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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Jul 18, 2020
Date Accepted: Nov 3, 2020
Date Submitted to PubMed: Nov 6, 2020

The final, peer-reviewed published version of this preprint can be found here:

The COVID-19 Infodemic: Infodemiology Study Analyzing Stigmatizing Search Terms

Hu Z, Yang Z, Li Q, Zhang A

The COVID-19 Infodemic: Infodemiology Study Analyzing Stigmatizing Search Terms

J Med Internet Res 2020;22(11):e22639

DOI: 10.2196/22639

PMID: 33156807

PMCID: 7674145

Infodemiological study on COVID-19 epidemic and infodemic

  • Zhiwen Hu; 
  • Zhongliang Yang; 
  • Qi Li; 
  • An Zhang

ABSTRACT

Background:

The COVID-19 infodemic coordinating with the COVID-19 outbreak receives scant consideration. The global profusion of tangled monikers and hashtags has found their ways in daily communication and contributed to a backlash against the Chinese. Official naming efforts against infodemic should be met with a fair share of identification.

Objective:

Based on brief critical reviews on previous multifarious naming practices, we punctuate heuristic introspection in scientific conventions and sociocultural paradigms.

Methods:

Infodemiological analysis promises to articulate that people around the globe are divided in their favor stigmatized monikers because of perceptual bias in the public and scientific communities.

Results:

The official portfolio “COVID-19” and “SARS-CoV-2” has not become de facto standard usages, but the full-fledged names are excepted to duly contribute to the resilience of negative perceptual bias and collective behavioral propensities amid the public panic.

Conclusions:

As an integral component of preparedness, appropriate nomenclatures should be duly assigned to the newly identified coronavirus and social mobilization in one firm voice is a high priority for combating the COVID-19 infodemic.


 Citation

Please cite as:

Hu Z, Yang Z, Li Q, Zhang A

The COVID-19 Infodemic: Infodemiology Study Analyzing Stigmatizing Search Terms

J Med Internet Res 2020;22(11):e22639

DOI: 10.2196/22639

PMID: 33156807

PMCID: 7674145

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