Moving From COVID-19 Mathematical Models to Vaccine Design: Theory, Practice and Experiences

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Author :
Publisher : Bentham Science Publishers
ISBN 13 : 9815051911
Total Pages : 583 pages
Book Rating : 4.8/5 (15 download)

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Book Synopsis Moving From COVID-19 Mathematical Models to Vaccine Design: Theory, Practice and Experiences by : Andrés Fraguela-Collar

Download or read book Moving From COVID-19 Mathematical Models to Vaccine Design: Theory, Practice and Experiences written by Andrés Fraguela-Collar and published by Bentham Science Publishers. This book was released on 2022-09-05 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: This compendium represents a set of guides to understanding the challenging scientific, epidemiological, clinical, social, and economic phenomenon that is represented by the COVID-19 pandemic. The book explains the mathematical modeling of COVID-19 infection, with emphasis on traditional epidemiological principles. It represents a rigorous, comprehensive and multidisciplinary approach to a complex phenomenon. The chapters take into account the knowledge arising from different disciplines (epidemiology, pathophysiology, immunology, medicine, biology, vaccine development, etc.). It also covers COVID-19 data analysis, giving the reader a perspective of statistics and data science, and includes a discussion about social and economic issues of the pandemic. Each chapter is devoted to a specific topic, and is contributed by experts in epidemiology. Because of its multidisciplinary nature, this book is intended as a reference on mathematical models and basic immunotherapy for COVID-19 for a broad community of readers, from scholars who have scientific training, to general readers who have an interest in the disease.

Mathematics of Public Health

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Publisher : Springer Nature
ISBN 13 : 3030850536
Total Pages : 349 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Mathematics of Public Health by : V. Kumar Murty

Download or read book Mathematics of Public Health written by V. Kumar Murty and published by Springer Nature. This book was released on 2022-02-08 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Curated by the Fields Institute for Research in Mathematical Sciences from their COVID-19 Math Modelling Seminars, this first in a series of volumes on the mathematics of public health allows readers to access the dominant ideas and techniques being used in this area, while indicating problems for further research. This work brings together experts in mathematical modelling from across Canada and the world, presenting the latest modelling methods as they relate to the COVID-19 pandemic. A primary aim of this book is to make the content accessible so that researchers share the core methods that may be applied elsewhere. The mathematical theories and technologies in this book can be used to support decision makers on critical issues such as projecting outbreak trajectories, evaluating public health interventions for infection prevention and control, developing optimal strategies to return to a new normal, and designing vaccine candidates and informing mass immunization program. Topical coverage includes: basic susceptible-exposed-infectious-recovered (SEIR) modelling framework modified and applied to COVID-19 disease transmission dynamics; nearcasting and forecasting for needs of critical medical resources including personal protective equipment (PPE); predicting COVID-19 mortality; evaluating effectiveness of convalescent plasma treatment and the logistic implementation challenges; estimating impact of delays in contact tracing; quantifying heterogeneity in contact mixing and its evaluation with social distancing; modelling point of care diagnostics of COVID-19; and understanding non-reporting and underestimation. Further, readers will have the opportunity to learn about current modelling methodologies and technologies for emerging infectious disease outbreaks, pandemic mitigation rapid response, and the mathematics behind them. The volume will help the general audience and experts to better understand the important role that mathematics has been playing during this on-going crisis in supporting critical decision-making by governments and public health agencies.

Mathematical Modeling, Simulations, and AI for Emergent Pandemic Diseases

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Author :
Publisher : Elsevier
ISBN 13 : 0323950655
Total Pages : 352 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Mathematical Modeling, Simulations, and AI for Emergent Pandemic Diseases by : Esteban A. Hernandez-Vargas

