A multicenter COVID-19 database from four waves in the south metropolitan area of Barcelona, Catalonia

The COVID-19 pandemic has been characterized by a series of epidemiological waves, each defined by distinct viral variants and shifting transmission dynamics. Examining these waves is essential for understanding temporal changes in case incidence, hospitalization rates, mortality patterns, and healthcare system capacity. In this work, we present a database from a multicenter COVID-19 study including data of 5813 patients from four waves of the pandemic in the south metropolitan area of Barcelona. The database contains information collected at hospital admission and during patient follow-up while in hospital. Data were prospectively recorded from the patients' medical records. The database includes information on demographic characteristics, comorbidities, and clinical signs and symptoms at admission, as well as detailed data on clinical management and treatments administered during hospitalisation across four pandemic waves. The database has been made publicly available to support reproducible research and to enable its reuse in secondary analyses and predictive model validation, and for use as a teaching resource.

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Publication Details

Journal
Scientific Data
Published
2026-05-29
DOI
https://doi.org/10.1038/s41597-026-07479-7
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00

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article

A multicenter COVID-19 database from four waves in the south metropolitan area of Barcelona, Catalonia

S Videla, C. Tebe, G. Gómez-Melis, N. Pallarès et al.
Scientific Data
COVID-19 epidemiological studies
article

A multicenter COVID-19 database from four waves in the south metropolitan area of Barcelona, Catalonia

S Videla, C. Tebe, G. Gómez-Melis, N. Pallarès, E. Izquierdo, A. Rodríguez-Molinero, J. Carratalà, V. Díaz-Brito, A. Coloma, J. Carmezim
article en

Abstract

The COVID-19 pandemic has been characterized by a series of epidemiological waves, each defined by distinct viral variants and shifting transmission dynamics. Examining these waves is essential for understanding temporal changes in case incidence, hospitalization rates, mortality patterns, and healthcare system capacity. In this work, we present a database from a multicenter COVID-19 study including data of 5813 patients from four waves of the pandemic in the south metropolitan area of Barcelona. The database contains information collected at hospital admission and during patient follow-up while in hospital. Data were prospectively recorded from the patients' medical records. The database includes information on demographic characteristics, comorbidities, and clinical signs and symptoms at admission, as well as detailed data on clinical management and treatments administered during hospitalisation across four pandemic waves. The database has been made publicly available to support reproducible research and to enable its reuse in secondary analyses and predictive model validation, and for use as a teaching resource.

Scientific Data
Instituto de Salud Carlos III (ES), Hospital de Viladecans (ES), Centro de Investigación Biomédica en Red (ES), Parc Sanitari Sant Joan de Déu (ES), Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol (ES), Hospital Universitari Germans Trias i Pujol (ES), Consorci Sanitari Garraf (ES), Universitat de Barcelona (ES), Universitat Politècnica de Catalunya (ES)
Centres de Recerca de Catalunya, Generalitat de Catalunya, Departament d'Empresa i Coneixement, Generalitat de Catalunya, Departament de Recerca i Universitats, Generalitat de Catalunya
Good health and well-being
Openalex Percentile: Top 6%
COVID-19 epidemiological studies
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