Predictive mathematical models of the 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	2022-09-06T07:29:31Z
dc.date.available	2022-09-06T07:29:31Z
dc.date.issued	2022
dc.identifier.citation	Biophysical journal, 121(3), Suppl.1, p. 532A (2022); doi:10.1016/j.bpj.2021.11.2805
dc.identifier.issn	0006-3495
dc.identifier.issn	1542-0086
dc.identifier.uri	http://hdl.handle.net/10651/64701
dc.description	Póster n.º 2578-Pos
dc.format.extent	p. 532A
dc.language.iso	eng
dc.relation.ispartof	Biophysical journal
dc.rights	© 2021 Biophysical Society. Published by Elsevier Inc.
dc.source	WOS:000759523003407
dc.title	Predictive mathematical models of the growth of the COVID-19 pandemic
dc.type	conference output	spa
dc.identifier.doi	10.1016/j.bpj.2021.11.2805
dc.relation.publisherversion	https://doi.org/10.1016/j.bpj.2021.11.2805

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