Download or read book Mathematical Modeling, Simulations, and AI for Emergent Pandemic Diseases written by Esteban A. Hernandez-Vargas and published by Elsevier. This book was released on 2023-03-21 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Modeling, Simulations, and Artificial Intelligence for Emergent Pandemic Diseases: Lessons Learned from COVID-19 includes new research, models and simulations developed during the COVID-19 pandemic into how mathematical methods and practice can impact future response. Chapters go beyond forecasting COVID-19, bringing different scale angles and mathematical techniques (e.g., ordinary differential and difference equations, agent-based models, artificial intelligence, and complex networks) which could have potential use in modeling other emergent pandemic diseases. A major part of the book focuses on preparing the scientific community for the next pandemic, particularly the application of mathematical modeling in ecology, economics and epidemiology. Readers will benefit from learning how to apply advanced mathematical modeling to a variety of topics of practical interest, including optimal allocations of masks and vaccines but also more theoretical problems such as the evolution of viral variants. Provides a comprehensive overview of the state-of-the-art in mathematical modeling and computational simulations for emerging pandemics Presents modeling techniques that go beyond COVID-19, and that can be applied to tailoring interventions to attenuate high death tolls Includes illustrations, tables and dialog boxes to explain highly specialized concepts and insights with complex algorithms, along with links to programming code

Computational Epidemiology

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Publisher : Springer Nature
ISBN 13 : 3030828905
Total Pages : 312 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Computational Epidemiology by : Ellen Kuhl

Download or read book Computational Epidemiology written by Ellen Kuhl and published by Springer Nature. This book was released on 2021-09-22 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This innovative textbook brings together modern concepts in mathematical epidemiology, computational modeling, physics-based simulation, data science, and machine learning to understand one of the most significant problems of our current time, the outbreak dynamics and outbreak control of COVID-19. It teaches the relevant tools to model and simulate nonlinear dynamic systems in view of a global pandemic that is acutely relevant to human health. If you are a student, educator, basic scientist, or medical researcher in the natural or social sciences, or someone passionate about big data and human health: This book is for you! It serves as a textbook for undergraduates and graduate students, and a monograph for researchers and scientists. It can be used in the mathematical life sciences suitable for courses in applied mathematics, biomedical engineering, biostatistics, computer science, data science, epidemiology, health sciences, machine learning, mathematical biology, numerical methods, and probabilistic programming. This book is a personal reflection on the role of data-driven modeling during the COVID-19 pandemic, motivated by the curiosity to understand it.

COVID Transmission Modeling

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Publisher : CRC Press
ISBN 13 : 1000593215
Total Pages : 458 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis COVID Transmission Modeling by : DM Basavarajaiah

Download or read book COVID Transmission Modeling written by DM Basavarajaiah and published by CRC Press. This book was released on 2022-06-28 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: COVID Transmission Modeling: An Insight into Infectious Diseases Mechanism provides an interdisciplinary overview of the COVID-19 pandemic crisis and covers various aspects of newer modeling techniques and practical solutions for health emergencies. This book aims to formulate various innovative and pragmatic mathematical, statistical, and epidemiological models using COVID-19 real data sets. It emphasizes interdisciplinary theoretical postulates derived from practical insights and knowledge of public health. Each of the book’s 12 chapters provides invaluable and exploratory tools to enable explicit assumptions, highlights key health indicators, and determines the geometric progression and control measures of the disease. The present developed models will allow readers to extrapolate the exact reason for the outbreak and pave the way for scientific information on vaccine trials and socioeconomic, psychological, and disease burden worldwide. These advanced techniques of modeling and their applications are in greater need than ever for effective connection between mathematicians, statisticians, epidemiologists, researchers, clinicians, and policymakers for making appropriate decisions at the right time. With the advent of emerging health science, all models are demonstrated with real-life data sets and provided with illustrations and eye-catching graphs and diagrams so that the readers can easily understand the concept of COVID-19 pandemic interventions and their control measures, and their impact. Features Addresses all aspects of mitigation/control measures, estimation of transmission rate, economic impact assessment, genetic complexity of COVID-19, herd immunity, and various methods, including newer mathematical, statistical, and epidemiological models in the analysis of COVID-19 pandemic outbreak Covers the application of innovative, advanced statistical and epidemiological models and demonstrates possible solutions toward supportive treatment aspects of COVID-19 and its control measures Includes models that can easily be followed in formulating the mathematical derivations and key points Supplemented with ample illustrations, images, diagrams, and figures This book is aimed at postgraduate students studying medicine and healthcare, mathematics, and statistical information. Researchers will also find this book very helpful.

