Contact rate epidemic control of COVID-19: an equilibrium view
Math. Model. Nat. Phenom., 15 (2020) 35
Published online: 2020-06-19
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
Mean field analysis of two-party governance: Competition versus cooperation among leaders
Dantong Chu, Kenneth Tsz Hin Ng, Sheung Chi Phillip Yam and Harry ZhengAutomatica 173 112028 (2025)
https://doi.org/10.1016/j.automatica.2024.112028
Influence of Transfer Epidemiological Processes on the Formation of Endemic Equilibria in the Extended SEIS Model
Alexander R. Karimov, Michael A. Solomatin and Alexey N. BocharovMathematics 12 (22) 3585 (2024)
https://doi.org/10.3390/math12223585
Mean-field-game approach to nonpharmaceutical interventions in a social-structure model of epidemics
Louis Bremaud, Olivier Giraud and Denis UllmoPhysical Review E 110 (6) (2024)
https://doi.org/10.1103/PhysRevE.110.064301
Beyond the Surface of Digital Contact Tracing: Delving into the Interconnected World of Technology, Individuals, and Society
Jiejun Hu-Bolz, Katayoun Farrahi and Manuel CebrianIEEE Transactions on Systems, Man, and Cybernetics: Systems 54 (10) 6332 (2024)
https://doi.org/10.1109/TSMC.2024.3428393
No Panic in Pandemic: The Impact of Individual Choice on Public Health Policy
Miao Bai, Ying Cui, Guangwen Kong and Anthony Zhenhuan ZhangManufacturing & Service Operations Management 26 (5) 1622 (2024)
https://doi.org/10.1287/msom.2022.0514
5075 (2024)
https://doi.org/10.23919/ACC60939.2024.10644211
CAST2-Zone Wise Disease Outbreak Control Model for SARS-Cov 2
P. Muthulakshmi, K. Suthendran and Vinayakumar RaviMultimedia Tools and Applications (2024)
https://doi.org/10.1007/s11042-024-19918-x
Optimal Epidemic Control by Social Distancing and Vaccination of an Infection Structured by Time Since Infection: The COVID-19 Case Study
Alberto d’Onofrio, Mimmo Iannelli, Piero Manfredi and Gabriela MarinoschiSIAM Journal on Applied Mathematics 84 (3) S199 (2024)
https://doi.org/10.1137/22M1499406
Global stability and sensitivity analysis of parameters of Omicron variant epidemic in diverse susceptible classes incorporating vaccination stages
R. Prem Kumar, Sanjoy Basu, P. K. Santra, Abdelalim A. Elsadany, Amr Elsonbaty, G. S. Mahapatra and A. Al-khedhairiSoft Computing 28 (6) 4689 (2024)
https://doi.org/10.1007/s00500-023-09170-0
6792 (2024)
https://doi.org/10.1109/CDC56724.2024.10886681
2449 (2024)
https://doi.org/10.1109/CASE59546.2024.10711735
Planning Interventions in a Controlled Pandemic: The COVID-19 Case
Franco Galante, Chiara Ravazzi, Michele Garetto and Emilio LeonardiIEEE Transactions on Network Science and Engineering 11 (2) 2314 (2024)
https://doi.org/10.1109/TNSE.2023.3343807
50 (2024)
https://doi.org/10.1287/educ.2024.0272
Optimal lock-down intensity: A stochastic pandemic control approach of path integral
Paramahansa PramanikComputational and Mathematical Biophysics 11 (1) (2023)
https://doi.org/10.1515/cmb-2023-0110
Optimal control strategies for a SAIQR model of epidemic disease
Mahmood DadkhahPhysica Scripta 98 (10) 105232 (2023)
https://doi.org/10.1088/1402-4896/acf800
212 (2023)
https://doi.org/10.1109/PDP59025.2023.00041
045 (2023)
https://doi.org/10.1109/CSGB60362.2023.10329859
Pedestrians in static crowds are not grains, but game players
Thibault Bonnemain, Matteo Butano, Théophile Bonnet, et al.Physical Review E 107 (2) (2023)
https://doi.org/10.1103/PhysRevE.107.024612
Predicting COVID-19 Pandemic Endpoint in Some Sub-Saharan African and European Countries
Saviour Worlanyo Akuamoah, John Coker Ayimah, David Yaro, et al.Journal of Applied Mathematics 2023 1 (2023)
https://doi.org/10.1155/2023/7882843
Path integral control of a stochastic multi-risk SIR pandemic model
Paramahansa PramanikTheory in Biosciences 142 (2) 107 (2023)
https://doi.org/10.1007/s12064-023-00388-y
Recent advances in modeling and control of epidemics using a mean field approach
Amal Roy, Chandramani Singh and Y NarahariSādhanā 48 (4) (2023)
https://doi.org/10.1007/s12046-023-02268-z
On the Efficiency of Decentralized Epidemic Management and Application to Covid-19
Olivier Lindamulage De Silva, Samson Lasaulce and Irinel-Constantin MorarescuIEEE Control Systems Letters 6 884 (2022)
https://doi.org/10.1109/LCSYS.2021.3087101
Real-Time Optimization of Social Distancing to Mitigate COVID-19 Pandemic Using Quantized Extremum Seeking
Laurent Dewasme and Alain Vande WouwerCOVID 2 (8) 1077 (2022)
https://doi.org/10.3390/covid2080079
Multiscale heterogeneous optimal lockdown control for COVID-19 using geographic information
Cyrus Neary, Murat Cubuktepe, Niklas Lauffer, et al.Scientific Reports 12 (1) (2022)
