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

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 t...

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collection Directory of Open Access Books
description 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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language eng
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
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spelling doab-20.500.12854ir-1436602024-09-06T07:58:15Z New Challenges in Mathematical Modelling and Control of COVID-19 Epidemics: Analysis of Non-pharmaceutical Actions and Vaccination Strategies Verrelli, Cristiano Maria Rossa, Fabio 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 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 Haar wavelet reproduction number fractional modeling numerical analysis Cauchy problem non-linear ordinary differential equations time-discrete models stability analysis sensitivity analysis competing risks risk factors cause-specific hazard sub-distribution hazard COVID-19 pandemic multiple vaccine doses time-varying optimal controls Pontryagin maximum principle vaccine effects global optimization n/a thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PB Mathematics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics 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. 2024-09-06T07:58:09Z 2024-09-06T07:58:09Z 2024 book ONIX_20240906_9783725811755_22 9783725811755 9783725811762 https://directory.doabooks.org/handle/20.500.12854/143660 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9666 https://mdpi.com/books/pdfview/book/9666 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1176-2 10.3390/books978-3-7258-1176-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725811755 9783725811762 236 open access
spellingShingle 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
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
Haar wavelet
reproduction number
fractional modeling
numerical analysis
Cauchy problem
non-linear ordinary differential equations
time-discrete models
stability analysis
sensitivity analysis
competing risks
risk factors
cause-specific hazard
sub-distribution hazard
COVID-19 pandemic
multiple vaccine doses
time-varying optimal controls
Pontryagin maximum principle
vaccine effects
global optimization
n/a
thema EDItEUR::P Mathematics and Science
thema EDItEUR::P Mathematics and Science::PB Mathematics
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
New Challenges in Mathematical Modelling and Control of COVID-19 Epidemics: Analysis of Non-pharmaceutical Actions and Vaccination Strategies
title New Challenges in Mathematical Modelling and Control of COVID-19 Epidemics: Analysis of Non-pharmaceutical Actions and Vaccination Strategies
title_full New Challenges in Mathematical Modelling and Control of COVID-19 Epidemics: Analysis of Non-pharmaceutical Actions and Vaccination Strategies
title_fullStr New Challenges in Mathematical Modelling and Control of COVID-19 Epidemics: Analysis of Non-pharmaceutical Actions and Vaccination Strategies
title_full_unstemmed New Challenges in Mathematical Modelling and Control of COVID-19 Epidemics: Analysis of Non-pharmaceutical Actions and Vaccination Strategies
title_short New Challenges in Mathematical Modelling and Control of COVID-19 Epidemics: Analysis of Non-pharmaceutical Actions and Vaccination Strategies
title_sort new challenges in mathematical modelling and control of covid 19 epidemics analysis of non pharmaceutical actions and vaccination strategies
topic 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
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
Haar wavelet
reproduction number
fractional modeling
numerical analysis
Cauchy problem
non-linear ordinary differential equations
time-discrete models
stability analysis
sensitivity analysis
competing risks
risk factors
cause-specific hazard
sub-distribution hazard
COVID-19 pandemic
multiple vaccine doses
time-varying optimal controls
Pontryagin maximum principle
vaccine effects
global optimization
n/a
thema EDItEUR::P Mathematics and Science
thema EDItEUR::P Mathematics and Science::PB Mathematics
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
topic_facet 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
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
Haar wavelet
reproduction number
fractional modeling
numerical analysis
Cauchy problem
non-linear ordinary differential equations
time-discrete models
stability analysis
sensitivity analysis
competing risks
risk factors
cause-specific hazard
sub-distribution hazard
COVID-19 pandemic
multiple vaccine doses
time-varying optimal controls
Pontryagin maximum principle
vaccine effects
global optimization
n/a
thema EDItEUR::P Mathematics and Science
thema EDItEUR::P Mathematics and Science::PB Mathematics
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
url ONIX_20240906_9783725811755_22