Covid Transmission Modelling

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COVID Transmission Modeling

Author : DM Basavarajaiah
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.

COVID Transmission Modelling

Author : D. M. Basavarajaiah
Publisher : Chapman & Hall/CRC
ISBN 13 : 9781003204794
Total Pages : 364 pages
Book Rating : 4.2/5 (47 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 Chapman & Hall/CRC. This book was released on 2022 with total page 364 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 Epidemiology

Author : Fred Brauer
Publisher : Springer Science & Business Media
ISBN 13 : 3540789103
Total Pages : 415 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Mathematical Epidemiology by : Fred Brauer

Download or read book Mathematical Epidemiology written by Fred Brauer and published by Springer Science & Business Media. This book was released on 2008-04-30 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on lecture notes of two summer schools with a mixed audience from mathematical sciences, epidemiology and public health, this volume offers a comprehensive introduction to basic ideas and techniques in modeling infectious diseases, for the comparison of strategies to plan for an anticipated epidemic or pandemic, and to deal with a disease outbreak in real time. It covers detailed case studies for diseases including pandemic influenza, West Nile virus, and childhood diseases. Models for other diseases including Severe Acute Respiratory Syndrome, fox rabies, and sexually transmitted infections are included as applications. Its chapters are coherent and complementary independent units. In order to accustom students to look at the current literature and to experience different perspectives, no attempt has been made to achieve united writing style or unified notation. Notes on some mathematical background (calculus, matrix algebra, differential equations, and probability) have been prepared and may be downloaded at the web site of the Centre for Disease Modeling (www.cdm.yorku.ca).

Mathematical Analysis for Transmission of COVID-19

Author : Nita H. Shah
Publisher :
ISBN 13 : 9789813362659
Total Pages : 0 pages
Book Rating : 4.3/5 (626 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 . This book was released on 2021 with total page 0 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 Analysis for Transmission of COVID-19

Author : Nita H. Shah
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.

Modeling Infectious Diseases in Humans and Animals

Author : Matt J. Keeling
Publisher : Princeton University Press
ISBN 13 : 1400841038
Total Pages : 385 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis Modeling Infectious Diseases in Humans and Animals by : Matt J. Keeling

Download or read book Modeling Infectious Diseases in Humans and Animals written by Matt J. Keeling and published by Princeton University Press. This book was released on 2011-09-19 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: For epidemiologists, evolutionary biologists, and health-care professionals, real-time and predictive modeling of infectious disease is of growing importance. This book provides a timely and comprehensive introduction to the modeling of infectious diseases in humans and animals, focusing on recent developments as well as more traditional approaches. Matt Keeling and Pejman Rohani move from modeling with simple differential equations to more recent, complex models, where spatial structure, seasonal "forcing," or stochasticity influence the dynamics, and where computer simulation needs to be used to generate theory. In each of the eight chapters, they deal with a specific modeling approach or set of techniques designed to capture a particular biological factor. They illustrate the methodology used with examples from recent research literature on human and infectious disease modeling, showing how such techniques can be used in practice. Diseases considered include BSE, foot-and-mouth, HIV, measles, rubella, smallpox, and West Nile virus, among others. Particular attention is given throughout the book to the development of practical models, useful both as predictive tools and as a means to understand fundamental epidemiological processes. To emphasize this approach, the last chapter is dedicated to modeling and understanding the control of diseases through vaccination, quarantine, or culling. Comprehensive, practical introduction to infectious disease modeling Builds from simple to complex predictive models Models and methodology fully supported by examples drawn from research literature Practical models aid students' understanding of fundamental epidemiological processes For many of the models presented, the authors provide accompanying programs written in Java, C, Fortran, and MATLAB In-depth treatment of role of modeling in understanding disease control

Mathematical and Computational Modelling of Covid-19 Transmission

Author : Mandeep Mittal
Publisher :
ISBN 13 : 9788770228305
Total Pages : 0 pages
Book Rating : 4.2/5 (283 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 . This book was released on 2023 with total page 0 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, and also forced to live with a disability. Mathematical models are effective tools that enable analyzing relevant information, simulate the related process and evaluate beneficial results. They can help to make rational decisions towards 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.

The Rules of Contagion

Author : Adam Kucharski
Publisher : Profile Books
ISBN 13 : 1782834303
Total Pages : 302 pages
Book Rating : 4.7/5 (828 download)

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Book Synopsis The Rules of Contagion by : Adam Kucharski

Download or read book The Rules of Contagion written by Adam Kucharski and published by Profile Books. This book was released on 2020-02-13 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Observer Book of the Year A Times Science Book of the Year A New Statesman Book of the Year A Financial Times Science Book of the Year 'Astonishingly bold' Daily Mail 'It is hard to imagine a more timely book ... much of the modern world will make more sense having read it.' The Times We live in a world that's more interconnected than ever before. Our lives are shaped by outbreaks - of disease, of misinformation, even of violence - that appear, spread and fade away with bewildering speed. To understand them, we need to learn the hidden laws that govern them. From 'superspreaders' who might spark a pandemic or bring down a financial system to the social dynamics that make loneliness catch on, The Rules of Contagion offers compelling insights into human behaviour and explains how we can get better at predicting what happens next. Along the way, Adam Kucharski explores how innovations spread through friendship networks, what links computer viruses with folk stories - and why the most useful predictions aren't necessarily the ones that come true. Now revised and updated with content on Covid-19.

