has been cited by the following article(s):
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[1]
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An improved epidemiological-unscented Kalman filter (hybrid SEIHCRDV-UKF) model for the prediction of COVID-19. Application on real-time data
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Chaos, Solitons & Fractals,
2023 |
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[2]
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Maximum likelihood estimation for a stochastic SEIR system with a COVID-19 application
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Larios, F Delgado-Vences… - International Journal of …,
2022 |
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[3]
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A Hybrid SEIHCRDV-UKF Model for COVID-19 Prediction. Application on real-time data
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arXiv preprint arXiv:2207.05011,
2022 |
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[4]
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Epidemic Models and Estimation of the Spread of SARS-CoV-2: Case Study Portoviejo-Ecuador
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… : Second International Conference, SmartTech-IC 2021 …,
2022 |
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[5]
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Predicting the Impact of Covid-19 with Modified Epidemiological Model Using Deep Learning
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2021 |
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[6]
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Probabilistic Modelling of COVID-19 Dynamic in the Context of Madagascar
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2021 |
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[7]
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Maximum likelihood estimation for a stochastic SEIR system for COVID-19
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Larios, F Delgado-Vences… - arXiv preprint arXiv …,
2021 |
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[8]
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Stochastic age-structured malaria transmission model
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Journal of Applied Mathematics & Bioinformatics,
2017 |
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[9]
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Study of the convergence of stochastic compartmental models in epidemiology
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[1]
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An improved epidemiological-unscented Kalman filter (hybrid SEIHCRDV-UKF) model for the prediction of COVID-19. Application on real-time data
Chaos, Solitons & Fractals,
2023
DOI:10.1016/j.chaos.2022.112914
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[2]
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A stochastic SIRD model with imperfect immunity for the evaluation of epidemics
Applied Mathematical Modelling,
2023
DOI:10.1016/j.apm.2023.08.011
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[3]
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Smart Technologies, Systems and Applications
Communications in Computer and Information Science,
2022
DOI:10.1007/978-3-030-99170-8_29
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[4]
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Maximum likelihood estimation for a stochastic SEIR system with a COVID-19 application
International Journal of Computer Mathematics,
2022
DOI:10.1080/00207160.2022.2148316
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