Evidence map›Paper›PMID 35935667›Full record

ArticleSociological forum (Randolph, N.J.)2022

"It's (Not) Like the Flu": Expert Narratives and the COVID-19 Pandemic in Mainland China, Hong Kong, and the United States.

Larry Au, Zheng Fu, Chuncheng Liu

Abstract read
In one paragraph

Article in Sociological forum (Randolph, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Larry AuDepartment of Sociology The City College of New York New York NY.ORCID https://orcid.org/0000-0003-0642-9134
Zheng FuDepartment of Sociology Columbia University New York NY.ORCID https://orcid.org/0000-0002-7391-6912
Chuncheng LiuDepartment of Sociology University of California San Diego La Jolla CA.ORCID https://orcid.org/0000-0001-5842-7988

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We trace the crafting of expert narratives during the initial months of the COVID-19 pandemic in Mainland China, Hong Kong, and the United States. By expert narratives, we refer to how experts drew different lessons from past disease experiences to guide policymakers and the public amidst uncertainty. These expert narratives were mobilized in different sociopolitical contexts, resulting in varying configurations of expertise networks and allies that helped contain and mitigate COVID-19. In Mainland China, experts carefully advanced a managed narrative, emphasizing the new pandemic akin to the 2003 SARS outbreak can be managed while destressing the similar mistakes the government made during the two crises. In Hong Kong, experts invoked a distrust narrative, pointing to a potential coverup of COVID-19 similar to SARS, activating allies in civil society to pressure policymakers to act. In the United States, experts were mired in a contested narrative and COVID-19 was compared to different diseases; varying interpretations of COVID-19's consequences was exacerbated by political polarization. In expert narratives, the resonance of the past is emergent: the past becomes a site of struggle and a cultural object that is presented as potentially useful in solving problems of the present.

Indexed as

COVID‐19cultureexpertiseglobal healthnetworksresonance

Identifiers

PMID35935667
PMCPMC9347412

What OpenQuestion holds

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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.