Evidence map›Paper›PMID 33162619›Full record

ArticleTechnological forecasting and social change2021

Role of media coverage in mitigating COVID-19 transmission: Evidence from China.

Ning Liu, Zhuo Chen, Guoxian Bao

Abstract read
In one paragraph

Article in Technological forecasting and social change, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  10. Social-economic impacts of epidemic diseases.Technological forecasting and social change · 2022
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  16. COVID-19 Vaccination Strategy in China: A Case Study.Epidemiologia (Basel, Switzerland) · 2021
    Article
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  18. Article
  19. Article
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.

Ning LiuSchool of Management, Lanzhou University, Lanzhou, China.
Zhuo ChenCollege of Public Health, University of Georgia, Athens, Georgia, the United States.
Guoxian BaoSchool of Management, Lanzhou University, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper evaluates the impact of COVID-19 media coverage in mitigating its spread in China during the early phase of the pandemic. We construct a provincial-level dataset on COVID-19 and link it with population mobility data, among other control variables, to estimate how media coverage mitigates the spread of COVID-19. Seemingly unrelated regressions are used to examine the simultaneous impact of media coverage on the number of new cases and close contacts. The results show that the effect of media coverage on COVID-19 transmission in China had an inverse-U curvature and was mediated by within- and across-province population mobility. Our simulation results indicate that COVID-19 media coverage in China was associated with a potential reduction of 394,000 cases and 1.4 million close contacts during January 19 and February 29, 2020. Our results also provide strong support for the use of contact tracing in mitigating COVID-19 transmission.

Indexed as

ChinaContact tracingCOVID-19Media coveragePopulation mobility

Identifiers

PMID33162619
PMCPMC7604032

What OpenQuestion holds

Textmetadata
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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.