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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