Research output: Contribution to journal › Article › peer-review
Эпидемическая модель малярии без вакцинации и при ее наличии. Ч. 1. Модель малярии без вакцинации. / Ndiaye, S. M.; Parilina, E. M.
In: Vestnik Sankt-Peterburgskogo Universiteta, Prikladnaya Matematika, Informatika, Protsessy Upravleniya, Vol. 18, No. 2, 2022, p. 263-277.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Эпидемическая модель малярии без вакцинации и при ее наличии. Ч. 1. Модель малярии без вакцинации
AU - Ndiaye, S. M.
AU - Parilina, E. M.
N1 - Publisher Copyright: © 2022 Saint Petersburg State University. All rights reserved.
PY - 2022
Y1 - 2022
N2 - We propose a mathematical model of the malaria epidemic in the human population (host), where the transmission of the disease is produced by a vector population (mosquito) known as the malaria mosquito. The malaria epidemic model is defined by a system of ordinary differential equations. The host population at any time is divided into four sub-populations: susceptible, exposed, infectious, recovered. Sufficient conditions for stability of equilibrium without disease and endemic equilibrium are obtained using the Lyapunov's function theory. We define the reproductive number characterizing the level of disease spreading in the human population. Numerical modeling is made to study the influence of parameters on the spread of vector-borne disease and to illustrate theoretical results, as well as to analyze possible behavioral scenarios.
AB - We propose a mathematical model of the malaria epidemic in the human population (host), where the transmission of the disease is produced by a vector population (mosquito) known as the malaria mosquito. The malaria epidemic model is defined by a system of ordinary differential equations. The host population at any time is divided into four sub-populations: susceptible, exposed, infectious, recovered. Sufficient conditions for stability of equilibrium without disease and endemic equilibrium are obtained using the Lyapunov's function theory. We define the reproductive number characterizing the level of disease spreading in the human population. Numerical modeling is made to study the influence of parameters on the spread of vector-borne disease and to illustrate theoretical results, as well as to analyze possible behavioral scenarios.
KW - endemic equilibrium
KW - epidemic model
KW - human population
KW - malaria
KW - modification epidemic SEIR model
KW - reproductive number
KW - sub-populations
UR - http://www.scopus.com/inward/record.url?scp=85139009525&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/c48e41ab-947a-3763-8465-62db33b43f72/
U2 - 10.21638/11701/SPBU10.2022.207
DO - 10.21638/11701/SPBU10.2022.207
M3 - статья
AN - SCOPUS:85139009525
VL - 18
SP - 263
EP - 277
JO - ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. ПРИКЛАДНАЯ МАТЕМАТИКА. ИНФОРМАТИКА. ПРОЦЕССЫ УПРАВЛЕНИЯ
JF - ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. ПРИКЛАДНАЯ МАТЕМАТИКА. ИНФОРМАТИКА. ПРОЦЕССЫ УПРАВЛЕНИЯ
SN - 1811-9905
IS - 2
ER -
ID: 100063489