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.
Authors
- Artak Khachatryan (ORCID: https://orcid.org/0000-0003-3888-2347)
- А. А. Сергеев (ORCID: https://orcid.org/0000-0001-8355-5551)
- Kh. Khachatryan
Institutions
- 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)
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
- Field-Weighted Citation Impact
- 0.00