Predictive mathematical models of the short-term and long-term growth of the COVID-19 pandemic

dc.contributor.author	Fernández Martínez, Juan Luis
dc.contributor.author	Fernández Muñiz, María Zulima
dc.contributor.author	Cernea Corbeanu, Ana
dc.contributor.author	Kloczkowski, Andrzej
dc.date.accessioned	2022-06-29T08:16:22Z
dc.date.available	2022-06-29T08:16:22Z
dc.date.issued	2021
dc.identifier.citation	Computational and Mathematical Methods in Medicine, 2021 (2021); doi:10.1155/2021/5556433
dc.identifier.issn	1748-670X
dc.identifier.uri	http://hdl.handle.net/10651/63598
dc.description.sponsorship	This research was supported by NSF grant DBI-1661391 and NIH grant R01GM127701.
dc.language.iso	eng
dc.relation.ispartof	Computational and mathematical methods in medicine
dc.rights	© 2021 Los autores
dc.rights	CC Reconocimiento 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113901657&doi=10.1155%2f2021%2f5556433&partnerID=40&md5=63d9be41ad318e1f0daca3fbbd7295ef
dc.title	Predictive mathematical models of the short-term and long-term growth of the COVID-19 pandemic
dc.type	journal article
dc.identifier.doi	10.1155/2021/5556433
dc.relation.publisherversion	http://dx.doi.org/10.1155/2021/5556433
dc.rights.accessRights	open access
dc.type.hasVersion	VoR

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