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dc.contributor.authorMartonosi, Susan E.
dc.contributor.authorBehzad, Banafsheh
dc.contributor.authorCummings, Kayla
dc.date.accessioned2021-08-04T19:01:57Z
dc.date.available2021-08-04T19:01:57Z
dc.date.issued2021-09
dc.date.submitted2021-02
dc.identifier.issn0305-0483
dc.identifier.urihttps://hdl.handle.net/1721.1/131139
dc.description.abstractAccording to the World Health Organization, development of the COVID-19 vaccine is occurring in record time. Administration of the vaccine has started the same year as the declaration of the COVID-19 pandemic. The United Nations emphasized the importance of providing COVID-19 vaccines as a global public good, which is accessible and affordable world-wide. Pricing the COVID-19 vaccines is a controversial topic. We use optimization and game theoretic approaches to model the COVID-19 U.S. vaccine market as a duopoly with two manufacturers Pfizer-BioNTech and Moderna. The results suggest that even in the context of very high production and distribution costs, the government can negotiate prices with the manufacturers to keep public sector prices as low as possible while meeting demand and ensuring each manufacturer earns a target profit. Furthermore, these prices are consistent with those currently predicted in the media.en_US
dc.description.sponsorshipNational Science Foundation (Grant 1122374)en_US
dc.publisherElsevier BVen_US
dc.relation.isversionofhttps://doi.org/10.1016/j.omega.2021.102451en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourcearXiven_US
dc.titlePricing the COVID-19 vaccine: A mathematical approachen_US
dc.typeArticleen_US
dc.identifier.citationMartonosi, Susan E. et al. "Pricing the COVID-19 vaccine: A mathematical approach." Omega, 103 (September 2021): 102451.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Operations Research Centeren_US
dc.relation.journalOmegaen_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.date.submission2021-05-12T17:38:15Z
mit.journal.volume103en_US
mit.licensePUBLISHER_CC
mit.metadata.statusComplete


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