Mathematical and Computational Modelling of Covid-19 Transmission

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Author :
Publisher : CRC Press
ISBN 13 : 1003807127
Total Pages : 337 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Mathematical and Computational Modelling of Covid-19 Transmission by : Mandeep Mittal

Download or read book Mathematical and Computational Modelling of Covid-19 Transmission written by Mandeep Mittal and published by CRC Press. This book was released on 2023-12-07 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Infectious diseases are leading threats and are of highest risk to the human population globally. Over the last two years, we saw the transmission of Covid-19. Millions of people died or were forced to live with a disability. Mathematical models are effective tools that enable analysis of relevant information, simulate the related process and evaluate beneficial results. They can help to make rational decisions to lead toward a healthy society. Formulation of mathematical models for a pollution-free environment is also very important for society. To determine the system which can be modelled, we need to formulate the basic context of the model underlying some necessary assumptions. This describes our beliefs in terms of the mathematical language of how the world functions. This book addresses issues during the Covid phase and post-Covid phase. It analyzes transmission, impact of coinfections, and vaccination as a control or to decrease the intensity of infection. It also talks about the violence and unemployment problems occurring during the post-Covid period. This book will help societal stakeholders to resume normality slowly and steadily.

COVID-19 Epidemiology and Virus Dynamics

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Publisher : Springer Nature
ISBN 13 : 3030971783
Total Pages : 367 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis COVID-19 Epidemiology and Virus Dynamics by : Till D. Frank

Download or read book COVID-19 Epidemiology and Virus Dynamics written by Till D. Frank and published by Springer Nature. This book was released on 2022-03-30 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the COVID-19 pandemic from a quantitative perspective based on mathematical models and methods largely used in nonlinear physics. It aims to study COVID-19 epidemics in countries and SARS-CoV-2 infections in individuals from the nonlinear physics perspective and to model explicitly COVID-19 data observed in countries and virus load data observed in COVID-19 patients. The first part of this book provides a short technical introduction into amplitude spaces given by eigenvalues, eigenvectors, and amplitudes.In the second part of the book, mathematical models of epidemiology are introduced such as the SIR and SEIR models and applied to describe COVID-19 epidemics in various countries around the world. In the third part of the book, virus dynamics models are considered and applied to infections in COVID-19 patients. This book is written for researchers, modellers, and graduate students in physics and medicine, epidemiology and virology, biology, applied mathematics, and computer sciences. This book identifies the relevant mechanisms behind past COVID-19 outbreaks and in doing so can help efforts to stop future COVID-19 outbreaks and other epidemic outbreaks. Likewise, this book points out the physics underlying SARS-CoV-2 infections in patients and in doing so supports a physics perspective to address human immune reactions to SARS-CoV-2 infections and similar virus infections.

Mathematical Analysis for Transmission of COVID-19

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Publisher : Springer Nature
ISBN 13 : 9813362642
Total Pages : 366 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Mathematical Analysis for Transmission of COVID-19 by : Nita H. Shah

Download or read book Mathematical Analysis for Transmission of COVID-19 written by Nita H. Shah and published by Springer Nature. This book was released on 2021-04-01 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes various mathematical models that can be used to better understand the spread of novel Coronavirus Disease 2019 (COVID-19) and help to fight against various challenges that have been developed due to COVID-19. The book presents a statistical analysis of the data related to the COVID-19 outbreak, especially the infection speed, death and fatality rates in major countries and some states of India like Gujarat, Maharashtra, Madhya Pradesh and Delhi. Each chapter with distinctive mathematical model also has numerical results to support the efficacy of these models. Each model described in this book provides its unique prediction policy to reduce the spread of COVID-19. This book is beneficial for practitioners, educators, researchers and policymakers handling the crisis of COVID-19 pandemic.

Mathematical Modeling and Intelligent Control for Combating Pandemics

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Publisher : Springer Nature
ISBN 13 : 3031331834
Total Pages : 278 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Mathematical Modeling and Intelligent Control for Combating Pandemics by : Zakia Hammouch

Download or read book Mathematical Modeling and Intelligent Control for Combating Pandemics written by Zakia Hammouch and published by Springer Nature. This book was released on 2023-09-11 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributions in this carefully curated volume, present cutting-edge research in applied mathematical modeling for combating COVID-19 and other potential pandemics. Mathematical modeling and intelligent control have emerged as powerful computational models and have shown significant success in combating any pandemic. These models can be used to understand how COVID-19 or other pandemics can spread, analyze data on the incidence of infectious diseases, and predict possible future scenarios concerning pandemics. This book also discusses new models, practical solutions, and technological advances related to detecting and analyzing COVID-19 and other pandemics based on intelligent control systems that assist decision-makers, managers, professionals, and researchers. Much of the book focuses on preparing the scientific community for the next pandemic, particularly the application of mathematical modeling and intelligent control for combating the Monkeypox virus and Langya Henipavirus.

