IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i3p1256-d490201.html
   My bibliography  Save this article

Socioeconomic Inequalities in COVID-19 in a European Urban Area: Two Waves, Two Patterns

Author

Listed:
  • Marc Marí-Dell’Olmo

    (Agència de Salut Pública de Barcelona, 08023 Barcelona, Spain
    CIBER de Epidemiología y Salud Pública, 28029 Madrid, Spain
    Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain)

  • Mercè Gotsens

    (Agència de Salut Pública de Barcelona, 08023 Barcelona, Spain
    Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain)

  • M Isabel Pasarín

    (Agència de Salut Pública de Barcelona, 08023 Barcelona, Spain
    CIBER de Epidemiología y Salud Pública, 28029 Madrid, Spain
    Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain
    Department of Experimental and Health Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Spain)

  • Maica Rodríguez-Sanz

    (Agència de Salut Pública de Barcelona, 08023 Barcelona, Spain
    CIBER de Epidemiología y Salud Pública, 28029 Madrid, Spain
    Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain
    Department of Experimental and Health Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Spain)

  • Lucía Artazcoz

    (Agència de Salut Pública de Barcelona, 08023 Barcelona, Spain
    CIBER de Epidemiología y Salud Pública, 28029 Madrid, Spain
    Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain
    Department of Experimental and Health Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Spain)

  • Patricia Garcia de Olalla

    (Agència de Salut Pública de Barcelona, 08023 Barcelona, Spain
    CIBER de Epidemiología y Salud Pública, 28029 Madrid, Spain
    Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain
    Department of Experimental and Health Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Spain)

  • Cristina Rius

    (Agència de Salut Pública de Barcelona, 08023 Barcelona, Spain
    CIBER de Epidemiología y Salud Pública, 28029 Madrid, Spain
    Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain
    Department of Pediatrics, Obstetrics, Gynecology, Preventive Medicine and Public Health, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain)

  • Carme Borrell

    (Agència de Salut Pública de Barcelona, 08023 Barcelona, Spain
    CIBER de Epidemiología y Salud Pública, 28029 Madrid, Spain
    Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain
    Department of Experimental and Health Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Spain)

Abstract

Background : The objective of this paper is to analyze social inequalities in COVID-19 incidence, stratified by age, sex, geographical area, and income in Barcelona during the first two waves of the pandemic. Methods : We collected data on COVID-19 cases confirmed by laboratory tests during the first two waves of the pandemic (1 March to 15 July and 16 July to 30 November, 2020) in Barcelona. For each wave and sex, we calculated smooth cumulative incidence by census tract using a hierarchical Bayesian model. We analyzed income inequalities in the incidence of COVID-19, categorizing the census tracts into quintiles based on the income indicator. Results : During the two waves, women showed higher COVID-19 cumulative incidence under 64 years, while the trend was reversed after that threshold. The incidence of the disease was higher in some poor neighborhoods. The risk ratio (RR) increased in the poorest groups compared to the richest ones, mainly in the second wave, with RR being 1.67 (95% Credible Interval-CI-: 1.41–1.96) in the fifth quintile income group for men and 1.71 (95% CI: 1.44–1.99) for women. Conclusion : Our results indicate the existence of inequalities in the incidence of COVID-19 in an urban area of Southern Europe.

