A Review on Misleading COVID-19 Statistics
By: D. Y. Jayasinghe, P. Dias and C. L. Jayasinghe
Open Access
|Dec 2020Abstract
Coronavirus (COVID-19) is an infectious disease caused by a newly discovered virus (WHO, 2021) which has established worldwide spread and hence has become the most discussed topic. In explaining the severity of the disease, various statistics are utilized by various governing/non-governing bodies as well as by the general public. Intentionally or unintentionally a plethora of misleading statistics including count data comparisons, graphical representations, indices etc. have been released daily to media all around the world, irrespective of the computational complexity. This paper presents a collection of such instances along with possible rectifications to mitigate the adverse effect of misguided decisions made.
DOI: https://doi.org/10.4038/sljastats.v21i3.8063 | Journal eISSN: 2424-6271
Language: English
Page range: 74 - 80
Published on: Dec 31, 2020
Published by: The Institute of Applied Statistics, Sri Lanka
In partnership with: Paradigm Publishing Services
© 2020 D. Y. Jayasinghe, P. Dias, C. L. Jayasinghe, published by The Institute of Applied Statistics, Sri Lanka
This work is licensed under the Creative Commons License.