Mathematical Modelling and Nonstandard Schemes for the Corona Virus Pandemic

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Publisher : Springer Nature
ISBN 13 : 3658359323
Total Pages : 260 pages
Book Rating : 4.6/5 (583 download)

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Book Synopsis Mathematical Modelling and Nonstandard Schemes for the Corona Virus Pandemic by : Sarah Marie Treibert

Download or read book Mathematical Modelling and Nonstandard Schemes for the Corona Virus Pandemic written by Sarah Marie Treibert and published by Springer Nature. This book was released on 2021-12-11 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with the prediction of possible future scenarios concerning the COVID-19 pandemic. Based on the well-known SIR model by Kermack and McKendrick a compartment model is established. This model comprises its own assumptions, transition rates and transmission dynamics, as well as a corresponding system of ordinary differential equations. Making use of numerical methods and a nonstandard-finite-difference scheme, two submodels are implemented in Matlab in order to make parameter estimations and compare different scenarios with each other.

COVID-19 Pandemic Dynamics

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Publisher : Springer Nature
ISBN 13 : 9813364165
Total Pages : 172 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis COVID-19 Pandemic Dynamics by : Igor Nesteruk

Download or read book COVID-19 Pandemic Dynamics written by Igor Nesteruk and published by Springer Nature. This book was released on 2021-02-10 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the estimate of epidemic characteristics for different countries/regions in the world with the use of known SIR (susceptible-infected-removed) model for the dynamics of the epidemic, the known exact solution of the linear differential equations and statistical approach developed before. The COVID-19 pandemic is of great interest to researchers due to its high mortality and a negative impact to the world economy. Correct simulation of the pandemic dynamics needs complicated mathematical models and many efforts for unknown parameters identification. The simple method of detection of the new pandemic wave is proposed and SIR model generalized. The hidden periods, epidemic durations, final numbers of cases, the effective reproduction numbers and probabilities of meeting an infected person are presented for countries like USA, Germany, UK, the Republic of Korea, Italy, Spain, France, the Republic of Moldova, Ukraine, and for the world. The presented information is useful to regulate the quarantine activities and to predict the medical and economic consequences of different/future pandemics.

Analysis of Infectious Disease Problems (Covid-19) and Their Global Impact

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Publisher : Springer Nature
ISBN 13 : 981162450X
Total Pages : 635 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Analysis of Infectious Disease Problems (Covid-19) and Their Global Impact by : Praveen Agarwal

Download or read book Analysis of Infectious Disease Problems (Covid-19) and Their Global Impact written by Praveen Agarwal and published by Springer Nature. This book was released on 2021 with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume is a collection of selected research articles discussing the analysis of infectious diseases by using mathematical modelling in recent times. Divided into two parts, the book gives a general and country-wise analysis of Covid-19. Analytical and numerical techniques for virus models are presented along with the application of mathematical modelling in the analysis of their spreading rates and treatments. The book also includes applications of fractional differential equations as well as ordinary, partial and integrodifferential equations with optimization methods. Probability distribution and their bio-mathematical applications have also been studied. This book is a valuable resource for researchers, scholars, biomathematicians and medical experts.

Mathematical modelling of the pandemic of 2019 novel coronavirus (COVID-19): Patterns, Dynamics, Prediction, and Control

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Publisher : Frontiers Media SA
ISBN 13 : 2889713865
Total Pages : 308 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Mathematical modelling of the pandemic of 2019 novel coronavirus (COVID-19): Patterns, Dynamics, Prediction, and Control by : Hui-Jia Li

Download or read book Mathematical modelling of the pandemic of 2019 novel coronavirus (COVID-19): Patterns, Dynamics, Prediction, and Control written by Hui-Jia Li and published by Frontiers Media SA. This book was released on 2021-09-27 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt:

COVID Transmission Modelling

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Publisher : CRC Press
ISBN 13 : 9781032069708
Total Pages : 408 pages
Book Rating : 4.0/5 (697 download)

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Book Synopsis COVID Transmission Modelling by : D. M. Basavarajaiah

