This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2089) Infodemiology and Infoveillance (1005) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (822) Information Retrieval (214) Information Seeking, Information Needs (336) Outbreak and Pandemic Preparedness and Management (1455) Consumer & Patient Education and Shared-Decision Making (517) Quality/Credibility of eHealth Information and Trust Issues (371) Information Quality in Digital Media (267)

Published on in Vol 23 , No 4 (2021) :April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26331, first published .
Assessing Public Interest Based on Wikipedia’s Most Visited Medical Articles During the SARS-CoV-2 Outbreak: Search Trends Analysis

Assessing Public Interest Based on Wikipedia’s Most Visited Medical Articles During the SARS-CoV-2 Outbreak: Search Trends Analysis

Assessing Public Interest Based on Wikipedia’s Most Visited Medical Articles During the SARS-CoV-2 Outbreak: Search Trends Analysis

Authors of this article:

Jędrzej Chrzanowski 1 Author Orcid Image ;   Julia Sołek 1, 2 Author Orcid Image ;   Wojciech Fendler 1 Author Orcid Image ;   Dariusz Jemielniak 3 Author Orcid Image
Article Authors Cited by (8) Tweetations (22) Metrics
Jędrzej Chrzanowski 1 * ;   Julia Sołek 1, 2 * , MD ;   Wojciech Fendler 1 , MD, PhD ;   Dariusz Jemielniak 3 , PhD

1 Department of Biostatistics and Translational Medicine , Medical University of Łódź , Łódź , PL

2 Department of Pathology , Medical University of Łódź , Łódź , PL

3 Management in Networked and Digital Societies , Kozminski University , Warszawa , PL

*these authors contributed equally

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