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A study of the effect of contact rate and asymptomatic infected in an epidemiology model of 2019-nCoV
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Huang, Jiankai. A study of the effect of contact rate and asymptomatic infected in an epidemiology model of 2019-nCoV. Retrieved from https://doi.org/doi:10.7282/t3-preh-9816

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TitleA study of the effect of contact rate and asymptomatic infected in an epidemiology model of 2019-nCoV
NameHuang, Jiankai (author); Alessandrini, Stephen M. (chair); Rutgers University; Camden Graduate School
Date Created2020
Other Date2020-05 (degree)
Subject2019-nCoV, Mathematics
Extent1 online resource (iv, 41 pages) : illustrations
DescriptionThe 2019-nCoV can be described by an adjusted SEIR model which includes new states comparing to the original compartmental model. To visualize how the virus processes, a numerical method is adopted that converts the differential equations into difference equations and simulations based on these difference equations are run on the MATLAB. In this model, the contact rate and the initial value of the asymptomatic infected are investigated to show how they affect the spreading of the virus.
NoteM.S.
NoteIncludes bibliographical references
Genretheses, ETD graduate
Persistent URLhttps://doi.org/doi:10.7282/t3-preh-9816
LanguageEnglish
CollectionCamden Graduate School Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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