Reprint

New Challenges in Mathematical Modelling and Control of COVID-19 Epidemics: Analysis of Non-pharmaceutical Actions and Vaccination Strategies

Edited by
August 2024
236 pages
  • ISBN978-3-7258-1175-5 (Hardback)
  • ISBN978-3-7258-1176-2 (PDF)

This is a Reprint of the Special Issue New Challenges in Mathematical Modelling and Control of COVID-19 Epidemics: Analysis of Non-pharmaceutical Actions and Vaccination Strategies that was published in

Computer Science & Mathematics
Engineering
Physical Sciences
Public Health & Healthcare
Summary

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.

 

Format
  • Hardback
License and Copyright
© 2024 by the authors; CC BY-NC-ND license
Keywords
COVID-19 epidemic; model identification; parameter estimation; compartmental model; national lockdown; regional action; vaccine prioritization strategy; flexible Weibull extension; mortality rate; COVID-19 event; simulation; statistical modeling; COVID-19; economic systems; governance models; economic recovery; SIR model; Sanderson model; artificial intelligence; balance model; CIR model; COVID-19; forecasting; modeling; dynamical systems; epidemics; stability; disease; bio mathematics modeling; COVID 19 model; basic reproduction number; agent-based model; epidemic model; computational epidemics; epidemic control policies; nonpharmaceutical interventions; parameter estimation; Haar wavelet; reproduction number; fractional modeling; COVID-19; numerical analysis; COVID-19 epidemic; Cauchy problem; non-linear ordinary differential equations; time-discrete models; basic reproduction number; stability analysis; sensitivity analysis; competing risks; COVID-19; risk factors; cause-specific hazard; sub-distribution hazard; COVID-19 pandemic; multiple vaccine doses; sensitivity analysis; time-varying optimal controls; Pontryagin maximum principle; COVID-19 epidemic; model identification; parameter estimation; compartmental model; vaccine effects; global optimization; n/a