Evidence map›Paper›PMID 36658211›Full record

ArticleNature human behaviour2023

The cost of anti-Asian racism during the COVID-19 pandemic.

Justin T Huang, Masha Krupenkin, David Rothschild, Julia Lee Cunningham

Abstract read
PubMed Publisher
In one paragraph

Article in Nature human behaviour, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Did anti-Asian racism decrease after the COVID-19 pandemic in Canada?Canadian journal of public health = Revue canadienne de sante publique · 2026
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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

4 authors.

Justin T HuangMarketing, University of Michigan, Ann Arbor, MI, US. huangjt@umich.edu.ORCID http://orcid.org/0000-0002-8270-0742
Masha KrupenkinPolitical Science, Boston College, Boston, MA, US. krupenki@bc.edu.ORCID http://orcid.org/0000-0002-1511-4217
David RothschildMicrosoft Research, New York City, NY, US. David@ResearchDMR.com.
Julia Lee CunninghamManagement and Organizations, University of Michigan, Ann Arbor, MI, US. profjlee@umich.edu.ORCID http://orcid.org/0000-0002-6650-7088

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-Chinese sentiment increased during the COVID-19 pandemic, presenting as a considerable spike in overt violence and hatred directed at Asian American individuals. However, it is less clear how subtle patterns of consumer discrimination, which are difficult to directly observe yet greatly impact Asian American livelihoods, changed through the pandemic. Here we examine this in the context of restaurants-ubiquitous small businesses that sell goods that are closely entwined with ethnicity. Using a series of surveys, online search trends and consumer traffic data, we find that Asian restaurants experienced an 18.4% decrease in traffic (estimated US$7.42 billion lost revenue in 2020) relative to comparable non-Asian restaurants, with greater decreases in areas with higher levels of support for Donald Trump. Our findings are consistent with the roles of collective blame, out-group homogeneity and ethnic misidentification in explaining how anti-China rhetoric can harm the Asian American community, underlining the importance of avoiding racism and stigmatization in political and public health communications.

Indexed as

COVID-19Health CommunicationRacismAsianHumansPandemics

Identifiers

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.