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Currently submitted to: Journal of Medical Internet Research

Date Submitted: May 22, 2020
Open Peer Review Period: May 22, 2020 - Jul 17, 2020
(currently open for review and needs more reviewers - can you help?)

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Manifestations of mortality based global data of COVID-19; unifying global model through single parameter

  • Vijay Jindal; 

ABSTRACT

Critical inspection of the world data of COVID-19 mortality rates per population number has been made and used to express extensive variations in mortality over the globe in terms of a powered parameter λ varying from 0 to 1.2 expressed as a measure of strength of primary infection, originating from China source. The copying process is degenerating successively while infection is passed on to secondary subjects. We have been able to correlate global data through this parameter; any value close to or less than 1 shows significant impact of diluted multiple secondary effect. Further, the scatter diagram shows no effect of temperature of the geographical location and so is likely as the virus is only being spread from either contact or close proximity; the virus does not need to face highs and lows of temperatures of the environment. It stays only in the range of human body temperature and appears to be stable in 36 to 40C range. If it faces the environmental temperatures it is possible for its quicker deactivation but that situation never arises for this virus except when it spreads from surfaces.


 Citation

Please cite as:

Jindal V

Manifestations of mortality based global data of COVID-19; unifying global model through single parameter

JMIR Preprints. 22/05/2020:20267

DOI: 10.2196/preprints.20267

URL: https://preprints.jmir.org/preprint/20267

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