Evidence map›Paper›PMID 32728852›Full record

ArticleInternational journal of public health2020

Unexpected public health consequences of the COVID-19 pandemic: a national survey examining anti-Asian attitudes in the USA.

Lindsay Y Dhanani, Berkeley Franz

Open access · bronzeAbstract read
In one paragraph

Article in International journal of public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
11.7field-weighted citation impact, top 1% of its field
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

49 citing papers in PubMed, 123 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Lindsay Y DhananiDepartment of Psychology, Ohio University, 22 Richland Avenue, Athens, OH, 45701, USA. dhanani@ohio.edu.
Berkeley FranzDepartment of Social Medicine, Heritage College of Osteopathic Medicine, Ohio University, Grosvenor 311, Athens, OH, 45701, USA.
Ohio University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis paper empirically examines whether and how COVID-19 may be activating bias and discrimination toward individuals of Asian descent.

methodsIn March 2020, we used a national online survey to collect data from 1141 US residents. Using descriptive statistics and multivariate regression, we estimated the prevalence and COVID-19-related predictors of bias toward people of Asian descent.

resultsWe found over 40% of our sample reported they would engage in at least one discriminatory behavior toward people of Asian descent. Respondents who were fearful of COVID-19 (b = .09, p < 0.001) and had less accurate knowledge about the virus (b = - .07, p < 0.001) reported more negative attitudes toward Asians as did respondents with less trust in science (b = - .06, p < 0.001) and more trust in President Trump (b = .04, p < 0.001).

conclusionsPublic health leaders must confront fear of the virus, improve knowledge, and bolster trust in science as these factors may evoke negative attitudes toward Asians and increase prejudice and discrimination. Specifically, our findings warrant the adoption of public health campaigns that provide health information and build trust in scientific knowledge.

Indexed as

PandemicsPublic HealthAdolescentAdultAgedAged, 80 and overAsian PeopleCoronavirus InfectionsCOVID-19Empirical ResearchFemaleHumansMaleMiddle AgedPneumonia, ViralRacismAsiansBiasCOVID-19Prejudice

Identifiers

PMID32728852
PMCPMC7388430
OpenAlexW3046165309

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.