Suggested Citation

  • Marc Marí-Dell’Olmo & Mercè Gotsens & M Isabel Pasarín & Maica Rodríguez-Sanz & Lucía Artazcoz & Patricia Garcia de Olalla & Cristina Rius & Carme Borrell, 2021. "Socioeconomic Inequalities in COVID-19 in a European Urban Area: Two Waves, Two Patterns," IJERPH, MDPI, vol. 18(3), pages 1-12, January.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:3:p:1256-:d:490201
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/3/1256/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/3/1256/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Julian Besag & Jeremy York & Annie Mollié, 1991. "Bayesian image restoration, with two applications in spatial statistics," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 43(1), pages 1-20, March.
    2. Håvard Rue & Sara Martino & Nicolas Chopin, 2009. "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(2), pages 319-392, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Christoph Lambio & Tillman Schmitz & Richard Elson & Jeffrey Butler & Alexandra Roth & Silke Feller & Nicolai Savaskan & Tobia Lakes, 2023. "Exploring the Spatial Relative Risk of COVID-19 in Berlin-Neukölln," IJERPH, MDPI, vol. 20(10), pages 1-22, May.
    2. Roula Maya, 2024. "Social and Spatial Inequalities during COVID-19: Evidence from France and the Need for a New Sustainable Urban and Regional Development Paradigm," Sustainability, MDPI, vol. 16(8), pages 1-29, April.
    3. Andrés Gómez-Lobo & Mauro Gutiérrez & Sandro Huamaní & Diego Marino & Tomás Serebrisky & Ben Solís, 2024. "Access to water and COVID-19: a regression discontinuity analysis for the peri-urban areas of metropolitan Lima, Peru," Water International, Taylor & Francis Journals, vol. 49(1), pages 52-79, January.
    4. Elizabeth Giron Cima & Miguel Angel Uribe Opazo & Marcos Roberto Bombacini & Weimar Freire da Rocha Junior & Luciana Pagliosa Carvalho Guedes, 2022. "Spatial Analysis: A Socioeconomic View on the Incidence of the New Coronavirus in Paraná-Brazil," Stats, MDPI, vol. 5(4), pages 1-15, October.
    5. Carme Borrell & Laia Palència & Marc Marí-Dell’Olmo & Xavier Bartoll & Mercè Gotsens & M. Isabel Pasarín & Lucía Artazcoz & Maica Rodríguez-Sanz & María José López & Katherine Pérez, 2023. "A City Surveillance System for Social Health Inequalities: The Case of Barcelona," IJERPH, MDPI, vol. 20(4), pages 1-7, February.
    6. Bárcena-Martín, Elena & Molina, Julián & Muñoz-Fernández, Ana & Pérez-Moreno, Salvador, 2022. "Vulnerability and COVID-19 infection rates: A changing relationship during the first year of the pandemic," Economics & Human Biology, Elsevier, vol. 47(C).
    7. Isabel Aguilar-Palacio & Lina Maldonado & Sara Malo & Raquel Sánchez-Recio & Iván Marcos-Campos & Rosa Magallón-Botaya & Mª José Rabanaque, 2021. "COVID-19 Inequalities: Individual and Area Socioeconomic Factors (Aragón, Spain)," IJERPH, MDPI, vol. 18(12), pages 1-15, June.
    8. Przemysław Śleszyński & Paulina Legutko-Kobus & Mark Rosenberg & Viktoriya Pantyley & Maciej J. Nowak, 2022. "Assessing Urban Policies in a COVID-19 World," IJERPH, MDPI, vol. 19(9), pages 1-19, April.
    9. Michele Marra & Elena Strippoli & Nicolás Zengarini & Giuseppe Costa, 2022. "Inequalities in the Health Impact of the First Wave of the COVID-19 Pandemic in Piedmont Region, Italy," IJERPH, MDPI, vol. 19(22), pages 1-17, November.
    10. Paolo Contiero & Alessandro Borgini & Martina Bertoldi & Anna Abita & Giuseppe Cuffari & Paola Tomao & Maria Concetta D’Ovidio & Stefano Reale & Silvia Scibetta & Giovanna Tagliabue & Roberto Boffi & , 2022. "An Epidemiological Study to Investigate Links between Atmospheric Pollution from Farming and SARS-CoV-2 Mortality," IJERPH, MDPI, vol. 19(8), pages 1-12, April.
    11. Hadi Alizadeh & Ayyoob Sharifi & Safiyeh Damanbagh & Hadi Nazarnia & Mohammad Nazarnia, 2023. "Impacts of the COVID-19 pandemic on the social sphere and lessons for crisis management: a literature review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(3), pages 2139-2164, July.
    12. Daniela Ramos-Usuga & Paul B. Perrin & Yelena Bogdanova & Laiene Olabarrieta-Landa & Elisabet Alzueta & Fiona C. Baker & Stella Iacovides & Mar Cortes & Juan Carlos Arango-Lasprilla, 2022. "Moderate, Little, or No Improvements in Neurobehavioral Symptoms among Individuals with Long COVID: A 34-Country Retrospective Study," IJERPH, MDPI, vol. 19(19), pages 1-16, October.
    13. Noel A Manzano Gómez, 2023. "Planning for social distancing: How the legacy of historical epidemics shaped COVID-19's spread in Madrid," Urban Studies, Urban Studies Journal Limited, vol. 60(9), pages 1570-1587, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shreosi Sanyal & Thierry Rochereau & Cara Nichole Maesano & Laure Com-Ruelle & Isabella Annesi-Maesano, 2018. "Long-Term Effect of Outdoor Air Pollution on Mortality and Morbidity: A 12-Year Follow-Up Study for Metropolitan France," IJERPH, MDPI, vol. 15(11), pages 1-8, November.
