Literature DB >> 27872284

Disparities in influenza mortality and transmission related to sociodemographic factors within Chicago in the pandemic of 1918.

Kyra H Grantz1,2, Madhura S Rane3, Henrik Salje4,5, Gregory E Glass2,6, Stephen E Schachterle7, Derek A T Cummings8,2,4.   

Abstract

Social factors have been shown to create differential burden of influenza across different geographic areas. We explored the relationship between potential aggregate-level social determinants and mortality during the 1918 influenza pandemic in Chicago using a historical dataset of 7,971 influenza and pneumonia deaths. Census tract-level social factors, including rates of illiteracy, homeownership, population, and unemployment, were assessed as predictors of pandemic mortality in Chicago. Poisson models fit with generalized estimating equations (GEEs) were used to estimate the association between social factors and the risk of influenza and pneumonia mortality. The Poisson model showed that influenza and pneumonia mortality increased, on average, by 32.2% for every 10% increase in illiteracy rate adjusted for population density, homeownership, unemployment, and age. We also found a significant association between transmissibility and population density, illiteracy, and unemployment but not homeownership. Lastly, analysis of the point locations of reported influenza and pneumonia deaths revealed fine-scale spatiotemporal clustering. This study shows that living in census tracts with higher illiteracy rates increased the risk of influenza and pneumonia mortality during the 1918 influenza pandemic in Chicago. Our observation that disparities in structural determinants of neighborhood-level health lead to disparities in influenza incidence in this pandemic suggests that disparities and their determinants should remain targets of research and control in future pandemics.

Entities:  

Keywords:  1918; influenza; mortality; sociodemographic; transmission

Mesh:

Year:  2016        PMID: 27872284      PMCID: PMC5137773          DOI: 10.1073/pnas.1612838113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


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  43 in total

1.  Reply to Shanks and Brundage: Many plausible mechanisms of pandemic mortality disparities.

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Journal:  Proc Natl Acad Sci U S A       Date:  2017-04-06       Impact factor: 11.205

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Authors:  Gerardo Chowell; Cécile Viboud
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6.  Excess deaths associated with covid-19 pandemic in 2020: age and sex disaggregated time series analysis in 29 high income countries.

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7.  The effects of non-pharmaceutical interventions on SARS-CoV-2 transmission in different socioeconomic populations in Kuwait: a modeling study.

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8.  Developments in statistical inference when assessing spatiotemporal disease clustering with the tau statistic.

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9.  [Social inequalities in the regional spread of SARS-CoV-2 infections].

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10.  Spatio-Temporal Analysis of Influenza-Like Illness and Prediction of Incidence in High-Risk Regions in the United States from 2011 to 2020.

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