Volatile Multiple Smart Systems Network
Cyber-physical systems, CPS, like self-driving vehicles, e.g., cars, drones, and water vessels, are common in society, today. AI is used to enable the CPS to autonomously carry out tasks in society. But fully autonomous CPS can currently not be accepted in heavy traffic and dynamic environments. In this talk Professor Anne Håkansson describes Volatile Multiple Smart Systems Network and how this kind of network can be applied to deploy fully autonomous CPS in society.
Complex systems and Epidemic modeling
Epidemic modeling and more, pandemic modeling, involves a mathematical approach using complex systems architectures at two levels: i) for representing the contagion process between susceptible individuals and ii) for simulating the efficiency of mitigating and/or curative measures based on prevention, vaccination and therapy policies. For the first level, we will take as example the COVID-19 outbreak and for the second the obesity spread, both declared worldwide pandemic by the World Health Organization (WHO).
1. J. Gaudart, J. Landier, L. Huiart, E. Legendre, L. Lehot, M.K. Bendiane, L. Chiche, A. Petitjean, E. Mosnier, F. Kirakoya-Samadoulougou, J. Demongeot, R. Piarroux & S. Rebaudet
Factors associated with spatial heterogeneity of Covid-19 in France: a nationwide ecological study.
The Lancet Public Health, 6, e222-e231 (2021).
2. J. Demongeot, K. Oshinubi, M. Rachdi, H. Seligmann, F. Thuderoz & J. Waku
Estimation of Daily Reproduction Rates in COVID-19 Outbreak.
Computation, 9, 109 (2021).
3. K. Oshinubi, S. BuHamra, N. Alkandari, J. Waku, M. Rachdi & J. Demongeot
Age Dependent Epidemic Modelling of COVID-19 Outbreak in Kuwait, France and Cameroon.
Healthcare, 10, 482 (2022).
4. Z. Xu, D. Yang, L. Wang & J. Demongeot
Statistical Analysis Supports UTR (untranslated region) Deletion Theory in SARS-CoV-2.
Virulence, 13, 1772-1789 (2022).
5. J. Demongeot & C. Fougere
mRNA vaccines – Facts and hypotheses on fragmentation and encapsulation.
Vaccines, 11, 40 (2022).
6. M. Jelassi, K. Oshinubi, M. Rachdi & J. Demongeot
Epidemic Dynamics on Social Interaction Networks.
AIMS Bioengineering, 9, 348-361 (2022).
7. J. Demongeot, Q. Griette, Y. Maday & P. Magal
A Kermack-McKendrick model with age of infection starting from a single or multiple cohorts of infected patients.
Proc. Royal Society A, 479, 2022.0381 (2023).
8. B. Kammegne, K. Oshinubi, T. Babasola, O.J. Peter, O.B. Longe, R.B. Ogunrinde, E.O. Titiloye & J. Demongeot
Mathematical modelling of spatial distribution of COVID-19 outbreak using diffusion equation.
Pathogens, 12, 88 (2023).
9. Z. Xu, D. Wei, Q. Zeng, H. Zhang, Y. Sun & J. Demongeot
More or less deadly? A mathematical model that predicts 1 SARS-CoV-2 evolutionary direction.
Computers in Biology & Medicine, 153, 106510 (2023).
10. J. Demongeot & P. Magal
Data Driven Modeling in Mathematical Biology.
Frontiers in Applied Maths & Statistics, 9, 1129749 (2023).
11. Z. Xu, D. Yang & J. Demongeot
A Deterministic Agent-based Model with Antibody Dynamics Information in COVID-19 Epidemic Simulation.
Frontiers in Public Health (submitted).