DYNAMICAL BEHAVIOR AND SENSITIVITY ANALYSIS OF A DENGUE REINFECTION MODEL FOR VERTICAL TRANSMISSION INCORPORATING MULTIPLE CONTROL STRATEGIES

被引:3
作者
Kumar, R. Prem [1 ,2 ]
Mahapatra, G. S. [1 ]
Parshad, Rana D. [3 ]
Santra, P. K. [4 ]
机构
[1] Natl Inst Technol Puducherry, Dept Math, Karaikal 609609, India
[2] Avvaiyar Govt Coll Women, Dept Math, Pondicherry 609602, India
[3] Iowa State Univ, Dept Math, Ames, IA 50011 USA
[4] Moulana Abul Kalam Azad Univ Technol, Kolkata 700064, India
关键词
dengue virus; vertical transmission; reinfection; stability; sensitivity; bifurcation; EPIDEMIC MODEL; HOST MODEL; INFECTION; DISEASE; BIFURCATIONS; TEMPERATURE; TUBERCULOSIS; VACCINATION; SEROTYPES; FEVER;
D O I
10.28919/cmbn/8319
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The dynamics of dengue disease with reinfection and three control techniques are proposed in this research. The epidemic model includes a saturated incident function in virus transmission among humans. The vertical transmission of the virus in vectors and a reinfection scenario in the human population are added to the proposed dengue epidemic model. In relation to the basic reproduction number R-0, the existence and stability of the equilibrium points of the proposed epidemic model are studied. The equilibrium states of the epidemic model are examined for both local and global stability. For the basic reproduction number R-0, a sensitivity analysis is carried out in relation to various parameters. Bifurcation analysis is performed for the proposed model, and the bifurcation parameter is identified. In the proposed dengue epidemic model, we introduce three time-dependent controls: protection control, treatment control, and insecticide spray control. In the proposed model, a control problem is identified and analytically solved. The conditions for the optimal control strategies for the control problem are derived using Pontryagin's maximal principle. In order to demonstrate the effectiveness of the control measures, numerical simulations are used. Finally, suggestions for preventing the spread of the dengue virus are presented.
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页数:52
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共 72 条
[1]   Vaccination and vector control effect on dengue virus transmission dynamics: Modelling and simulation [J].
Abidemi, A. ;
Abd Aziz, M., I ;
Ahmad, R. .
CHAOS SOLITONS & FRACTALS, 2020, 133
[2]   Optimal control strategies for dengue fever spread in Johor, Malaysia [J].
Abidemi, Afeez ;
Aziz, Nur Arina Bazilah .
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2020, 196
[3]   Numerical solution of hybrid mathematical model of dengue transmission with relapse and memory via Adam-Bashforth-Moulton predictor-corrector scheme [J].
Agarwal, Praveen ;
Singh, Ram ;
ul Rehman, Attiq .
CHAOS SOLITONS & FRACTALS, 2021, 143
[4]   The role of seasonality and import in a minimalistic multi-strain dengue model capturing differences between primary and secondary infections: Complex dynamics and its implications for data analysis [J].
Aguiar, Maira ;
Ballesteros, Sebastien ;
Kooi, Bob W. ;
Stollenwerk, Nico .
JOURNAL OF THEORETICAL BIOLOGY, 2011, 289 :181-196
[5]   Epidemiology of Dengue Fever: A Model with Temporary Cross-Immunity and Possible Secondary Infection Shows Bifurcations and Chaotic Behaviour in Wide Parameter Regions [J].
Aguiar, Maira ;
Kooi, Bob ;
Stollenwerk, Nico .
MATHEMATICAL MODELLING OF NATURAL PHENOMENA, 2008, 3 (04) :48-70
[6]   The effect of reinfection with the same serotype on dengue transmission dynamics [J].
Anggriani, N. ;
Tasman, H. ;
Ndii, M. Z. ;
Supriatna, A. K. ;
Soewono, E. ;
Siregar, E. .
APPLIED MATHEMATICS AND COMPUTATION, 2019, 349 :62-80
[7]   Mathematical modelling for the transmission of dengue: Symmetry and travelling wave analysis [J].
Bacani, Felipo ;
Dimas, Stylianos ;
Freire, Igor Leite ;
Maidana, Norberto Anibal ;
Torrisi, Mariano .
NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS, 2018, 41 :269-287
[8]   OPTIMAL CONTROL OF VECTOR-BORNE DISEASES: TREATMENT AND PREVENTION [J].
Blayneh, Kbenesh ;
Cao, Yanzhao ;
Kwon, Hee-Dae .
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B, 2009, 11 (03) :587-611
[9]   Modelling the Host Immune Response to Mature and Immature Dengue Viruses [J].
Borisov, Milen ;
Dimitriu, Gabriel ;
Rashkov, Peter .
BULLETIN OF MATHEMATICAL BIOLOGY, 2019, 81 (12) :4951-4976
[10]   Personal protective strategies for dengue disease: Simulations in two coexisting virus serotypes scenarios [J].
Brito da Cruz, Artur M. C. ;
Rodrigues, Helena Sofia .
MATHEMATICS AND COMPUTERS IN SIMULATION, 2021, 188 :254-267