Mathematical modeling of COVID-19 with partial comorbid subpopulations and two isolation treatments in Indonesia

Muhammad Abdurrahman Rois; Cicik Alfiniyah

Mathematical modeling of COVID-19 with partial comorbid subpopulations and two isolation treatments in Indonesia

Muhammad Abdurrahman Rois
, Fatmawati
, Cicik Alfiniyah

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

In this study, we analyze a mathematical model of COVID-19 with comorbidity to understand the transmission dynamics of COVID-19 with other infectious diseases. Mathematical analyses were presented, including model validation, positivity and boundedness of solutions, equilibrium points, basic reproduction number, and stability of the equilibrium point. Moreover, this disease is endemic in Indonesia, with the obtained basic reproduction number R₀ = 1.57.

Original language	English
Pages (from-to)	233-242
Number of pages	10
Journal	International Journal of Mathematics and Computer Science
Volume	18
Issue number	2
Publication status	Published - 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

COVID-19
basic reproduction number
comorbid subpopulations
stability

Cite this

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title = "Mathematical modeling of COVID-19 with partial comorbid subpopulations and two isolation treatments in Indonesia",

abstract = "In this study, we analyze a mathematical model of COVID-19 with comorbidity to understand the transmission dynamics of COVID-19 with other infectious diseases. Mathematical analyses were presented, including model validation, positivity and boundedness of solutions, equilibrium points, basic reproduction number, and stability of the equilibrium point. Moreover, this disease is endemic in Indonesia, with the obtained basic reproduction number R0 = 1.57.",

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author = "Rois, \{Muhammad Abdurrahman\} and Fatmawati and Cicik Alfiniyah",

year = "2023",

language = "English",

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journal = "International Journal of Mathematics and Computer Science",

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publisher = "Badih/Ghusayni, Ed. \& Pub.",

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TY - JOUR

T1 - Mathematical modeling of COVID-19 with partial comorbid subpopulations and two isolation treatments in Indonesia

AU - Rois, Muhammad Abdurrahman

AU - Fatmawati,

AU - Alfiniyah, Cicik

PY - 2023

Y1 - 2023

N2 - In this study, we analyze a mathematical model of COVID-19 with comorbidity to understand the transmission dynamics of COVID-19 with other infectious diseases. Mathematical analyses were presented, including model validation, positivity and boundedness of solutions, equilibrium points, basic reproduction number, and stability of the equilibrium point. Moreover, this disease is endemic in Indonesia, with the obtained basic reproduction number R0 = 1.57.

AB - In this study, we analyze a mathematical model of COVID-19 with comorbidity to understand the transmission dynamics of COVID-19 with other infectious diseases. Mathematical analyses were presented, including model validation, positivity and boundedness of solutions, equilibrium points, basic reproduction number, and stability of the equilibrium point. Moreover, this disease is endemic in Indonesia, with the obtained basic reproduction number R0 = 1.57.

KW - COVID-19

KW - basic reproduction number

KW - comorbid subpopulations

KW - stability

UR - https://www.scopus.com/pages/publications/85151272341

M3 - Article

AN - SCOPUS:85151272341

SN - 1814-0424

VL - 18

SP - 233

EP - 242

JO - International Journal of Mathematics and Computer Science

JF - International Journal of Mathematics and Computer Science

IS - 2

ER -

Mathematical modeling of COVID-19 with partial comorbid subpopulations and two isolation treatments in Indonesia

Abstract

UN SDGs

Keywords

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Cite this