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Fan R, Geritz SAH. Modelling and optimising healthcare interventions in a model with explicit within- and between-host dynamics. J Theor Biol 2022;554:111276. [PMID: 36126777 DOI: 10.1016/j.jtbi.2022.111276] [Reference Citation Analysis]
|
2 |
Shami L, Lazebnik T. Economic aspects of the detection of new strains in a multi-strain epidemiological–mathematical model. Chaos, Solitons & Fractals 2022;165:112823. [DOI: 10.1016/j.chaos.2022.112823] [Reference Citation Analysis]
|
3 |
Srivastava A, Sonu, Srivastava PK. Nonlinear dynamics of a SIRI model incorporating the impact of information and saturated treatment with optimal control. Eur Phys J Plus 2022;137. [DOI: 10.1140/epjp/s13360-022-03201-9] [Reference Citation Analysis]
|
4 |
Boujallal L, Elhia M. Set-Valued Control to COVID-19 Spread with Treatment and Limitation of Vaccination Resources. Iran J Sci Technol Trans Sci 2022;46:829-838. [DOI: 10.1007/s40995-022-01295-5] [Reference Citation Analysis]
|
5 |
Cui X, Xue D, Pan F. Dynamic analysis and optimal control for a fractional-order delayed SIR epidemic model with saturated treatment. Eur Phys J Plus 2022;137. [DOI: 10.1140/epjp/s13360-022-02810-8] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
6 |
Nur W, Trisilowati, Suryanto A, Kusumawinahyu WM. Optimal control problem and cost-effectiveness analysis of schistosomiasis model. THE 4TH INTERNATIONAL CONFERENCE ON NUCLEAR ENERGY TECHNOLOGIES AND SCIENCES (ICoNETS) 2021 2022. [DOI: 10.1063/5.0082984] [Reference Citation Analysis]
|
7 |
Sowndarrajan PT, Shangerganesh L, Debbouche A, Torres DFM. Optimal control of a heroin epidemic mathematical model. Optimization. [DOI: 10.1080/02331934.2021.2009823] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
|
8 |
Srivastav AK, Kumar A, Srivastava PK, Ghosh M. Modeling and optimal control of dengue disease with screening and information. Eur Phys J Plus 2021;136. [DOI: 10.1140/epjp/s13360-021-02164-7] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
|
9 |
Liu L, Jiang D, Hayat T. Dynamics of an SIR epidemic model with varying population sizes and regime switching in a two patch setting. Physica A: Statistical Mechanics and its Applications 2021;574:125992. [DOI: 10.1016/j.physa.2021.125992] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
|
10 |
Li X, Pan Y, Jiang S, Huang Q, Chen Z, Zhang M, Zhang Z. Locate vaccination stations considering travel distance, operational cost, and work schedule. Omega 2021;101:102236. [DOI: 10.1016/j.omega.2020.102236] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 3.5] [Reference Citation Analysis]
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Mandale R, Kumar A, Vamsi DKK, Srivastava PK. DYNAMICS OF AN INFECTIOUS DISEASE IN THE PRESENCE OF SATURATED MEDICAL TREATMENT OF HOLLING TYPE III AND SELF-PROTECTION. J Biol Syst 2021;29:245-89. [DOI: 10.1142/s0218339021400064] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
|
12 |
Luo X, Jin Z. A new insight into isolating the high-degree nodes in network to control infectious diseases. Communications in Nonlinear Science and Numerical Simulation 2020;91:105363. [DOI: 10.1016/j.cnsns.2020.105363] [Cited by in Crossref: 9] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
|
13 |
Charpentier A, Elie R, Laurière M, Tran VC, Augeraud E, Banerjee M, Dhersin J, d'Onofrio A, Lipniacki T, Petrovskii S, Tran C, Veber-delattre A, Vergu E, Volpert V. COVID-19 pandemic control: balancing detection policy and lockdown intervention under ICU sustainability. Math Model Nat Phenom 2020;15:57. [DOI: 10.1051/mmnp/2020045] [Cited by in Crossref: 18] [Cited by in F6Publishing: 18] [Article Influence: 6.0] [Reference Citation Analysis]
|
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Yadav A, Srivastava PK. The impact of information and saturated treatment with time delay in an infectious disease model. J Appl Math Comput 2021;66:277-305. [DOI: 10.1007/s12190-020-01436-2] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
|
15 |
González-parra G, Díaz-rodríguez M, Arenas AJ. Optimization of the Controls against the Spread of Zika Virus in Populations. Computation 2020;8:76. [DOI: 10.3390/computation8030076] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
|
16 |
