Modeling and transmission dynamics of Zika virus through efficient numerical method

被引:6
作者
Alfwzan, Wafa F. [1 ]
Raza, Ali [2 ,3 ,4 ]
Martin-Vaquero, Jesus [5 ]
Baleanu, Dumitru [2 ,6 ]
Rafiq, Muhammad [2 ,7 ]
Ahmed, Nauman [8 ]
Iqbal, Zafar [8 ]
机构
[1] Princess Nourah Bint Abdulrahman Univ, Dept Math Sci, Coll Sci, POB 84428, Riyadh 11671, Saudi Arabia
[2] Lebanese Amer Univ, Dept Comp Sci & Math, Beirut, Lebanon
[3] Govt Punjab, Higher Educ Dept, Govt Maulana Zafar Ali Khan Grad Coll Wazirabad, Dept Math, Lahore 54000, Pakistan
[4] Univ Chenab, Dept Phys Sci, Gujranwala 50700, Gujrat, Pakistan
[5] Univ Salamanca, Inst Fundamental Phys & Math, Dept Appl Math, Salamanca 37008, Spain
[6] Inst Space Sci, Magurele 077125, Romania
[7] Univ Cent Punjab, Fac Sci & Technol, Dept Math, Lahore 54000, Pakistan
[8] Univ Lahore, Dept Math & Stat, Lahore 54590, Pakistan
关键词
MATHEMATICAL-MODEL; DISEASE;
D O I
10.1063/5.0168945
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Zika virus infection is a vastly transmitted disease among humans. It was carried worldwide by international travelers. In 2016, Zika virus infection was present in more than 20 countries and territories in America. Thousands of cases were diagnosed in Cabo Verde, western Africa. Fifty-seven regions suffered from Zika virus in 2020, and the World Health Organization reported more than one hundred thousand cases worldwide. In this work, the modeling and transmission dynamics of Zika virus are studied dynamically and numerically. Positivity, boundedness, reproduction number, equilibria, and local stability are part of the numerical analysis. New nonstandard numerical techniques are examined for the said model. The primary purpose is to maintain the continuous model's behavior and dynamical properties. The proposed nonstandard finite approximation is studied according to the consistency and local stability of the solutions. Some numerical examples clearly show the improvement of the new schemes compared to other well-known methods. (c) 2023 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页数:12
相关论文
共 33 条
[1]  
Adamu G., 2017, Journal of Applied Sciences & Environmental Management, V21, P615, DOI [10.4314/jasem.v21i4.1, 10.4314/jasem.v21i4.1]
[2]  
Agusto F B, 2017, Infect Dis Model, V2, P244, DOI [10.1016/j.idm.2017.05.003, 10.1016/j.idm.2017.05.003]
[3]   A non-standard computational method for stochastic anthrax epidemic model [J].
Alfwzan, Wafa F. ;
Abuasbe, Kinda ;
Raza, Ali ;
Rafiq, Muhammad ;
Awadalla, Muath ;
Almulla, Muna A. .
AIP ADVANCES, 2023, 13 (07)
[4]   Computational analysis of the coronavirus epidemic model involving nonlinear stochastic differential equations [J].
Alfwzan, Wafa F. F. ;
Abuasbeh, Kinda ;
Raza, Ali ;
Zeb, Zunair ;
Awadalla, Muath ;
Alfadhli, Norah .
AIP ADVANCES, 2023, 13 (08)
[5]   Mathematical modeling and numerical simulations of Zika in Colombia considering mutation [J].
Aranda L, Diego F. ;
Gonzalez-Parra, Gilberto ;
Benincasa, Tommaso .
MATHEMATICS AND COMPUTERS IN SIMULATION, 2019, 163 :1-18
[6]   A note on stability of Mackey Glass equations with two delays [J].
Berezansky, Leonid ;
Braverman, Elena .
JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 2017, 450 (02) :1208-1228
[7]   Mathematical model of zika virus dynamics with vector control and sensitivity analysis [J].
Biswas, Sudhanshu Kumar ;
Ghosh, Uttam ;
Sarkar, Susmita .
INFECTIOUS DISEASE MODELLING, 2020, 5 :23-41
[8]  
Bonyah E., 2016, Asian Pacific Journal of Tropical Disease, V6, P673, DOI [10.1016/s2222-1808(16)61108-8, 10.1016/S2222-1808(16)61108-8]
[9]   A theoretical model for Zika virus transmission [J].
Bonyah, Ebenezer ;
Khan, Muhammad Altaf ;
Okosun, K. O. ;
Islam, Saeed .
PLOS ONE, 2017, 12 (10)
[10]   Disentangling the role of virus infectiousness and awareness-based human behavior during the early phase of the COVID-19 pandemic in the European Union [J].
Capistran, Marcos A. ;
Infante, Juan-Antonio ;
Ramos, Angel M. ;
Rey, Jose M. .
APPLIED MATHEMATICAL MODELLING, 2023, 122 :187-199