Numerical Simulations of Vaccination and Wolbachia on Dengue Transmission Dynamics in the Nonlinear Model

Junsawang, Prem; Zuhra, Samina; Sabir, Zulqurnain; Raja, Muhammad Asif Zahoor; Shoaib, Mohammed; Botmart, Thongchai; Weera, Wajaree

doi:10.1109/access.2022.3159813

Cited by 19 publications

(4 citation statements)

References 61 publications

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“…Recently, ANN-based solvers have been exploited for the numerical treatment of the COVID system with its variants [30][31][32][33][34][35][36][37][38][39], HIV infection system [40][41][42], Dange fever [2,[43][44][45][46], hepatitis virus system [47], influenza virus [48][49][50], and HBV virus [7]. The majority of these ANN-based modeling uses log-sigmoid, tan-sigmoid, and radial basis functions as an activation function, however, there is a need to explore other activation functions like the Mexican hat wavelet which has theoretically good approximation capabilities.…”

Section: Introductionmentioning

confidence: 99%

Swarm-optimized numerical investigation of Dengue Fever Model

Riaz,

Ullah,

Alasiry

et al. 2024

Preprint

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The current study aims to present a swarm-optimized technique for the numerical treatment of dengue fever non-linear model. The model is composed of the coupled nonlinear system comprising the susceptible, infected, and recovered compartments. The system is transformed into an unsupervised single layer feed-forward artificial neural network with a Mexican hat wavelet activation function in the hidden layer. The unknowns of the neural network is optimized with particle swarm optimization as an efficient global search aided by the effective local search technique based on sequential quadratic programming. The presented results are compared with state of art Runge-Kutta method and other modern reported techniques on various performance indicators like absolute error, mean average deviation, global absolute error, global mean average deviation, convergence, and computational complexity. Comprehensive Monte Carlo simulations and their statistical analysis are presented to ensure accuracy, consistency in convergence, and computational complexity in terms of execution time. It is observed that the proposed scheme is accurate, reliable, convergent, and computationally viable in treating the nonlinear coupled system under consideration.

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Section: Introductionmentioning

confidence: 99%

Swarm-optimized numerical investigation of Dengue Fever Model

Riaz,

Ullah,

Alasiry

et al. 2024

Preprint

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“…The solution of the NSPD-TOM is provided by applying the features of artificial neural networks, while the optimization is performed based on the global swarming procedure and local active set method (ASM). In recent decades, the artificial intelligence procedures have been extensively applied in different applications, like dynamical Leptospirosis system [26], Falkner-Skan based rotating transport flow [27], food chain mathematical model [28], viscoelastic transport axisymmetric system [29], eye surgery model [30], dengue transmission model [31], pandemic coronavirus mathematical model [32], SIQ differential system [33], random matrix theory [34], dengue fever dynamical system [35], singular systems [36], Bagley-Torvik system, [37] and Rossler chaotic system [38]. These applications motivated the authors to design a computational structure using the artificial neural networks along with the optimizations of global swarming procedure and local ASM to present the numerical solutions of NSPD-TOM.…”

Section: Introductionmentioning

confidence: 99%

Swarming procedures to solve the novel perturbed delay third order singular model

2023

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The current study shows a novel singular perturbed delay third order model (NSPD-TOM) with its two categories using the conventional Lane-Emden mathematical model. The comprehensive detail of perturbed, shape/delay and singular terms are also provided for both categories of NSPD-TOM. The numerical performances of NSPD-TOM are presented through the procedures of artificial neural networks with the optimizations of global swarming procedure and local refinements of active set method. The NSPD-TOM is numerically performed based on the accuracy, substantiation, and authenticity through the comparison of achieved and true results. Moreover, the performance of the stochastic procedure is further authenticated by applying statistical operators to solve the NSPD-TOM.

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“…Ndii et al [15] studied the effects of using vaccination and Wolbachia simultaneously and found that the use of the vaccine can potentially reduce the number of dengue infections if the vaccine efficacy is high, otherwise the use of Wolbachia is sufficient [15]. Junsawang [21] performed numerical simulations of a combination of the use of Wolbachia and the vaccine, where the focus was on numerical properties of the model.…”

Section: Introductionmentioning

confidence: 99%

Estimating the Time Reproduction Number in Kupang City Indonesia, 2016–2020, and Assessing the Effects of Vaccination and Different Wolbachia Strains on Dengue Transmission Dynamics

et al. 2022

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The use of a vaccine and Wolbachia bacterium have been proposed as new strategies against dengue. However, the performance of Wolbachia in reducing dengue incidence may depend on the Wolbachia strains. Therefore, in this paper, the performance of two Wolbachia strains which are WMel and WAu, in combination with the vaccine, has been assessed by using an age-dependent mathematical model. An effective reproduction number has been calculated using the Extended Kalman Filter (EKF) algorithm. The results revealed that the time reproduction number varies overtime with the highest one being around 2.75. Moreover, it has also found that use of the vaccine and Wolbachia possibly leads to dengue elimination. Furthermore, vaccination on one group only reduces dengue incidence in that group but dengue infection in the other group is still high. Furthermore, the performance of the WAu strain is better than the WMel strain in reducing dengue incidence. However, both strains can still be used for dengue elimination strategies depending on the level of loss of Wolbachia infections in both strains.

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Numerical Simulations of Vaccination and Wolbachia on Dengue Transmission Dynamics in the Nonlinear Model

Cited by 19 publications

References 61 publications

Swarm-optimized numerical investigation of Dengue Fever Model

Swarm-optimized numerical investigation of Dengue Fever Model

Swarming procedures to solve the novel perturbed delay third order singular model

Estimating the Time Reproduction Number in Kupang City Indonesia, 2016–2020, and Assessing the Effects of Vaccination and Different Wolbachia Strains on Dengue Transmission Dynamics

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