Modelling influenza and SARS-CoV-2 interaction: analysis for Catalonia region
| dc.contributor.author | Fonseca Casas, Pau |
| dc.contributor.author | García Carrasco, Víctor |
| dc.contributor.author | Garcia Subirana, Joan |
| dc.contributor.group | Universitat Politècnica de Catalunya. IMP - Information Modeling and Processing |
| dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa |
| dc.contributor.other | Universitat Politècnica de Catalunya. Càtedra Unesco de Sostenibilitat |
| dc.date.accessioned | 2023-11-28T11:46:41Z |
| dc.date.available | 2023-11-28T11:46:41Z |
| dc.date.issued | 2023-01 |
| dc.description | The version of record is available online at: http://dx.doi.org/10.1177/17483026231186012 |
| dc.description.abstract | The 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.peerreviewed | Peer Reviewed |
| dc.description.sdg | Objectius 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.sdg | Objectius de Desenvolupament Sostenible::3 - Salut i Benestar |
| dc.description.version | Postprint (published version) |
| dc.identifier.citation | Fonseca, 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.doi | 10.1177/17483026231186012 |
| dc.identifier.issn | 1748-3018 |
| dc.identifier.uri | https://hdl.handle.net/2117/397140 |
| dc.language.iso | eng |
| dc.relation.publisherversion | https://journals.sagepub.com/doi/10.1177/17483026231186012 |
| dc.rights.access | Open Access |
| dc.rights.licensename | Attribution-NonCommercial 4.0 International |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ |
| dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències |
| dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa |
| dc.subject.ams | Classificació AMS::92 Biology and other natural sciences::92B Mathematical biology in general |
| dc.subject.ams | Classificació AMS::65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations |
| dc.subject.lcsh | COVID-19 (Disease) |
| dc.subject.lcsh | Numerical analysis--Simulation methods |
| dc.subject.lemac | COVID-19 (Malaltia) |
| dc.subject.lemac | Anàlisi numèrica |
| dc.subject.other | Simulation |
| dc.subject.other | Optimization |
| dc.subject.other | SARS-CoV-2 |
| dc.subject.other | Influenza |
| dc.subject.other | Interaction |
| dc.title | Modelling influenza and SARS-CoV-2 interaction: analysis for Catalonia region |
| dc.type | Article |
| dspace.entity.type | Publication |
| local.citation.author | Fonseca, P.; García, V.; Garcia, J. |
| local.citation.publicationName | Journal of algorithms and computational technology |
| local.citation.volume | 17 |
| local.identifier.drac | 37787910 |
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