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The association between socioeconomic status and pandemic influenza: Systematic review and meta-analysis

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  • Svenn-Erik Mamelund
  • Clare Shelley-Egan
  • Ole Rogeberg

Abstract

Background: The objective of this study is to document whether and to what extent there is an association between socioeconomic status (SES) and disease outcomes in the last five influenza pandemics. Methods/principle findings: The review included studies published in English, Danish, Norwegian and Swedish. Records were identified through systematic literature searches in six databases. We summarized results narratively and through meta-analytic strategies. Only studies for the 1918 and 2009 pandemics were identified. Of 14 studies on the 2009 pandemic including data on both medical and social risk factors, after controlling for medical risk factors 8 demonstrated independent impact of SES. In the random effect analysis of 46 estimates from 35 studies we found a pooled mean odds ratio of 1.4 (95% CI: 1.2–1.7, p

Suggested Citation

  • Svenn-Erik Mamelund & Clare Shelley-Egan & Ole Rogeberg, 2021. "The association between socioeconomic status and pandemic influenza: Systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-31, September.
    • Handle: RePEc:plo:pone00:0244346
    DOI: 10.1371/journal.pone.0244346
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    References listed on IDEAS

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    1. Sven Drefahl & Matthew Wallace & Eleonora Mussino & Siddartha Aradhya & Martin Kolk & Maria Brandén & Bo Malmberg & Gunnar Andersson, 2020. "A population-based cohort study of socio-demographic risk factors for COVID-19 deaths in Sweden," Nature Communications, Nature, vol. 11(1), pages 1-7, December.
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    1. Basco, Sergi & Domènech, Jordi & Rosés, Joan R., 2024. "Socioeconomic mortality differences during the Great Influenza in Spain," Economics & Human Biology, Elsevier, vol. 52(C).
    2. Doran, Áine & Colvin, Christopher L. & McLaughlin, Eoin, 2024. "What can we learn from historical pandemics? A systematic review of the literature," Social Science & Medicine, Elsevier, vol. 342(C).
    3. Michele Tizzoni & Elaine O. Nsoesie & Laetitia Gauvin & Márton Karsai & Nicola Perra & Shweta Bansal, 2022. "Addressing the socioeconomic divide in computational modeling for infectious diseases," Nature Communications, Nature, vol. 13(1), pages 1-7, December.

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