Modelling influenza and SARS-CoV-2 interaction: analysis for Catalonia region

dc.contributor.authorFonseca Casas, Pau
dc.contributor.authorGarcía Carrasco, Víctor
dc.contributor.authorGarcia Subirana, Joan
dc.contributor.groupUniversitat Politècnica de Catalunya. IMP - Information Modeling and Processing
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.contributor.otherUniversitat Politècnica de Catalunya. Càtedra Unesco de Sostenibilitat
dc.date.accessioned2023-11-28T11:46:41Z
dc.date.available2023-11-28T11:46:41Z
dc.date.issued2023-01
dc.descriptionThe version of record is available online at: http://dx.doi.org/10.1177/17483026231186012
dc.description.abstractThe aim is to analyse that, during the current pandemic situation, the reduction in the number of cases of influenza suggests that the non-pharmaceutical interventions (NPIs) applied to contain the expansion of SARS-CoV-2 also affect the influenza expansion. We analyse the interaction of influenza and SARS-CoV-2 spread based on an extended SEIRD model for the Catalonia region in Spain. We show that the dynamic evolution of the spread of SARS-CoV-2 and influenza generates a small interference. This interference causes a small reduction in the number of cases of seasonal influenza, reducing its expansion over the population. Other elements like the face mask mandates, social distancing and hand cleaning boost the reduction in both expansions. Influenza expansion will present a small reduction in the number of cases due to the interaction with SARS-CoV-2 expansion but mainly because the NPIs applied to the population.
dc.description.peerreviewedPeer Reviewed
dc.description.sdgObjectius de Desenvolupament Sostenible::3 - Salut i Benestar::3.d - Reforçar la capacitat de tots els països, en particular els països en desenvolupament, en matèria d’alerta primerenca, reducció de riscos i gestió dels riscos per a la salut nacional i mundial
dc.description.sdgObjectius de Desenvolupament Sostenible::3 - Salut i Benestar
dc.description.versionPostprint (published version)
dc.identifier.citationFonseca, P.; García, V.; Garcia, J. Modelling influenza and SARS-CoV-2 interaction: analysis for Catalonia region. "Journal of algorithms and computational technology", 2023, vol. 17.
dc.identifier.doi10.1177/17483026231186012
dc.identifier.issn1748-3018
dc.identifier.urihttps://hdl.handle.net/2117/397140
dc.language.isoeng
dc.relation.publisherversionhttps://journals.sagepub.com/doi/10.1177/17483026231186012
dc.rights.accessOpen Access
dc.rights.licensenameAttribution-NonCommercial 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa
dc.subject.amsClassificació AMS::92 Biology and other natural sciences::92B Mathematical biology in general
dc.subject.amsClassificació AMS::65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations
dc.subject.lcshCOVID-19 (Disease)
dc.subject.lcshNumerical analysis--Simulation methods
dc.subject.lemacCOVID-19 (Malaltia)
dc.subject.lemacAnàlisi numèrica
dc.subject.otherSimulation
dc.subject.otherOptimization
dc.subject.otherSARS-CoV-2
dc.subject.otherInfluenza
dc.subject.otherInteraction
dc.titleModelling influenza and SARS-CoV-2 interaction: analysis for Catalonia region
dc.typeArticle
dspace.entity.typePublication
local.citation.authorFonseca, P.; García, V.; Garcia, J.
local.citation.publicationNameJournal of algorithms and computational technology
local.citation.volume17
local.identifier.drac37787910

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