New Challenges in Mathematical Modelling and Control of COVID-19 Epidemics: Analysis of Non-pharmaceutical Actions and Vaccination Strategies
Materialtyp:
ArtikelUtgivningsinformation: MDPI - Multidisciplinary Digital Publishing Institute 2024Beskrivning: 1 electronic resource (236 p.)Innehållstyp: - text
- computer
- online resource
- 9783725811755
- 9783725811762
- Mathematics and Science
- Mathematics
- Applied mathematics
- CIR model
- COVID 19 model
- COVID-19
- COVID-19 epidemic
- COVID-19 event
- COVID-19 pandemic
- Cauchy problem
- Haar wavelet
- Pontryagin maximum principle
- SIR model
- Sanderson model
- agent-based model
- artificial intelligence
- balance model
- basic reproduction number
- bio mathematics modeling
- cause-specific hazard
- compartmental model
- competing risks
- computational epidemics
- disease
- dynamical systems
- economic recovery
- economic systems
- epidemic control policies
- epidemic model
- epidemics
- flexible Weibull extension
- forecasting
- fractional modeling
- global optimization
- governance models
- model identification
- modeling
- mortality rate
- multiple vaccine doses
- national lockdown
- non-linear ordinary differential equations
- nonpharmaceutical interventions
- numerical analysis
- parameter estimation
- regional action
- reproduction number
- risk factors
- sensitivity analysis
- simulation
- stability
- stability analysis
- statistical modeling
- sub-distribution hazard
- time-discrete models
- time-varying optimal controls
- vaccine effects
- vaccine prioritization strategy
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This reprint contains eleven papers and an Editorial, which were accepted and published in the Special Issue "New Challenges in Mathematical Modelling and Control of COVID-19 Epidemics: Analysis of Non-pharmaceutical Actions and Vaccination Strategies" of the MDPI Mathematics journal. It comprises ten articles and one feature paper (namely, an original article covering several techniques and approaches, as well as providing an outlook for future directions in research) and collects innovative results from and tools for mathematical modelling and epidemic control based on a multidisciplinary approach and analyses related to the following: the clinical characteristics and risk factors of COVID-19; the spread of variants; the recovery of economic systems; the prediction of mortality rate data; the impact of non-pharmaceutical interventions and their relative weight in relation to vaccination strategies in terms of deaths and infections; and coordinated actions that include non-pharmaceutical interventions and vaccination strategies. Hopefully, this reprint will be pertinent to researchers in fields such as applied mathematics, data science, engineering, statistical sciences, computer science, biology, communication, information technology, economics, and management.
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eng
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