Evidence map›Paper›PMID 34003112›Full record

ArticleeLife2021

Modeling the impact of racial and ethnic disparities on COVID-19 epidemic dynamics.

Kevin C Ma, Tigist F Menkir, Stephen Kissler, Yonatan H Grad, Marc Lipsitch

Abstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
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

26 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kevin C MaDepartment of Immunology and Infectious Diseases, Harvard TH Chan School of Public Health, Boston, United States.ORCID 0000-0002-4326-2911
Tigist F MenkirCenter for Communicable Disease Dynamics, Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, United States.ORCID 0000-0001-6070-8017
Stephen KisslerDepartment of Immunology and Infectious Diseases, Harvard TH Chan School of Public Health, Boston, United States.ORCID 0000-0001-6000-8387
Yonatan H GradDepartment of Immunology and Infectious Diseases, Harvard TH Chan School of Public Health, Boston, United States.ORCID 0000-0001-5646-1314
Marc LipsitchDepartment of Immunology and Infectious Diseases, Harvard TH Chan School of Public Health, Boston, United States.ORCID 0000-0003-1504-9213

Funding

Casual, Statistical and Mathematical Modeling with Serologic DataU01CA261277 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANAGE, WILLIAM, LIPSITCH, MARC · 2020 to 2023
$2.8M
NCI NIH HHS U01 CA261277
6 · The paper itself

Abstract

Background: The impact of variable infection risk by race and ethnicity on the dynamics of SARS-CoV-2 spread is largely unknown. Methods: Here, we fit structured compartmental models to seroprevalence data from New York State and analyze how herd immunity thresholds (HITs), final sizes, and epidemic risk change across groups. Results: A simple model where interactions occur proportionally to contact rates reduced the HIT, but more realistic models of preferential mixing within groups increased the threshold toward the value observed in homogeneous populations. Across all models, the burden of infection fell disproportionately on minority populations: in a model fit to Long Island serosurvey and census data, 81% of Hispanics or Latinos were infected when the HIT was reached compared to 34% of non-Hispanic whites. Conclusions: Our findings, which are meant to be illustrative and not best estimates, demonstrate how racial and ethnic disparities can impact epidemic trajectories and result in unequal distributions of SARS-CoV-2 infection. Funding: K.C.M. was supported by National Science Foundation GRFP grant DGE1745303. Y.H.G. and M.L. were funded by the Morris-Singer Foundation. M.L. was supported by SeroNet cooperative agreement U01 CA261277.

Indexed as

Health Status DisparitiesModels, StatisticalAsian PeopleBlack or African AmericanCost of IllnessCOVID-19Hispanic or LatinoHumansImmunity, HerdMinority GroupsNew YorkPandemicsSARS-CoV-2Seroepidemiologic StudiesWhite PeopleCOVID-19epidemiologyglobal healthHerd immunitymathematical modelingSARS-CoV-2viruses

Identifiers

PMID34003112
PMCPMC8221808

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.