Discrimination and Social Exclusion in the Outbreak of COVID-19
Open accessAbstract
This paper is aimed to document the observed social exclusion and discrimination in the outbreak of COVID-19 across the world and inside of China. Discrimination and social exclusion has occurred in various forms, while 25.11% of respondents overseas experienced discrimination in the breakout of COVID-19, and 90% of respondents inside of China exhibited discriminatory attitudes. The discrimination and social exclusion also lead to a range of damaging social outcomes. Thus, this is an urgent call for the inclusiveness in policy and media in the face of this public health emergency.
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.
Integrity signals
Registry
Cites
Statistics
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A recent study found 90% of respondents in China exhibited discriminatory attitudes toward people and regions associated with the COVID-19 outbreak.
“A recent study found 90% of respondents in China exhibited discriminatory attitudes toward people and regions associated with the COVID-19 outbreak [27].”
From Psychiatric symptoms, risk, and protective factors among university students in quarantine during the COVID-19 pandemic in China (2021) · cites this paper as [27]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 7 · Cited by 208
- Authors
- He, J., He, L., Zhou, W., Nie, X., & He, M.
- Affiliations
- Yunnan University (CN)
- Bates College (US)
- Corresponding author
- He, Ming
- Venue
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Published
- 2020-04-23
- Volume
- 17
- Issue
- 8
- Pages
- 2933
- ISSN
- 1660-4601 (ISSN-L)
- PMC
- PMC7215298
- OpenAlex
- W3020283781
- Cited by
- 208
- References
- 7
- Citations by year
- 2026: 3 · 2025: 12 · 2024: 16 · 2023: 31 · 2022: 58 · 2021: 56 · 2020: 32
- FWCI
- 53.09
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Ministry of Education of the People's Republic of China (16JJD850015)
- National Social Sciences Foundation of China (16ZDA151)
- Topics
- Social Sciences › Communication › Communication and COVID-19 Impact
- Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
- Social Sciences › Sociology and Political Science › COVID-19 Prevention and Impact
- Keywords
- COVID-19 pandemic, discrimination, social exclusion, stigmatization, public health emergencies, inclusive policy, media representation, China
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, China, Disease Outbreaks, Humans, Pneumonia, Viral, Public Health, Public Opinion, Surveys and Questionnaires, Social Conditions, Psychological Distance, Global Health, Coronavirus Infections, Pandemics, Social Discrimination
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
