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dc.contributor.authorLlorca Díaz, Francisco Javier es_ES
dc.contributor.authorGómez Acebo, Inés es_ES
dc.contributor.authorAlonso Molero, Jessicaes_ES
dc.contributor.authorDierssen Sotos, Trinidad es_ES
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2024-01-02T09:56:09Z
dc.date.available2024-01-02T09:56:09Z
dc.date.issued2023es_ES
dc.identifier.issn2296-2565es_ES
dc.identifier.urihttps://hdl.handle.net/10902/30987
dc.description.abstractIntroduction: Several indicators were employed to manage the COVID-19 pandemic. In this study, our objective was to compare the instantaneous reproductive number and the epidemic growth rate in the Spanish population. Methods: Data on daily numbers of cases, admissions into hospitals, admissions into ICUs, and deaths due to COVID-19 in Spain from March 2020 to March 2022 were obtained. The four "pandemic state indicators", which are daily numbers of cases, admissions into hospitals, admissions into ICUs, and deaths due to COVID-19 in Spain from March 2020 to March 2022 were obtained from the Instituto de Salud Carlos III. The epidemic growth rate was estimated as the derivative of the natural logarithm of daily cases with respect to time. Both the reproductive number and the growth rate, as "pandemic trend indicators," were evaluated according to their capacity to anticipate waves as "pandemic state indicators." Results: Using both the reproductive number and the epidemic growth rate, we were able to anticipate most COVID-19 waves. In most waves, the more severe the presentation of COVID-19, the more effective the pandemic trend indicators would be. Conclusion: Besides daily number of cases or other measures of disease frequency, the epidemic growth rate and the reproductive number have different roles in measuring the trend of an epidemic. Naïve interpretations and the use of any indicator as a unique value to make decisions should be discouraged.es_ES
dc.format.extent8 p.es_ES
dc.language.isoenges_ES
dc.publisherFrontiers Media S.A.es_ES
dc.rightsAttribution 4.0 International*
dc.rights© 2023 Llorca, Gómez-Acebo, Alonso-Molero and Dierssen-Sotoses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceFrontiers in Public Health, 2023, 11, 1233043es_ES
dc.subject.otherCOVID-19es_ES
dc.subject.otherSARS-CoV-2es_ES
dc.subject.otherReproductive numberes_ES
dc.subject.otherEpidemic growth ratees_ES
dc.subject.otherEpidemic growth curvees_ES
dc.titleInstantaneous reproduction number and epidemic growth rate for predicting COVID-19 waves: the first 2 years of the pandemic in Spaines_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.3389/fpubh.2023.1233043es_ES
dc.type.versionpublishedVersiones_ES


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Attribution 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution 4.0 International