Mathematical model of the spread of a pandemic like COVID-19

Using the example of the infectious disease called COVID-19, a mathematical model of the spread of a pandemic is considered. The virus that causes this disease emerged at the end of 2019 and spread to most countries around the world over the next year. A mathematical model of the emerging pandemic, called the SEIR-model (from the English words <italic>susceptible</italic>, <italic>exposed</italic>, <italic>infected</italic>, <italic>recovered</italic>), is described by a system of four ordinary dynamical equations given in §1. The indicated system is reduced to a nonlinear integral equation of Hammerstein–Volterra type with an operator that does not have the property of monotonicity. In §3, we prove a theorem on the existence and uniqueness of a non-negative, bounded and summable solution of this system. Based on real data on the COVID-19 disease in France and Italy, given in §2, numerical calculations are performed showing the absence of a second wave for the obtained solution.

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Publication Details

Journal
Transactions of the Moscow Mathematical Society
Published
2024-09-16
DOI
https://doi.org/10.1090/mosc/334
Primary Topic
COVID-19 epidemiological studies
Type
article
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article

Mathematical model of the spread of a pandemic like COVID-19

Artak Khachatryan, А. А. Сергеев, Kh. Khachatryan
Transactions of the Moscow Mathematical Society
COVID-19 epidemiological studies
article

Mathematical model of the spread of a pandemic like COVID-19

Artak Khachatryan, А. А. Сергеев, Kh. Khachatryan
article en

Abstract

Using the example of the infectious disease called COVID-19, a mathematical model of the spread of a pandemic is considered. The virus that causes this disease emerged at the end of 2019 and spread to most countries around the world over the next year. A mathematical model of the emerging pandemic, called the SEIR-model (from the English words <italic>susceptible</italic>, <italic>exposed</italic>, <italic>infected</italic>, <italic>recovered</italic>), is described by a system of four ordinary dynamical equations given in §1. The indicated system is reduced to a nonlinear integral equation of Hammerstein–Volterra type with an operator that does not have the property of monotonicity. In §3, we prove a theorem on the existence and uniqueness of a non-negative, bounded and summable solution of this system. Based on real data on the COVID-19 disease in France and Italy, given in §2, numerical calculations are performed showing the absence of a second wave for the obtained solution.

Transactions of the Moscow Mathematical Society
Russian Academy of Sciences (RU), Yerevan State University (AM), Armenian National Agrarian University (AM), Steklov Mathematical Institute (RU), National Academy of Sciences of Armenia (AM)
Openalex Percentile: Top 82%
COVID-19 epidemiological studies
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Mathematical model of the spread of a pandemic like COVID-19 — Artak Khachatryan, А. А. Сергеев, et al. · Transactions of the Moscow Mathematical Society (2024) | TGRS Research Map | TGRS