Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 217

The DOI matches its Crossref record.

This Time Must Be Different: Disparities During the COVID-19 Pandemic

Open access
Bibbins-Domingo, Kirsten·2020·Annals of Internal Medicine

Abstract

African Americans and Latinos are overrepresented among cases of and deaths from COVID-19 nationally and in many of the U.S. regions hardest hit by the pandemic. The editorialist discusses lessons that we should have learned from prior experiences and strategies to reduce observed disparities.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.7326/m20-2247

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 217

Metadata

Authors
Bibbins-Domingo, K.
Venue
Annals of Internal Medicine
Published
2020-08-04
Volume
173
Issue
3
Pages
233-234
ISSN
  • 0003-4819 (ISSN-L)
  • 1539-3704
OpenAlex
W3018086273
Cited by
217
References
0
FWCI
26.81
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: This Time Must Be Different: Disparities During the COVID-19 Pandemic. https://app.cochat.ai/papers/10.7326/m20-2247
The paper
Bibbins-Domingo, K. (2020). This Time Must Be Different: Disparities During the COVID-19 Pandemic. Annals of Internal Medicine. https://doi.org/10.7326/m20-2247

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.