COVID-19: Nothing is Normal in this Pandemic
- https://doi.org/10.2991/jegh.k.210108.001How to use a DOI?
- Epidemic curve, normal distribution, log-normal distribution, Gaussian curve, COVID-19
This manuscript brings attention to inaccurate epidemiological concepts that emerged during the COVID-19 pandemic. In social media and scientific journals, some wrong references were given to a “normal epidemic curve” and also to a “log-normal curve/distribution”. For many years, textbooks and courses of reputable institutions and scientific journals have disseminated misleading concepts. For example, calling histogram to plots of epidemic curves or using epidemic data to introduce the concept of a Gaussian distribution, ignoring its temporal indexing. Although an epidemic curve may look like a Gaussian curve and be eventually modelled by a Gauss function, it is not a normal distribution or a log-normal, as some authors claim. A pandemic produces highly-complex data and to tackle it effectively statistical and mathematical modelling need to go beyond the “one-size-fits-all solution”. Classical textbooks need to be updated since pandemics happen and epidemiology needs to provide reliable information to policy recommendations and actions.
- © 2021 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Luzia Gonçalves AU - Maria Antónia Amaral Turkman AU - Carlos Geraldes AU - Tiago A. Marques AU - Lisete Sousa PY - 2021 DA - 2021/01 TI - COVID-19: Nothing is Normal in this Pandemic JO - Journal of Epidemiology and Global Health SN - 2210-6014 UR - https://doi.org/10.2991/jegh.k.210108.001 DO - https://doi.org/10.2991/jegh.k.210108.001 ID - Gonçalves2021 ER -