Biased Data, Fake News and Underreported Incidence Relating to COVID-19

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Rujittika Mungmungpunipantip
Private Academic Consultant.
Viroj Wiwanitkit
Honorary Professor, Dr DY Patil University, Pune, India.

Abstract

COVID-19 is still an important problem worldwide and the situation is still ongoing.  The registry data on COVID-19 usually has problem on accuracy. The biased data from a local authority is a possible problem. Sometimes, a conflict occurs and there is usually an issue for biased data versus fake news. Underreported incidence relating to COVID-19 might be expected.

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How to Cite
MUNGMUNGPUNIPANTIP, Rujittika; WIWANITKIT, Viroj. Biased Data, Fake News and Underreported Incidence Relating to COVID-19. International Journal of Current Research in Medicines & Medical Science [ISSN: 2582-1628 (online)], [S.l.], v. 4, n. 1, 2021. ISSN 2582-1628. Available at: <http://medical.eurekajournals.com/index.php/IJCRMMS/article/view/93>. Date accessed: 21 nov. 2024.
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Issue
Vol 4 No 1 (2021): International Journal of Current Research in Medicines & Medical Science [ISSN: 2582-1628]
Section
Articles