Download or read book COVID Transmission Modelling written by D. M. Basavarajaiah and published by CRC Press. This book was released on 2022 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book will explore and formulate new mathematical/statistical and epidemiological modelling based on the research findings. It covers all the aspects of mitigation, estimation of transmission rate, control measures, economic impact assessment, genetic complexity of COVID and herd immunity"--

Framework for Equitable Allocation of COVID-19 Vaccine

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Publisher : National Academies Press
ISBN 13 : 030968224X
Total Pages : 273 pages
Book Rating : 4.3/5 (96 download)

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Book Synopsis Framework for Equitable Allocation of COVID-19 Vaccine by : National Academies of Sciences, Engineering, and Medicine

Download or read book Framework for Equitable Allocation of COVID-19 Vaccine written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2020-11-30 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: In response to the coronavirus disease 2019 (COVID-19) pandemic and the societal disruption it has brought, national governments and the international community have invested billions of dollars and immense amounts of human resources to develop a safe and effective vaccine in an unprecedented time frame. Vaccination against this novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), offers the possibility of significantly reducing severe morbidity and mortality and transmission when deployed alongside other public health strategies and improved therapies. Health equity is intertwined with the impact of COVID-19 and there are certain populations that are at increased risk of severe illness or death from COVID-19. In the United States and worldwide, the pandemic is having a disproportionate impact on people who are already disadvantaged by virtue of their race and ethnicity, age, health status, residence, occupation, socioeconomic condition, or other contributing factors. Framework for Equitable Allocation of COVID-19 Vaccine offers an overarching framework for vaccine allocation to assist policy makers in the domestic and global health communities. Built on widely accepted foundational principles and recognizing the distinctive characteristics of COVID-19, this report's recommendations address the commitments needed to implement equitable allocation policies for COVID-19 vaccine.

Mathematics of Public Health

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Publisher : Springer Nature
ISBN 13 : 3031408055
Total Pages : 324 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Mathematics of Public Health by : Jummy David

Download or read book Mathematics of Public Health written by Jummy David and published by Springer Nature. This book was released on 2023-12-30 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume addresses SDG 3 from a mathematical standpoint, sharing novel perspectives of existing communicable disease modelling technologies of the next generation and disseminating new developments in modelling methodologies and simulation techniques. These methodologies are important for training and research in communicable diseases and can be applied to other threats to human health. The contributions contained in this collection/book cover a range of modelling techniques that have been and may be used to support decision-making on critical health related issues such as: Resource allocation Impact of climate change on communicable diseases Interaction of human behaviour change, and disease spread Disease outbreak trajectories projection Public health interventions evaluation Preparedness and mitigation of emerging and re-emerging infectious diseases outbreaks Development of vaccines and decisions around vaccine allocation and optimization The diseases and public health issues in this volume include, but are not limited to COVID-19, HIV, Influenza, antimicrobial resistance (AMR), the opioid epidemic, Lyme Disease, Zika, and Malaria. In addition, this volume compares compartmental models, agent-based models, machine learning and network. Readers have an opportunity to learn from the next generation perspective of evolving methodologies and algorithms in modelling infectious diseases, the mathematics behind them, the motivation for them, and some applications to supporting critical decisions on prevention and control of communicable diseases. This volume was compiled from the weekly seminar series organized by the Mathematics for Public Health (MfPH) Next Generation Network. This network brings together the next generation of modellers from across Canada and the world, developing the latest mathematical models, modeling methodologies, and analytical and simulation tools for communicable diseases of global public health concerns. The weekly seminar series provides a unique forum for this network and their invited guest speakers to share their perspectives on the status and future directions of mathematics of public health.

Controlling Epidemics with Mathematical and Machine Learning Models

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Author :
Publisher : Engineering Science Reference
ISBN 13 : 9781799883456
Total Pages : 0 pages
Book Rating : 4.8/5 (834 download)

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Book Synopsis Controlling Epidemics with Mathematical and Machine Learning Models by : Abraham Varghese

Download or read book Controlling Epidemics with Mathematical and Machine Learning Models written by Abraham Varghese and published by Engineering Science Reference. This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The objective of this book is to make mathematical models for epidemical diseases, especially Covid-19, focusing on quarantine, isolation and vaccine effect for the control of the disease and providing simulation of the model to be done with the help of python/matlab"--