Evidence map›Paper›PMID 27872284›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

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

Kyra H Grantz, Madhura S Rane, Henrik Salje, Gregory E Glass, Stephen E Schachterle, Derek A T Cummings

Open access · bronzeAbstract readHistorical Article
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 3 pooled it
5.5field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

78 citing papers in PubMed, 3 syntheses or guidelines pooled it, 168 citations in OpenAlex.

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  10. The Global Polycrisis and Health Inequalities.International journal of social determinants of health and health services · 2025
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18 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Kyra H GrantzDepartment of Biology, University of Florida, Gainesville, FL 32611.
Madhura S RaneDepartment of Epidemiology, University of Washington, Seattle, WA 98195.
Henrik SaljeDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205.
Gregory E GlassEmerging Pathogens Institute, University of Florida, Gainesville, FL 32611.
Stephen E SchachterleEpidemiology, Worldwide Safety & Regulatory, Pfizer Inc., New York, NY 10017.
Derek A T CummingsDepartment of Biology, University of Florida, Gainesville, FL 32611; datc@ufl.edu.
University of Florida · USJohns Hopkins University · USPfizer (United States) · USUniversity of Washington · US

Funding

Training, Outreach & Diversity ComponentU54GM088491 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI VAN PANHUIS, WILLEM GIJSBERT · 2009 to 2018
$16.7M
Methods for Reducing Spatial Uncertainty and Bias in Disease SurveillanceR01AI102939 · NIAID · JOHNS HOPKINS UNIVERSITY · PI LESSLER, JUSTIN · 2013 to 2017
$4.6M
NIAID NIH HHS R01 AI102939NIGMS NIH HHS U54 GM088491
6 · The paper itself

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.

Indexed as

Socioeconomic FactorsAdolescentAdultChildChild, PreschoolFemaleHistory, 20th CenturyHumansInfantInfant, NewbornInfluenza A Virus, H1N1 SubtypeInfluenza, HumanMaleMiddle AgedPandemicsPneumonia1918influenzamortalitysociodemographictransmission

Identifiers

PMID27872284
PMCPMC5137773
OpenAlexW2554057694

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.