Socioeconomic inequalities in COVID-19 incidence during the first six waves in Barcelona

Author:

Martinez-Beneito Miguel Angel1,Marí-Dell’Olmo Marc234,Sánchez-Valdivia Nacho5,Rodríguez-Sanz Maica3467,Pérez Glòria3457,Pasarín Maria Isabel3478,Rius Cristina3479,Artazcoz Lucía34710ORCID,Prieto Raquel49,Pérez Katherine3411,Borrell Carme34712

Affiliation:

1. Department of Statistics and Operations Research, University of Valencia , Burjassot, Valencia, Spain

2. Unit of Data Management and Analysis, Agència de Salut Pública de Barcelona (ASPB) , Barcelona, Spain

3. CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain

4. Institut d'Investigació Biomèdica Sant Pau (IIB, SANT PAU) , Barcelona, Spain

5. Unit of COVID-19, Agència de Salut Pública de Barcelona (ASPB) , Barcelona, Spain

6. Unit of Research, Training and Communication, Agència de Salut Pública de Barcelona (ASPB) , Barcelona, Spain

7. Department of Medicine and Life Sciences, Universitat Pompeu Fabra , Barcelona, Spain

8. Direction of Health Promotion, Agència de Salut Pública de Barcelona (ASPB) , Barcelona, Spain

9. Service of Epidemiology, Agència de Salut Pública de Barcelona (ASPB) , Barcelona, Spain

10. Direction of Health Observatory, Agència de Salut Pública de Barcelona (ASPB) , Barcelona, Spain

11. Service of Health Information Systems, Agència de Salut Pública de Barcelona (ASPB) , Barcelona, Spain

12. Executive Director, Agència de Salut Pública de Barcelona (ASPB) , Barcelona, Spain

Abstract

Abstract Background The emergence of SARS-CoV-2 affected urban areas. In Barcelona, six waves of COVID-19 hit the city between March 2020 and March 2022. Inequalities in the incidence of COVID-19 have been described. However, no studies have examined the daily trends of socioeconomic inequalities and how they changed during the different phases of the pandemic. The aim of this study is to analyse the dynamic socioeconomic inequalities in the incidence of COVID-19 during the six waves in Barcelona. Methods We examined the proportion of daily cases observed in the census tracts in the lower income tercile compared with the proportion of daily cases observed in the sum of the lower and higher income terciles. Daily differences in these proportions were assessed as a function of the epidemic waves, sex, age group, daily incidence and daily change in the incidence. A logistic regression model with an autoregressive term was used for statistical analysis. Results A time-dynamic effect was found for socioeconomic inequalities in the incidence of COVID-19. In fact, belonging to a lower-income area changed from being a risk factor (Waves 1, 2, 4 and 5) to being a protective factor in the sixth wave of the pandemic. Age also had a significant effect on incidence, which also changed over the different waves of the pandemic. Finally, the lower-income areas showed a comparatively lower incidence during the ascending phase of the epidemic waves. Conclusion Socioeconomic inequalities in COVID-19 changed by wave, age group and wave phase.

Publisher

Oxford University Press (OUP)

Subject

General Medicine,Epidemiology

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