Preprint Brief Report Version 2 Preserved in Portico This version is not peer-reviewed

Dominant Factors Determining Differences of COVID-19 Fatalities Between India and Other Large-Population Regions

Version 1 : Received: 30 April 2020 / Approved: 30 April 2020 / Online: 30 April 2020 (05:56:49 CEST)
Version 2 : Received: 3 July 2020 / Approved: 5 July 2020 / Online: 5 July 2020 (16:41:36 CEST)

How to cite: Yarlagadda, S.; Kar, S. Dominant Factors Determining Differences of COVID-19 Fatalities Between India and Other Large-Population Regions. Preprints 2020, 2020040517 (doi: 10.20944/preprints202004.0517.v2). Yarlagadda, S.; Kar, S. Dominant Factors Determining Differences of COVID-19 Fatalities Between India and Other Large-Population Regions. Preprints 2020, 2020040517 (doi: 10.20944/preprints202004.0517.v2).

Abstract

We analyze the Covid-19 mortality scenario in India and compare it with those in other large-population regions such as Asia-excluding-China, Africa, European Union, South America, and USA. We compare existing fatality data and offer an interpretation for low fatality based on immunity due to endemic malaria and TB. We identify the hot climate in the past summer as a possible cause for low death count in southern-hemisphere countries without endemic malaria and TB. We also make India-specific observations for easing the lockdown and estimations for the time required to attain herd immunity. Whatever optimism we present should be viewed as a guarded optimism. There should not be room for complacency.

Subject Areas

Covid-19; Indian scenario; inherent immunity; hot climate; herd immunity

Comments (1)

Comment 1
Received: 5 July 2020
Commenter: Sudhakar Yarlagadda
Commenter's Conflict of Interests: Author
Comment: More recent data (up to June 24) has been used. An expanded version of the paper with more references
is presented.
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