers Media SA
dc.sourceFrontiers in Systems Biology
dc.subjectCredibility
dc.subjectCornerstone
dc.subjectComputer science
dc.subjectPandemic
dc.subjectDissemination
dc.subjectData science
dc.subjectComputational model
dc.subjectReuse
dc.subjectManagement science
dc.subjectCoronavirus disease 2019 (COVID-19)
dc.subjectKey (lock)
dc.subjectRisk analysis (engineering)
dc.titleModel Integration in Computational Biology: The Role of Reproducibility, Credibility and Utility
dc.typeArticle
dc.rights.licenseCC BY 4.0
local.collegeCollege of Science and Engineering
local.departmentPhysics and Astronomy
local.personsDobrovolny (PHYS)


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