Published May 2021 | Version v1
Journal article

Analysis and optimal control of a mathematical modeling of the spread of African swine fever virus with a case study of South Korea and cost-effectiveness

  • 1. LAMS, Department of Mathematics and Computer Science, Faculty of Sciences Ben M'Sik, Hassan II University of Casablanca (Morocco)
  • 2. Laboratory of Dynamical Systems, Mathematical Engineering Team (INMA), Department of Mathematics, Faculty of Sciences El Jadida, Chouaib Doukkali University, El Jadida (Morocco)

Description

In this work, we study a mathematical model describing the dynamics of the transmission of African Swine Fever Virus (ASFV) between pigs on the one hand and ticks on the other hand. The aim is to Protecting pigs against the African swine fever virus. We analysis the mathematical model by using Routh–Hurwitz criteria, the local stability of ASFV-free equilibrium and ASFV equilibrium are obtained. We also study the sensitivity analysis of the model parameters to know the parameters that have a high impact on the reproduction number R0. The aims of this paper is to reduce the number of infected pigs and ticks. By proposing several strategies, including the iron fencing to isolate uninfected pigs, spraying pesticides to fight ticks that transmit the virus, and getting rid of the infected and suspected pigs. Pontryagin's maximal principle is used to describe the optimal controls and the optimal system is resolved in an iterative manner. Numerical simulations are performed using Matlab. The increased cost-effectiveness ratio was computed to investigate the cost effectiveness of all possible combinations of the three controls measures. Using a cost-effectiveness analysis, we showed that controlling the protection of susceptible pigs, to prevent contact between infected pigs and infected ticks on one hand and susceptible pigs on the other hand, it is the most cost-effective strategy for disease control.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2021.110867

Additional details

Identifiers

DOI
10.1016/j.chaos.2021.110867;
PII
S0960077921002204;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
146
Journal Page Range
vp.
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54071022
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
COMPUTERIZED SIMULATION; COST EFFECTIVENESS ANALYSIS; ITERATIVE METHODS; MATHEMATICAL MODELS; SENSITIVITY ANALYSIS
Descriptors DEC
CALCULATION METHODS; ECONOMIC ANALYSIS; ECONOMICS; SIMULATION

Optional Information

Copyright
Copyright (c) 2021 Elsevier Ltd. All rights reserved.