Evidence map›Paper›PMID 34841246›Full record

ArticleSocial sciences & humanities open2021

Anti-Chinese stigma in the Greater Toronto Area during COVID-19: Aiming the spotlight towards community capacity.

Aaida A Mamuji, Charlotte Lee, Jack Rozdilsky, Jayesh D'Souza, Terri Chu

Abstract read
In one paragraph

Article in Social sciences & humanities open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. 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

5 authors.

Aaida A MamujiDisaster & Emergency Management York University, Toronto, Canada.
Charlotte LeeDaphne Cockwell School of Nursing Ryerson University, Toronto, Canada.
Jack RozdilskyDisaster & Emergency Management York University, Toronto, Canada.
Jayesh D'SouzaGlobal Sustainability University of California, Los Angeles, USA.
Terri ChuCommunication & Culture York University, Toronto, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the geographic origins of the first major outbreak of COVID-19 in Wuhan, China, individuals of Chinese ethnic origin around the world have experienced discrimination, xenophobia, and racism during the pandemic. Discriminatory actions have ranged from outright physical aggression to subtle microaggressions. While reports (both media and academic) have highlighted such incidents, this paper argues that when the conversation starts and stops at the reporting of experiences of stigma, the narrative remains as the victimization of the community. Instead, instances of COVID-19 stigma and discrimination are only one aspect of this story, where other aspects include a deeper understanding of the community itself along with an awareness of the capacity that the Chinese diaspora community brings forward to help overcome COVID-19. We focus our discussion on the Greater Toronto Area (GTA) in Canada, a global urban center that has a sizeable ethnic Chinese diaspora community, and argue that highlighting the early actions that the community took to help broader society in dealing with COVID-19 at the start of the pandemic may help to reframe anti-Chinese stigma during the pandemic. These early actions include physical distancing, mask-wearing, sanitation and advocacy. Findings for this case-study are informed by media monitoring and interviews with 83 individuals identifying as ethnically Chinese living across the GTA.

Indexed as

COVID-19 pandemicGreater Toronto areaPublic health actionsSinophobiaStigma

Identifiers

PMID34841246
PMCPMC8603781

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.