Epidemic Models

Author : Denis Mollison
Publisher : Cambridge University Press
ISBN 13 : 9780521475365
Total Pages : 458 pages
Book Rating : 4.4/5 (753 download)

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Book Synopsis Epidemic Models by : Denis Mollison

Download or read book Epidemic Models written by Denis Mollison and published by Cambridge University Press. This book was released on 1995-07-13 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: Surveys the state of epidemic modelling, resulting from the NATO Advanced Workshop at the Newton Institute in 1993.

Modeling, Control and Drug Development for COVID-19 Outbreak Prevention

Author : Ahmad Taher Azar
Publisher : Springer
ISBN 13 : 9783030728366
Total Pages : 0 pages
Book Rating : 4.7/5 (283 download)

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Book Synopsis Modeling, Control and Drug Development for COVID-19 Outbreak Prevention by : Ahmad Taher Azar

Download or read book Modeling, Control and Drug Development for COVID-19 Outbreak Prevention written by Ahmad Taher Azar and published by Springer. This book was released on 2022-11-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is well-structured book which consists of 31 full chapters. The book chapters' deal with the recent research problems in the areas of modeling, control and drug development, and it presents various techniques of COVID-19 outbreak prevention modeling. The book also concentrates on computational simulations that may help speed up the development of drugs to counter the novel coronavirus responsible for COVID-19. This is an open access book.

Modeling of COVID-19 and Other Infectious Diseases: Mathematical, Statistical and Biophysical Analysis of Spread Patterns

Author : Omar El Deeb
Publisher : Frontiers Media SA
ISBN 13 : 283252138X
Total Pages : 116 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Modeling of COVID-19 and Other Infectious Diseases: Mathematical, Statistical and Biophysical Analysis of Spread Patterns by : Omar El Deeb

Download or read book Modeling of COVID-19 and Other Infectious Diseases: Mathematical, Statistical and Biophysical Analysis of Spread Patterns written by Omar El Deeb and published by Frontiers Media SA. This book was released on 2023-04-24 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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

Author : Hui-Jia Li
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:

Mathematics of Public Health

Author : V. Kumar Murty
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.

COVID-19 Epidemiology and Virus Dynamics

Author : Till D. Frank
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.

Global COVID-19 Research and Modeling

Author : Longbing Cao
Publisher : Springer Nature
ISBN 13 : 9819999154
Total Pages : 409 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Global COVID-19 Research and Modeling by : Longbing Cao

Download or read book Global COVID-19 Research and Modeling written by Longbing Cao and published by Springer Nature. This book was released on with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Exploring Susceptible-Infectious-Recovered (SIR) Model for COVID-19 Investigation

Author : Rahul Saxena
Publisher : Springer Nature
ISBN 13 : 9811941750
Total Pages : 63 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Exploring Susceptible-Infectious-Recovered (SIR) Model for COVID-19 Investigation by : Rahul Saxena

Download or read book Exploring Susceptible-Infectious-Recovered (SIR) Model for COVID-19 Investigation written by Rahul Saxena and published by Springer Nature. This book was released on 2022-09-02 with total page 63 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on mathematical modelling of COVID-19 pandemic using the Susceptible, Infectious, and Recovered (SIR) model. The predictive modelling of the disease, with the exact facts and figures, provides a ground to reason about growing trends and its future trajectory. The book emphasizes on how the pandemic actually spreads out, lockdown impact analysis, and future course of actions based on mathematical calculations. Moreover, since COVID-19 spread outburst has been twice, the intensity studies and comparative analysis of the two waves of COVID-19 are another interesting feature of the book content. The book is a knowledge base for various researchers and academicians to dive into the detailing of the COVID spread (mathematical) model and understand how it could be explored to draw outcomes. To represent the factual information and analytical results effectively, graphical and diagrammatic representations have been appended at appropriate places. To keep the explanation simple and yet concrete, mathematical concepts have also been introduced; to carry out analysis to generate results for understanding the viral dynamics.

Modeling, Control and Drug Development for COVID-19 Outbreak Prevention

Author : Ahmad Taher Azar
Publisher : Springer Nature
ISBN 13 : 303072834X
Total Pages : 1115 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Modeling, Control and Drug Development for COVID-19 Outbreak Prevention by : Ahmad Taher Azar

Download or read book Modeling, Control and Drug Development for COVID-19 Outbreak Prevention written by Ahmad Taher Azar and published by Springer Nature. This book was released on 2021-11-01 with total page 1115 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is well-structured book which consists of 31 full chapters. The book chapters' deal with the recent research problems in the areas of modeling, control and drug development, and it presents various techniques of COVID-19 outbreak prevention modeling. The book also concentrates on computational simulations that may help speed up the development of drugs to counter the novel coronavirus responsible for COVID-19. This is an open access book.