Preprint Concept Paper Version 1 Preserved in Portico This version is not peer-reviewed

Understanding the Dynamics of Pathogenic Infection in a Population

Version 1 : Received: 26 May 2021 / Approved: 27 May 2021 / Online: 27 May 2021 (10:33:34 CEST)

How to cite: Banerjee, S. Understanding the Dynamics of Pathogenic Infection in a Population. Preprints 2021, 2021050664 (doi: 10.20944/preprints202105.0664.v1). Banerjee, S. Understanding the Dynamics of Pathogenic Infection in a Population. Preprints 2021, 2021050664 (doi: 10.20944/preprints202105.0664.v1).

Abstract

In this article we have presented a new perception of herd immunity threshold (HIT) which considers that only a “band of population” are susceptible to any pathogenic infection. This is termed as the “effective herd immunity threshold” (EHIT) and the progression of the disease (caused by this pathogenic infection) is mainly determined by this EHIT value. We have argued here that this EHIT value (considering the immunity band picture in the population) will be substantially lower than the estimated canonical HIT values obtained from various existing models. We propose that the actual prediction of the disease progression should now be calculated using the EHIT values.

Subject Areas

Pathogen; Herd Immunity Threshold; R-naught; Infection dynamics

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.