Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

What We Do Not Know about COVID-19

Version 1 : Received: 24 April 2020 / Approved: 4 May 2020 / Online: 4 May 2020 (02:24:35 CEST)
Version 2 : Received: 7 May 2020 / Approved: 8 May 2020 / Online: 8 May 2020 (04:41:22 CEST)

How to cite: Masood, S. What We Do Not Know about COVID-19. Preprints 2020, 2020050045 (doi: 10.20944/preprints202005.0045.v1). Masood, S. What We Do Not Know about COVID-19. Preprints 2020, 2020050045 (doi: 10.20944/preprints202005.0045.v1).

Abstract

A comparative study of the growth pattern and death tolls in different communities indicates that the growth pattern of infected patients and death rate follow the similar distribution with different parametrizations. Every distribution follows an exponential growth pattern curve, like other microbes, then reaches the saturation point and eventually decays. However, the argument for the exponential function depends on several parameters unbeknownst, as of yet. However, the slope varies differentially for various epicenters and seems to have a relationship with parameters such as accessibility to healthcare facilities, pre-existing medical conditions, socio economic conditions and lifestyle. The mismatch of the growth pattern is also linked with the impact of various other factors and a premature interpretation of limited data. Novel behavior of the virus brought many surprises, opened up new venues for medical research, and the need for the more detailed study of pathogens in the light of the interaction of RNA and DNA. The adaptability to diverse ecological conditions and the relevant modification in the structure is also worth investigation. The genetic modification can be studied using quantum mechanical probabilistic approach.

Supplementary and Associated Material

http://worldometer.info: Data is used from this website
http://who.int: A lot of information is obtained from the referred articles at WHO website

Subject Areas

corona virus transmission; path of transmission of virus; missing information about cornavirus

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