    2. Mayer Alvo & Jingrui Mu, 2023. "COVID-19 Data Analysis Using Bayesian Models and Nonparametric Geostatistical Models," Mathematics, MDPI, vol. 11(6), pages 1-13, March.
    3. Vanessa Santos-Sánchez & Juan Antonio Córdoba-Doña & Javier García-Pérez & Antonio Escolar-Pujolar & Lucia Pozzi & Rebeca Ramis, 2020. "Cancer Mortality and Deprivation in the Proximity of Polluting Industrial Facilities in an Industrial Region of Spain," IJERPH, MDPI, vol. 17(6), pages 1-15, March.
    4. Massimo Bilancia & Giacomo Demarinis, 2014. "Bayesian scanning of spatial disease rates with integrated nested Laplace approximation (INLA)," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 23(1), pages 71-94, March.
    5. Douglas R. M. Azevedo & Marcos O. Prates & Dipankar Bandyopadhyay, 2021. "MSPOCK: Alleviating Spatial Confounding in Multivariate Disease Mapping Models," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 26(3), pages 464-491, September.
    6. Jonathan Wakefield & Taylor Okonek & Jon Pedersen, 2020. "Small Area Estimation for Disease Prevalence Mapping," International Statistical Review, International Statistical Institute, vol. 88(2), pages 398-418, August.
    7. Julien Riou & Anthony Hauser & Anna Fesser & Christian L. Althaus & Matthias Egger & Garyfallos Konstantinoudis, 2023. "Direct and indirect effects of the COVID-19 pandemic on mortality in Switzerland," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    8. Isabel Martínez-Pérez & Verónica González-Iglesias & Valentín Rodríguez Suárez & Ana Fernández-Somoano, 2021. "Spatial Distribution of Hospitalizations for Ischemic Heart Diseases in the Central Region of Asturias, Spain," IJERPH, MDPI, vol. 18(23), pages 1-10, November.
    9. Johnson, Blair T. & Sisti, Anthony & Bernstein, Mary & Chen, Kun & Hennessy, Emily A. & Acabchuk, Rebecca L. & Matos, Michaela, 2021. "Community-level factors and incidence of gun violence in the United States, 2014–2017," Social Science & Medicine, Elsevier, vol. 280(C).
    10. Maike Tahden & Juliane Manitz & Klaus Baumgardt & Gerhard Fell & Thomas Kneib & Guido Hegasy, 2016. "Epidemiological and Ecological Characterization of the EHEC O104:H4 Outbreak in Hamburg, Germany, 2011," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-19, October.
    11. Márcio Poletti Laurini, 2017. "A spatial error model with continuous random effects and an application to growth convergence," Journal of Geographical Systems, Springer, vol. 19(4), pages 371-398, October.
    12. Radka Jersakova & James Lomax & James Hetherington & Brieuc Lehmann & George Nicholson & Mark Briers & Chris Holmes, 2022. "Bayesian imputation of COVID‐19 positive test counts for nowcasting under reporting lag," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(4), pages 834-860, August.
    13. Birgit Schrödle & Leonhard Held, 2011. "A primer on disease mapping and ecological regression using $${\texttt{INLA}}$$," Computational Statistics, Springer, vol. 26(2), pages 241-258, June.
    14. Darren J. Mayne & Geoffrey G. Morgan & Bin B. Jalaludin & Adrian E. Bauman, 2018. "Does Walkability Contribute to Geographic Variation in Psychosocial Distress? A Spatial Analysis of 91,142 Members of the 45 and Up Study in Sydney, Australia," IJERPH, MDPI, vol. 15(2), pages 1-24, February.
    15. Ana Carolina Carioca da Costa & Cláudia Torres Codeço & Elias Teixeira Krainski & Marcelo Ferreira da Costa Gomes & Aline Araújo Nobre, 2018. "Spatiotemporal diffusion of influenza A (H1N1): Starting point and risk factors," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-20, September.
    16. Luca Grassetti & Laura Rizzi, 2019. "The determinants of individual health care expenditures in the Italian region of Friuli Venezia Giulia: evidence from a hierarchical spatial model estimation," Empirical Economics, Springer, vol. 56(3), pages 987-1009, March.
    17. Ferreira, Marco A.R. & Porter, Erica M. & Franck, Christopher T., 2021. "Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects," Computational Statistics & Data Analysis, Elsevier, vol. 162(C).
    18. William Gonzalez Daza & Renata L. Muylaert & Thadeu Sobral-Souza & Victor Lemes Landeiro, 2023. "Malaria Risk Drivers in the Brazilian Amazon: Land Use—Land Cover Interactions and Biological Diversity," IJERPH, MDPI, vol. 20(15), pages 1-16, August.
    19. Jens Kandt & Shu-Sen Chang & Paul Yip & Ricky Burdett, 2017. "The spatial pattern of premature mortality in Hong Kong: How does it relate to public housing?," Urban Studies, Urban Studies Journal Limited, vol. 54(5), pages 1211-1234, April.
    20. Waterman, I. & Marek, L. & Ahuriri-Driscoll, A. & Mohammed, J. & Epton, M. & Hobbs, M., 2024. "Investigating the spatial and temporal variation of vape retailer provision in New Zealand: A cross-sectional and nationwide study," Social Science & Medicine, Elsevier, vol. 349(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:3:p:1256-:d:490201. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.