https://doi.org/10.1038/s41598-022-07692-5
5627 (2022)
https://doi.org/10.1109/CDC51059.2022.9992518
520 (2022)
https://doi.org/10.1145/3549206.3549294
3648 (2022)
https://doi.org/10.23919/ACC53348.2022.9867547
Construction of SCUIR Propagation Model Based on Time-Varying Parameters
Feng Li and Gengxin SunJournal of Global Information Management 30 (10) 1 (2022)
https://doi.org/10.4018/JGIM.302889
Tiered social distancing policies and epidemic control
Pierre-Alexandre Bliman, Alessio Carrozzo-Magli, Alberto d’Onofrio and Piero ManfrediProceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 478 (2268) (2022)
https://doi.org/10.1098/rspa.2022.0175
Forecasting COVID-19 Chile’ second outbreak by a generalized SIR model with constant time delays and a fitted positivity rate
Patricio Cumsille, Óscar Rojas-Díaz, Pablo Moisset de Espanés and Paula Verdugo-HernándezMathematics and Computers in Simulation 193 1 (2022)
https://doi.org/10.1016/j.matcom.2021.09.016
Optimal control design incorporating vaccination and treatment on six compartment pandemic dynamical system
R. Prem Kumar, Sanjoy Basu, P.K. Santra, D. Ghosh and G.S. MahapatraResults in Control and Optimization 7 100115 (2022)
https://doi.org/10.1016/j.rico.2022.100115
Advances in Behavioral Based Safety
Ankit Dasgotra, Vishal Kumar Singh, S. M. Tauseef, et al.Advances in Behavioral Based Safety 25 (2022)
https://doi.org/10.1007/978-981-16-8270-4_2
Developing, evaluating and scaling learning agents in multi-agent environments
Ian Gemp, Thomas Anthony, Yoram Bachrach, et al.AI Communications 35 (4) 271 (2022)
https://doi.org/10.3233/AIC-220113
Social structure description of epidemic propagation with a mean-field game paradigm
Louis Bremaud and Denis UllmoPhysical Review E 106 (6) (2022)
https://doi.org/10.1103/PhysRevE.106.L062301
Finite State Graphon Games with Applications to Epidemics
Alexander Aurell, René Carmona, Gökçe Dayanıklı and Mathieu LaurièreDynamic Games and Applications 12 (1) 49 (2022)
https://doi.org/10.1007/s13235-021-00410-2
5536 (2022)
https://doi.org/10.1109/CDC51059.2022.9992844
Dynamic Games of Social Distancing During an Epidemic: Analysis of Asymmetric Solutions
Ioannis Kordonis, Athanasios-Rafail Lagos and George P. PapavassilopoulosDynamic Games and Applications 12 (1) 214 (2022)
https://doi.org/10.1007/s13235-021-00403-1
Geo-intelligence for Sustainable Development
Fenzhen Su, Fengqin Yan and Han XiaoAdvances in Geographical and Environmental Sciences, Geo-intelligence for Sustainable Development 83 (2021)
https://doi.org/10.1007/978-981-16-4768-0_6
Discontinuous transitions of social distancing in the SIR model
R. Arazi and A. FeigelPhysica A: Statistical Mechanics and its Applications 566 125632 (2021)
https://doi.org/10.1016/j.physa.2020.125632
6928 (2021)
https://doi.org/10.1109/CDC45484.2021.9683048
Robust linear quadratic mean field social control: A direct approach
Tinghan Xie, Bing-Chang Wang and Jianhui HuangESAIM: Control, Optimisation and Calculus of Variations 27 20 (2021)
https://doi.org/10.1051/cocv/2021021
Continuous-Time Mean Field Games with Finite State Space and Common Noise
Christoph Belak, Daniel Hoffmann and Frank T. SeifriedApplied Mathematics & Optimization 84 (3) 3173 (2021)
https://doi.org/10.1007/s00245-020-09743-7
2830 (2021)
https://doi.org/10.1109/CDC45484.2021.9683197
A Macroeconomic SIR Model for COVID-19
Erhan Bayraktar, Asaf Cohen and April NellisMathematics 9 (16) 1901 (2021)
https://doi.org/10.3390/math9161901
No Panic in Pandemic: The Impact of Individual Choice on Public Health Policy and Vaccine Priority
Zhenhuan Zhang, Miao Bai, Ying Cui and Guangwen KongSSRN Electronic Journal (2021)
https://doi.org/10.2139/ssrn.3763514
Vaccination and social distance to prevent COVID-19
Cristiane M. Batistela, Marien M. Ramos, Manuel A.M. Cabrera, Giovanni M. Dieguez and José R.C. PiqueiraIFAC-PapersOnLine 54 (15) 151 (2021)
https://doi.org/10.1016/j.ifacol.2021.10.247
COVID-19 pandemic control: balancing detection policy and lockdown intervention under ICU sustainability
Arthur Charpentier, Romuald Elie, Mathieu Laurière, et al.Mathematical Modelling of Natural Phenomena 15 57 (2020)
https://doi.org/10.1051/mmnp/2020045
(2020)
https://doi.org/10.1101/2020.05.20.20107573
COVID-19: Data-Driven Mean-Field-Type Game Perspective
Hamidou TembineGames 11 (4) 51 (2020)
https://doi.org/10.3390/g11040051
Effects of information-induced behavioural changes during the COVID-19 lockdowns: the case of Italy
Bruno Buonomo and Rossella Della MarcaRoyal Society Open Science 7 (10) 201635 (2020)
https://doi.org/10.1098/rsos.201635