A SEIR Epidemic Model of Whooping Cough-Like Infections and Its Dynamically Consistent Approximation

被引:5
作者
Alqarni, M. M. [1 ]
Nasir, Arooj [2 ,3 ]
Alyami, Maryam Ahmed [4 ]
Raza, Ali [5 ]
Awrejcewicz, Jan [6 ]
Rafiq, Muhammad [7 ]
Ahmed, Nauman [8 ]
Shaikh, Tahira Sumbal [9 ]
Mahmoud, Emad E. [10 ]
机构
[1] King Khalid Univ, Coll Sci, Dept Math, Abha 61413, Saudi Arabia
[2] Baqai Med Univ, Karachi 75340, Pakistan
[3] Shalamar Med & Dent Coll, Lahore 54000, Pakistan
[4] Univ Jeddah, Fac Sci, Dept Math, Jeddah, Saudi Arabia
[5] Govt Maulana Zafar Ali Khan Grad Coll Wazirabad, Dept Math, Punjab Higher Educ Dept PHED, Lahore 54000, Pakistan
[6] Lodz Univ Technol, Dept Automat Biomech & Mechatron, 1-15 Stefanowskiego St, PL-90924 Lodz, Poland
[7] Univ Cent Punjab, Fac Sci & Technol, Dept Math, Lahore 54000, Pakistan
[8] Univ Lahore, Dept Math & Stat, Lahore 54590, Pakistan
[9] Lahore Coll Women Univ, Dept Math, Lahore 54590, Pakistan
[10] Taif Univ, Coll Sci, Dept Math, POB 11099, Taif 21944, Saudi Arabia
关键词
Epidemiology;
D O I
10.1155/2022/3642444
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Whooping cough is a highly transmitted disease around the world. According to the World Health Organization (WHO), 0.15 million cases had reported globally in 2018. Most of the Asian and African states are infected regions. Through the study, we investigated the whole population into the four classes susceptible (S), exposed (E), infected (I), and vaccinated or recovered (R). The transmission dynamics of whooping cough disease are studied analytically and numerically. Analytical analyses are positivity, boundedness, reproduction number, equilibria, and local and global stabilities. In numerical analysis, we developed an implicit numerical integration scheme consistent with the biological problem's properties. The analysis of the implicit method for the said model is dynamically consistent, positive, and bounded. Furthermore, an implicit numerical integration scheme is suitable for studying a particular epidemic model such as the whooping cough disease.
引用
收藏
页数:13
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共 28 条
  • [1] Ali MA, 2019, PUNJAB UNIV J MATH, V51, P79
  • [2] Althouse BM, 2019, ECOL EVOL INFECT DIS, P211, DOI 10.1093/oso/9780198811879.003.0013
  • [3] Ameri Kimia, 2019, AMIA Jt Summits Transl Sci Proc, V2019, P388
  • [4] A nonstandard numerical scheme of predictor-corrector type for epidemic models
    Arenas, Abraham J.
    Gonzalez-Parra, Gilberto
    Chen-Charpentier, Benito M.
    [J]. COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2010, 59 (12) : 3740 - 3749
  • [5] On the Construction of Some Deterministic and Stochastic Non-Local SIR Models
    Ascione, Giacomo
    [J]. MATHEMATICS, 2020, 8 (12) : 1 - 29
  • [6] Bifurcation analysis for a double age dependence epidemic model with two delays
    Bentout, Soufiane
    Djilali, Salih
    Touaoula, Tarik Mohammed
    Zeb, Anwar
    Atangana, Abdon
    [J]. NONLINEAR DYNAMICS, 2022, 108 (02) : 1821 - 1835
  • [7] Species interactions may help explain the erratic periodicity of whooping cough dynamics
    Bhattacharyya, Samit
    Ferrari, Matthew J.
    Bjornstad, Ottar N.
    [J]. EPIDEMICS, 2018, 23 : 64 - 70
  • [8] Stochasticity in staged models of epidemics: quantifying the dynamics of whooping cough
    Black, Andrew J.
    McKane, Alan J.
    [J]. JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2010, 7 (49) : 1219 - 1227
  • [9] Approximating the asymptomatic infectious cases of the COVID-19 disease in Algeria and India using a mathematical model
    Djilali, Salih
    Bentout, Soufiane
    Kumar, Sunil
    Touaoula, Tarik Mohammed
    [J]. INTERNATIONAL JOURNAL OF MODELING SIMULATION AND SCIENTIFIC COMPUTING, 2022, 13 (04)
  • [10] Modeling the Impact of Unreported Cases of the COVID-19 in the North African Countries
    Djilali, Salih
    Benahmadi, Lahbib
    Tridane, Abdessamad
    Niri, Khadija
    [J]. BIOLOGY-BASEL, 2020, 9 (11): : 1 - 18