Modeling the Effectiveness of Face Coverings in Curtailing SARS-CoV-2 Spread

dc.contributor.author Koshti, Ajinkya Vijay
dc.contributor.department Information Systems and Business Analytics
dc.contributor.majorProfessor Anthony Townsend
dc.date 2021-06-02T13:43:01.000
dc.date.accessioned 2021-08-14T03:34:07Z
dc.date.available 2021-08-14T03:34:07Z
dc.date.copyright Fri Jan 01 00:00:00 UTC 2021
dc.date.embargo 2021-04-16
dc.date.issued 2021-01-01
dc.description.abstract <p>Face coverings by the general public are widely being recommended for limiting the spread of COVID-19. Several states have also mandated using masks in public places. However, its potential and correct use are still relatively unknown. Several studies have assessed the effectiveness of masks by implementing the SIR model of epidemics, but they have certain limitations. This thesis addresses these limitations by modeling for shortcomings in the practical use of masks. The primary limitation addressed is the high transmission rate through high-frequency areas in the closed settings. A multi-group Kermack-McKendrick-type compartmental mathematical model was used to model different scenarios and simulate them with actual data to evaluate the effectiveness of face coverings. It is established that perfect use of face coverings contributes significantly to lowering the spread, but its practical implementation is still highly dependent on strict compliance and effective surface-contact transmission rate.</p>
dc.format.mimetype Word
dc.identifier archive/lib.dr.iastate.edu/creativecomponents/756/
dc.identifier.articleid 1819
dc.identifier.contextkey 22518628
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath creativecomponents/756
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/5w5pybdz
dc.source.bitstream archive/lib.dr.iastate.edu/creativecomponents/756/AjinkyaCreativeComponentFinalDraft.docx|||Sat Jan 15 01:50:08 UTC 2022
dc.source.bitstream archive/lib.dr.iastate.edu/creativecomponents/756/auto_convert.pdf|||Sat Jan 15 01:50:10 UTC 2022
dc.subject.disciplines Management Sciences and Quantitative Methods
dc.subject.keywords SIER Model
dc.subject.keywords Pandemic
dc.subject.keywords Masks
dc.title Modeling the Effectiveness of Face Coverings in Curtailing SARS-CoV-2 Spread
dc.type article
dc.type.genre creativecomponent
dspace.entity.type Publication
relation.isOrgUnitOfPublication 0099bcd5-3121-4f25-813d-0ec68d96243f
thesis.degree.discipline Information Systems
thesis.degree.level creativecomponent
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