***New deterministic model for the control of epidemic

New deterministic model for the control of epidemic

 

 

Dr. Fattash Imad

Damascus University _FMEE

fattish.i@list.ru

 

 

 

 

مؤلفون / Authors

الملخص / Abstract

الكلمات المفتاحية / Keywords

أقسام الملف

Introduction

General description of the proposed model

Model scheme
References

 

 

 

 

 

Abstract

 

We present in this paper the development of the deterministic models: SIR and SEIRD by increasing the number of variables to six (S, E, I, D, R, A) and forming a new ODEs that describes the epidemic with a new mathematical model SEIDRA that monitors the various stages of the epidemic and describes its movement and behavior in the study population, taking into account the above: Studying the change in the movement of deaths, disease carriers and infected people as a result of people moving from one area to the study population area.

 

 

 

 

Keywords

 

 SIR, SEIRD, modeling, epidemiology, differential equations

 

 

Introduction

 

 

 

 

The long history of epidemics in human societies dates back to ancient times.

Many of them were recorded in prehistoric periods and through various stages, and the matter is not limited to what we have experienced in this period of time related to the emergence of epidemics such as the Covid19 and Ebola ..., but rather that has always been associated with human activity throughout the ages.

The interest of medicine in how to control these epidemics was to mobilize the rest of the sciences to contribute to preserving human lives, and mathematics and mathematicians had an important role in that. Daniel Bernoulli (17th century) had the first serious participation in the work on characterizing such cases, and many mathematicians followed him later, up to the present day, where many statistical, probabilistic, and analytical models were established, and many computer models were built to deal with these issues in service of the civilized path in evolution, progress and the preservation of human life. This has emerged during the Covid19 pandemic through the great works and researches that accompanied the new epidemic. The spread of an epidemic disease depends on both the amount of contact between individuals and the possibility of an infected person transmitting the disease to another person

 

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General description of the proposed model

 

 

 

Model scheme

 

 

 

 

Fig(1): Scheme of SEIDRA model.

 

 

 

 

 

 

are parameters of SEIDRA model are defined in Table (1).

 

 

 

 

 

 

 

References

 

 

 

 

 

1-      Imad Fattash.(2023). Relationship between medicine and mathematics: The Control of Epidemics. CMA: Alfurat Univ. ,13-14 march 2023, pp.17.

 

 

 

 

 

2-      Sharmistha Mishra.(2011).The ABC of terms used in mathematical models of infectious diseases. J Epidemiol Community Health, 2011, pp.65-87.

 

3-      Ross-Beckley.(2013).Modeling epidemics with differential equations. Tennessee State University, 2 Philander Smith College.21 June 2013

 

4-      Anderson Luiz Pena da Costa.(2021). Mathematical Modeling of the Infectious Diseases: Key Concepts and Applications. J Infect Dis Epidemiol 2,2021, pp. 7-209.

 

5-      Constantinos I.Siettos Lucia Russo.(2013). Mathematical modeling of infectious disease dynamics. Virulence 4:4, Landes Bioscience,15 May 2013, pp.295-306.

 

6-      Howard Weiss .(2013).The SIR model and the Foundations of Public Health. Volume 2013, tribal no. 3, pp.17-20.

 

7-      Anis Elaoud and others.(2021).A SIR‑Poisson Model for COVID‑19: Evolution and Transmission. Arabian Journal for Science and Engineering,  46,2021, pp.93-102.

 

 

8-      Bektemesov Zh.  and others.( 2021). On Numerical Modeling of The Inverse Epidemiology Problem.            KazYPY,Series:Physics-Mathematics, №3(75),2021,pp.7-14.   

 

 

 

 

9-      Eremeeva N.I. (2020). Building a modification of the SEIRD model of epidemic spread that takes into account the features of COVID-19. Vestnik TvGU, Series: Applied Mathematics,№4, 2020,pp.14-27.