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.
How to Cite:
Jayasinghe, D.Y., Dias, P. and Jayasinghe, C.L., 2020. A Review on Misleading COVID-19 Statistics. Sri Lankan Journal of Applied Statistics, 21(3), pp.74–80. DOI: http://doi.org/10.4038/sljastats.v21i3.8063