Key epidemiological indicators and spatial autocorrelation patterns across five waves of COVID-19 in Catalonia

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• dc.contributor.author Belvis, Francesc Xavier
• dc.contributor.author Aleta, Alberto
• dc.contributor.author Padilla-Pozo, Álvaro
• dc.contributor.author Pericàs, Juan
• dc.contributor.author Fernández-Gracia, Juan
• dc.contributor.author Rodríguez, Jorge P.
• dc.contributor.author Eguíluz, Víctor M.
• dc.contributor.author De Santana, Charles Novaes
• dc.contributor.author Julià, Mireia
• dc.contributor.author Benach, Joan
• dc.contributor.author The COVID-SHINE group
• dc.date.accessioned 2024-03-07T07:16:08Z
• dc.date.available 2024-03-07T07:16:08Z
• dc.date.issued 2023
• dc.description.abstract This research studies the evolution of COVID-19 crude incident rates, effective reproduction number R(t) and their relationship with incidence spatial autocorrelation patterns in the 19 months following the disease outbreak in Catalonia (Spain). A cross-sectional ecological panel design based on n = 371 health-care geographical units is used. Five general outbreaks are described, systematically preceded by generalized values of R(t) > 1 in the two previous weeks. No clear regularities concerning possible initial focus appear when comparing waves. As for autocorrelation, we identify a wave’s baseline pattern in which global Moran’s I increases rapidly in the first weeks of the outbreak to descend later. However, some waves significantly depart from the baseline. In the simulations, both baseline pattern and departures can be reproduced when measures aimed at reducing mobility and virus transmissibility are introduced. Spatial autocorrelation is inherently contingent on the outbreak phase and is also substantially modified by external interventions affecting human behavior.
• dc.description.sponsorship All the authors acknowledge funding from the Social Observatory of the “la Caixa” Foundation as part of the project LCF/PR/SR20/52550011. Partial funding was also received from the Spanish Ministry of Science and Innovation (PID2020-117029RB-I00). Joan Benach gratefully acknowledges the financial support by ICREA under the ICREA Academia programme. J. Fernández-Gracia was supported by Direcció General de Política Universitària i Recerca from the government of the Balearic Islands through the postdoctoral program Vicenç Mut. J. P. Rodríguez is supported by Juan de la Cierva Formacion program (Ref. FJC2019-040622-I) funded by MCIN/AEI/ https://doi.org/10.13039/501100011033.
• dc.format.mimetype application/pdf
• dc.identifier.citation Belvis F, Aleta A, Padilla-Pozo A, Pericas JM, Fernandez-Gracia J, Rodriguez JP, Eguiluz VM, De Santana CN, Julia M, Benach J, Benach N, Cash-Gibson L, Delclos C, Gutierrez-Zamora M, Martinez-Herrera E, Palmer J, Rojas-Gualdron DF. Key epidemiological indicators and spatial autocorrelation patterns across five waves of COVID-19 in Catalonia. Sci Rep. 2023;13(1):9709. DOI: 10.1038/s41598-023-36169-2
• dc.identifier.doi http://dx.doi.org/10.1038/s41598-023-36169-2
• dc.identifier.issn 2045-2322
• dc.identifier.uri http://hdl.handle.net/10230/59346
• dc.language.iso eng
• dc.publisher Nature Research
• dc.relation.ispartof Scientific Reports. 2023;13(1):9709.
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2020-117029RB-I00
• dc.rights © Springer Nature Publishing AG http://dx.doi.org/10.1038/s41598-023-36169-2 [Creative Commons Attribution License (o) Creative Commons Attribution Non-Commercial Share Alike (o) Creative Commons Attribution Non-Commercial No-Derivatives]
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.title Key epidemiological indicators and spatial autocorrelation patterns across five waves of COVID-19 in Catalonia
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion