135 related articles for article (PubMed ID: 35437340)
1. Robust optimal control of compartmental models in epidemiology: Application to the COVID-19 pandemic.
Olivares A; Staffetti E
Commun Nonlinear Sci Numer Simul; 2022 Aug; 111():106509. PubMed ID: 35437340
[TBL] [Abstract][Full Text] [Related]
2. Uncertainty quantification of a mathematical model of COVID-19 transmission dynamics with mass vaccination strategy.
Olivares A; Staffetti E
Chaos Solitons Fractals; 2021 May; 146():110895. PubMed ID: 33814733
[TBL] [Abstract][Full Text] [Related]
3. Robust motion trajectory optimization of overhead cranes based on polynomial chaos expansion.
Peng H; Zhao H; Wang X; Li Y
ISA Trans; 2021 Apr; 110():71-85. PubMed ID: 33745509
[TBL] [Abstract][Full Text] [Related]
4. Uncertainty quantification in simulations of epidemics using polynomial chaos.
Santonja F; Chen-Charpentier B
Comput Math Methods Med; 2012; 2012():742086. PubMed ID: 22927889
[TBL] [Abstract][Full Text] [Related]
5. Optimal control-based vaccination and testing strategies for COVID-19.
Olivares A; Staffetti E
Comput Methods Programs Biomed; 2021 Nov; 211():106411. PubMed ID: 34600408
[TBL] [Abstract][Full Text] [Related]
6. Assessing parameter identifiability in compartmental dynamic models using a computational approach: application to infectious disease transmission models.
Roosa K; Chowell G
Theor Biol Med Model; 2019 Jan; 16(1):1. PubMed ID: 30642334
[TBL] [Abstract][Full Text] [Related]
7. Control with uncertain data of socially structured compartmental epidemic models.
Albi G; Pareschi L; Zanella M
J Math Biol; 2021 May; 82(7):63. PubMed ID: 34023964
[TBL] [Abstract][Full Text] [Related]
8. Dynamics and Development of the COVID-19 Epidemic in the United States: A Compartmental Model Enhanced With Deep Learning Techniques.
Deng Q
J Med Internet Res; 2020 Aug; 22(8):e21173. PubMed ID: 32763892
[TBL] [Abstract][Full Text] [Related]
9. On using polynomial chaos for modeling uncertainty in acoustic propagation.
Creamer DB
J Acoust Soc Am; 2006 Apr; 119(4):1979-94. PubMed ID: 16642812
[TBL] [Abstract][Full Text] [Related]
10. Mixed uncertainty analysis on pumping by peristaltic hearts using Dempster-Shafer theory.
He Y; Battista NA; Waldrop LD
J Math Biol; 2024 Jun; 89(1):13. PubMed ID: 38879850
[TBL] [Abstract][Full Text] [Related]
11. Application of Optimal Control of Infectious Diseases in a Model-Free Scenario.
Nepomuceno EG; Peixoto MLC; Lacerda MJ; Campanharo ASLO; Takahashi RHC; Aguirre LA
SN Comput Sci; 2021; 2(5):405. PubMed ID: 34396152
[TBL] [Abstract][Full Text] [Related]
12. Modelling the early phase of the Belgian COVID-19 epidemic using a stochastic compartmental model and studying its implied future trajectories.
Abrams S; Wambua J; Santermans E; Willem L; Kuylen E; Coletti P; Libin P; Faes C; Petrof O; Herzog SA; Beutels P; Hens N
Epidemics; 2021 Jun; 35():100449. PubMed ID: 33799289
[TBL] [Abstract][Full Text] [Related]
13. Dynamic graph and polynomial chaos based models for contact tracing data analysis and optimal testing prescription.
Ubaru S; Horesh L; Cohen G
J Biomed Inform; 2021 Oct; 122():103901. PubMed ID: 34474189
[TBL] [Abstract][Full Text] [Related]
14. A multi-stage stochastic programming approach to epidemic resource allocation with equity considerations.
Yin X; Büyüktahtakın IE
Health Care Manag Sci; 2021 Sep; 24(3):597-622. PubMed ID: 33970390
[TBL] [Abstract][Full Text] [Related]
15. Accurate quantification of uncertainty in epidemic parameter estimates and predictions using stochastic compartmental models.
Zimmer C; Leuba SI; Cohen T; Yaesoubi R
Stat Methods Med Res; 2019 Dec; 28(12):3591-3608. PubMed ID: 30428780
[TBL] [Abstract][Full Text] [Related]
16. Determination of an optimal control strategy for vaccine administration in COVID-19 pandemic treatment.
Libotte GB; Lobato FS; Platt GM; Silva Neto AJ
Comput Methods Programs Biomed; 2020 Nov; 196():105664. PubMed ID: 32736332
[TBL] [Abstract][Full Text] [Related]
17. Modeling the dynamics of COVID-19 pandemic with implementation of intervention strategies.
Khajanchi S; Sarkar K; Banerjee S
Eur Phys J Plus; 2022; 137(1):129. PubMed ID: 35070618
[TBL] [Abstract][Full Text] [Related]
18. Mathematical modeling and optimal intervention strategies of the COVID-19 outbreak.
Mondal J; Khajanchi S
Nonlinear Dyn; 2022; 109(1):177-202. PubMed ID: 35125654
[TBL] [Abstract][Full Text] [Related]
19. Multitask learning and nonlinear optimal control of the COVID-19 outbreak: A geometric programming approach.
Hayhoe M; Barreras F; Preciado VM
Annu Rev Control; 2021; 52():495-507. PubMed ID: 34040494
[TBL] [Abstract][Full Text] [Related]
20. Compartmental structures used in modeling COVID-19: a scoping review.
Kong L; Duan M; Shi J; Hong J; Chang Z; Zhang Z
Infect Dis Poverty; 2022 Jun; 11(1):72. PubMed ID: 35729655
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