Charpentier A, Elie R, Laurière M, Tran VC. COVID-19 pandemic control: balancing detection policy and lockdown intervention under ICU sustainability.. [DOI: 10.1101/2020.05.13.20100842] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 1.7] [Reference Citation Analysis]
|
17 |
Islam MAI, Biswas MHA. Optimal Control Strategy Applied to Dynamic Model of Drug Abuse Incident for Reducing Its Adverse Effects.. [DOI: 10.1101/2020.05.02.20088468] [Reference Citation Analysis]
|
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Kumar A, Srivastava PK, Dong Y, Takeuchi Y. Optimal control of infectious disease: Information-induced vaccination and limited treatment. Physica A: Statistical Mechanics and its Applications 2020;542:123196. [DOI: 10.1016/j.physa.2019.123196] [Cited by in Crossref: 12] [Cited by in F6Publishing: 14] [Article Influence: 4.0] [Reference Citation Analysis]
|
19 |
Aghajanzadeh O, Sharifi M, Falsafi A. Robust control strategy for HBV treatment: Considering parametric and nonparametric uncertainties. Control Applications for Biomedical Engineering Systems 2020. [DOI: 10.1016/b978-0-12-817461-6.00005-6] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
|
20 |
Egonmwan AO, Okuonghae D. Mathematical analysis of a tuberculosis model with imperfect vaccine. Int J Biomath 2019;12:1950073. [DOI: 10.1142/s1793524519500736] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 2.8] [Reference Citation Analysis]
|
21 |
Akman Yıldız T, Karaoğlu E. Optimal control strategies for tuberculosis dynamics with exogenous reinfections in case of treatment at home and treatment in hospital. Nonlinear Dyn 2019;97:2643-59. [DOI: 10.1007/s11071-019-05153-9] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
|
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Kumar A, Srivastava PK. Role of Optimal Screening and Treatment on Infectious Diseases Dynamics in Presence of Self-protection of Susceptible. Differ Equ Dyn Syst. [DOI: 10.1007/s12591-019-00467-x] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.8] [Reference Citation Analysis]
|
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Kumar A, Srivastava PK, Yadav A. Delayed information induces oscillations in a dynamical model for infectious disease. Int J Biomath 2019;12:1950020. [DOI: 10.1142/s1793524519500207] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 1.8] [Reference Citation Analysis]
|
24 |
Wang X, Peng H, Shi B, Jiang D, Zhang S, Chen B. Optimal vaccination strategy of a constrained time-varying SEIR epidemic model. Communications in Nonlinear Science and Numerical Simulation 2019;67:37-48. [DOI: 10.1016/j.cnsns.2018.07.003] [Cited by in Crossref: 31] [Cited by in F6Publishing: 32] [Article Influence: 7.8] [Reference Citation Analysis]
|
25 |
Kumar A, Srivastava PK. Delayed information induced self-protection leads to oscillations in an epidemic model. AIP Conference Proceedings 2019. [DOI: 10.1063/1.5086657] [Reference Citation Analysis]
|
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Abouelkheir I, El Kihal F, Rachik M, Elmouki I. Time Needed to Control an Epidemic with Restricted Resources in SIR Model with Short-Term Controlled Population: A Fixed Point Method for a Free Isoperimetric Optimal Control Problem. MCA 2018;23:64. [DOI: 10.3390/mca23040064] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.4] [Reference Citation Analysis]
|
27 |
Kihal F, Abouelkheir I, Rachik M, Elmouki I. Optimal Control and Computational Method for the Resolution of Isoperimetric Problem in a Discrete-Time SIRS System. MCA 2018;23:52. [DOI: 10.3390/mca23040052] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.6] [Reference Citation Analysis]
|
28 |
Isaac Oke S, Matadi M, Xulu S. Optimal Control Analysis of a Mathematical Model for Breast Cancer. MCA 2018;23:21. [DOI: 10.3390/mca23020021] [Cited by in Crossref: 15] [Cited by in F6Publishing: 15] [Article Influence: 3.0] [Reference Citation Analysis]
|
29 |
Oke SI, Matadi MB, Xulu SS. Optimal Control of Breast Cancer: Investigating Estrogen as a Risk Factor. Springer Proceedings in Mathematics & Statistics 2018. [DOI: 10.1007/978-3-319-99719-3_41] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
|
30 |
Britton T, Ouédraogo D. SEIRS epidemics with disease fatalities in growing populations. Math Biosci 2018;296:45-59. [PMID: 29155133 DOI: 10.1016/j.mbs.2017.11.006] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 1.5] [Reference Citation Analysis]
|