COVID-19 disease transmission model considering direct and indirect transmission

Dipo Aldila

doi:10.1051/e3sconf/202020212008

COVID-19 disease transmission model considering direct and indirect transmission

Dipo Aldila

Department of Mathematics

Research output: Contribution to journal › Conference article › peer-review

3 Citations (Scopus)

Abstract

A mathematical model for understanding the COVID-19 transmission mechanism proposed in this article considering two important factors: the path of transmission (direct-indirect) and human awareness. Mathematical model constructed using a four-dimensional ordinary differential equation. We find that the Covid-19 free state is locally asymptotically stable if the basic reproduction number is less than one, and unstable otherwise. Unique endemic states occur when the basic reproduction number is larger than one. From sensitivity analysis on the basic reproduction number, we find that the media campaign succeeds in suppressing the endemicity of COVID-19. Some numerical experiments conducted to show the dynamic of our model respect to the variation of parameters value.

Original language	English
Article number	12008
Journal	E3S Web of Conferences
Volume	202
DOIs	https://doi.org/10.1051/e3sconf/202020212008
Publication status	Published - 10 Nov 2020
Event	5th International Conference on Energy, Environmental and Information System, ICENIS 2020 - Semarang, Indonesia Duration: 12 Aug 2020 → 13 Aug 2020

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title = "COVID-19 disease transmission model considering direct and indirect transmission",

abstract = "A mathematical model for understanding the COVID-19 transmission mechanism proposed in this article considering two important factors: the path of transmission (direct-indirect) and human awareness. Mathematical model constructed using a four-dimensional ordinary differential equation. We find that the Covid-19 free state is locally asymptotically stable if the basic reproduction number is less than one, and unstable otherwise. Unique endemic states occur when the basic reproduction number is larger than one. From sensitivity analysis on the basic reproduction number, we find that the media campaign succeeds in suppressing the endemicity of COVID-19. Some numerical experiments conducted to show the dynamic of our model respect to the variation of parameters value. ",

author = "Dipo Aldila",

note = "Publisher Copyright: {\textcopyright} The Authors, published by EDP Sciences, 2020. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 5th International Conference on Energy, Environmental and Information System, ICENIS 2020 ; Conference date: 12-08-2020 Through 13-08-2020",

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AB - A mathematical model for understanding the COVID-19 transmission mechanism proposed in this article considering two important factors: the path of transmission (direct-indirect) and human awareness. Mathematical model constructed using a four-dimensional ordinary differential equation. We find that the Covid-19 free state is locally asymptotically stable if the basic reproduction number is less than one, and unstable otherwise. Unique endemic states occur when the basic reproduction number is larger than one. From sensitivity analysis on the basic reproduction number, we find that the media campaign succeeds in suppressing the endemicity of COVID-19. Some numerical experiments conducted to show the dynamic of our model respect to the variation of parameters value.

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SN - 2555-0403

VL - 202

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M1 - 12008

T2 - 5th International Conference on Energy, Environmental and Information System, ICENIS 2020

Y2 - 12 August 2020 through 13 August 2020

ER -

COVID-19 disease transmission model considering direct and indirect transmission

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