Chandelier
Senior Member (Voting Rights)
A multicenter COVID-19 database from four waves in the south metropolitan area of Barcelona, Catalonia
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.
Web | DOI | Scientific Data
Pallarès, N.; Carmezim, J.; Rodríguez-Molinero, A.; Coloma, A.; Izquierdo, E.; Díaz-Brito, V.; Videla, S.; Carratalà, J.; Gómez-Melis, G.; Tebé, C.
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.
Web | DOI | Scientific Data
