On stiff, fuzzy IRD-14 day average transmission model of COVID-19 pandemic disease

COVID-19, a new pandemic disease is becoming one of the major threats for surviving. Many new models are arrived to study the disease mathematically. Here we are introducing a new model in which instead of studying a day by day changes we are studying the average of 14 day transmission because its l...

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Main Authors: Prasantha Bharathi Dhandapani, Dumitru Baleanu, Jayakumar Thippan, Vinoth Sivakumar
Format: Article
Language:English
Published: AIMS Press 2020-11-01
Series:AIMS Bioengineering
Subjects:
Online Access:http://www.aimspress.com/article/10.3934/bioeng.2020018/fulltext.html
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spelling doaj-d1724e95fa3848e4abf6cfd0378359592020-11-26T01:46:28ZengAIMS PressAIMS Bioengineering2375-14872375-14952020-11-017420822310.3934/bioeng.2020018On stiff, fuzzy IRD-14 day average transmission model of COVID-19 pandemic diseasePrasantha Bharathi Dhandapani0Dumitru Baleanu1Jayakumar Thippan2Vinoth Sivakumar31 Department of Mathematics, Sri Ramakrishna Mission Vidyalaya College of Arts and Science, Coimbatore-641 020, Tamilnadu, India2 Department of Mathematics, Cankaya University, Ankara, 06530, Turkey 3 Institute of Space Sciences, Magurele-Bucharest, Romania1 Department of Mathematics, Sri Ramakrishna Mission Vidyalaya College of Arts and Science, Coimbatore-641 020, Tamilnadu, India1 Department of Mathematics, Sri Ramakrishna Mission Vidyalaya College of Arts and Science, Coimbatore-641 020, Tamilnadu, IndiaCOVID-19, a new pandemic disease is becoming one of the major threats for surviving. Many new models are arrived to study the disease mathematically. Here we are introducing a new model in which instead of studying a day by day changes we are studying the average of 14 day transmission because its life or the patients incubation period is about an average of 14 days. Also, since this is pandemic, and being not aware of susceptible population among the world’s population, we considered the model without S-susceptible population. i.e., IRD- Infectious, Recovered, Death- model. In this new model, we are also introducing a new method of calculating new number called N 0 -average transmission number. This is used to study the average spread of infection instead of basic reproduction number R 0 . The motto of this paper is not to predict the daily cases but to control the current spread of disease and deaths by identifying the threshold number, exceeding which will increase the spread of infection and number of deaths due to this pandemic. Also if the 14 day average IRD-populations are maintained under this threshold number, will definitely control this pandemic disease globally. Stability analysis and test for stiff system of differential equations are studied. Our main aim is to present the medical world, a threshold population of infected, recovered and death cases for every average of 14 days to quickly overcome this pandemic disease COVID-19.http://www.aimspress.com/article/10.3934/bioeng.2020018/fulltext.htmlcovid-19equilibrium pointsstability analysisbasic reproduction numberaverage transmission numberird-modelfuzzy differential equationsstiff differential equationsthreshold population
collection DOAJ
language English
format Article
sources DOAJ
author Prasantha Bharathi Dhandapani
Dumitru Baleanu
Jayakumar Thippan
Vinoth Sivakumar
spellingShingle Prasantha Bharathi Dhandapani
Dumitru Baleanu
Jayakumar Thippan
Vinoth Sivakumar
On stiff, fuzzy IRD-14 day average transmission model of COVID-19 pandemic disease
AIMS Bioengineering
covid-19
equilibrium points
stability analysis
basic reproduction number
average transmission number
ird-model
fuzzy differential equations
stiff differential equations
threshold population
author_facet Prasantha Bharathi Dhandapani
Dumitru Baleanu
Jayakumar Thippan
Vinoth Sivakumar
author_sort Prasantha Bharathi Dhandapani
title On stiff, fuzzy IRD-14 day average transmission model of COVID-19 pandemic disease
title_short On stiff, fuzzy IRD-14 day average transmission model of COVID-19 pandemic disease
title_full On stiff, fuzzy IRD-14 day average transmission model of COVID-19 pandemic disease
title_fullStr On stiff, fuzzy IRD-14 day average transmission model of COVID-19 pandemic disease
title_full_unstemmed On stiff, fuzzy IRD-14 day average transmission model of COVID-19 pandemic disease
title_sort on stiff, fuzzy ird-14 day average transmission model of covid-19 pandemic disease
publisher AIMS Press
series AIMS Bioengineering
issn 2375-1487
2375-1495
publishDate 2020-11-01
description COVID-19, a new pandemic disease is becoming one of the major threats for surviving. Many new models are arrived to study the disease mathematically. Here we are introducing a new model in which instead of studying a day by day changes we are studying the average of 14 day transmission because its life or the patients incubation period is about an average of 14 days. Also, since this is pandemic, and being not aware of susceptible population among the world’s population, we considered the model without S-susceptible population. i.e., IRD- Infectious, Recovered, Death- model. In this new model, we are also introducing a new method of calculating new number called N 0 -average transmission number. This is used to study the average spread of infection instead of basic reproduction number R 0 . The motto of this paper is not to predict the daily cases but to control the current spread of disease and deaths by identifying the threshold number, exceeding which will increase the spread of infection and number of deaths due to this pandemic. Also if the 14 day average IRD-populations are maintained under this threshold number, will definitely control this pandemic disease globally. Stability analysis and test for stiff system of differential equations are studied. Our main aim is to present the medical world, a threshold population of infected, recovered and death cases for every average of 14 days to quickly overcome this pandemic disease COVID-19.
topic covid-19
equilibrium points
stability analysis
basic reproduction number
average transmission number
ird-model
fuzzy differential equations
stiff differential equations
threshold population
url http://www.aimspress.com/article/10.3934/bioeng.2020018/fulltext.html
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