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Article: COVID-19 pandemic models revisited with a new proposal: Plenty of epidemiological models outcast the simple population dynamics solution.

Paul, Ayan / Reja, Selim / Kundu, Sayani / Bhattacharya, Sabyasachi

Chaos, solitons, and fractals

2021  Volume 144, Page(s) 110697

Abstract: ... that plenty of epidemiological models outcast the simple population dynamics solution. Most of the future ... pandemic. We propose a simple population dynamics solution based on the incidence-fitness relationship ... predictions based on these epidemiological models are highly unreliable because of the complexity ...

Abstract We have put an effort to estimate the number of publications related to the modelling aspect of the corona pandemic through the web search with the corona associated keywords. The survey reveals that plenty of epidemiological models outcast the simple population dynamics solution. Most of the future predictions based on these epidemiological models are highly unreliable because of the complexity of the dynamical equations and the poor knowledge of realistic values of the model parameters. The incidence time series of top ten corona infected countries are erratic and sparse. But in comparison, the incidence and disease fitness relationships are uniform and concave upward in nature. These simple profiles with the acceleration curves have fundamental implications in understanding the instinctive dynamics of the corona pandemic. We propose a simple population dynamics solution based on the incidence-fitness relationship in predicting that a plateau or steady state of SARS-CoV-2 will be reached using the basic concept of geometry.
Language English
Publishing date 2021-01-19
Publishing country England
Document type Journal Article
ZDB-ID 2003919-0
ISSN 1873-2887 ; 0960-0779
ISSN (online) 1873-2887
ISSN 0960-0779
DOI 10.1016/j.chaos.2021.110697
Database MEDical Literature Analysis and Retrieval System OnLINE

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