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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Infodemiology and Infoveillance (1349) JMIR Theme Issue: COVID-19 Special Issue (2452) Quality/Credibility of eHealth Information and Trust Issues (531) Information Quality in Digital Media (340) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1042) Outbreak and Pandemic Preparedness and Management (1728)

Published on in Vol 7, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22273, first published .
Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study

Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study

Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study

Authors of this article:

Olufemi Erinoso1 Author Orcid Image ;   Kikelomo Ololade Wright2 Author Orcid Image ;   Samuel Anya3 Author Orcid Image ;   Yetunde Kuyinu2 Author Orcid Image ;   Hussein Abdur-Razzaq3 Author Orcid Image ;   Abiodun Adewuya4 Author Orcid Image
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