COVID-19 Epidemiology and Virus Dynamics PDF Download

Author: Till D. Frank
Publisher: Springer Nature
ISBN: 3030971783
Category : Science
Languages : en
Pages : 367

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Book Description
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.

Author: Emilia Vynnycky
Publisher: Oxford University Press
ISBN: 0198565763
Category : Language Arts & Disciplines
Languages : en
Pages : 401

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Book Description
Mathematical models are increasingly used to guide public health policy decisions and explore questions in infectious disease control. Written for readers without advanced mathematical skills, this book provides an introduction to this area.

Author: Santo Banerjee
Publisher: CRC Press
ISBN: 1003822630
Category : Science
Languages : en
Pages : 268

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Book Description
The recent Covid-19 pandemic threw the world into complete chaos with its rapid and devastating spread. Scientists are still trying to obtain a better understanding of the patterns of COVID-19 and trying to get a deeper understanding of mutant strains and their pathogenicity by performing genomic sequences of more samples. Fractal-based analysis provides its unique forecasting policy to reduce the spread of COVID-19, and in general, of any outbreaks. The book presents fractal and multifractal models of COVID-19 and reviews the impact of the pandemic including epidemiology, genome organization, transmission cycle, and control strategies based on mathematical models towards developing an immune intervention. Also, it covers non-clinical aspects such as economic development with graphical illustrations, meeting the needs of onlookers outside the sector who desire additional information on the epidemic. The fractal signatures describe the fractal textures in the patterns of Corona virus. Studies on the epidemiology of Covid-19 in relation with the fractals and fractal functions serve to exhibit its irregular chaotic nature. Moreover, the book with its wide coverage on the Hurst exponent analysis and the fractal dimension estimation, greatly aids in measuring the epidemiology.

Author: Nicola Bellomo
Publisher: Springer Nature
ISBN: 3030965627
Category : Mathematics
Languages : en
Pages : 314

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Book Description
This contributed volume investigates several mathematical techniques for the modeling and simulation of viral pandemics, with a special focus on COVID-19. Modeling a pandemic requires an interdisciplinary approach with other fields such as epidemiology, virology, immunology, and biology in general. Spatial dynamics and interactions are also important features to be considered, and a multiscale framework is needed at the level of individuals and the level of virus particles and the immune system. Chapters in this volume address these items, as well as offer perspectives for the future.

Author: Thomas Rawson
Publisher: Frontiers Media SA
ISBN: 2832524990
Category : Medical
Languages : en
Pages : 815

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Book Description
Almost nine months since the first recorded case, the novel betacoronovirus; severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has now passed 18 million confirmed cases. The multi-disciplinary work of researchers worldwide has provided a far deeper understanding of COVID-19 pathogenesis, clinical treatment and outcomes, lethality, disease-spread dynamics, period of infectivity, containment interventions, as well as providing a wealth of relevant epidemiological data. With 27 vaccines currently undergoing human trials, and countries worldwide continuing to battle case numbers, or prepare for resurgences, the need for efficient, high-quality pipelines for peer-reviewed research remains as crucial as ever.

Author: Sasan Adibi
Publisher: Springer Nature
ISBN: 3031080459
Category : Medical
Languages : en
Pages : 667

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Book Description
This book aims to serve the critical interests of the global community by supplying the most current knowledge and understanding of Covid-19 epidemiology, treatment, and prognoses. There was much uncertain and contradictory information published in the first year of the novel coronavirus. The dynamics of COVID-19 have now been realized, including the type of antibodies produced in infected patients and their limited lasting endurance. This book will set the record straight on the concept of “herd immunity” and explore the current vaccine trials taking place in different countries. This comprehensive book will illuminate recent advances regarding COVID-19 and offer a possible roadmap on how to move forward. Frontiers of COVID-19: A Pathophysiology and Epidemiology Roadmap of Novel Coronavirus Disease will be a vital and forward-looking guide for infectious disease clinicians, scientists and researchers, and students at the graduate level.

Author: Thomas Rawson
Publisher: Frontiers Media SA
ISBN: 2889764656
Category : Medical
Languages : en
Pages : 771

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Book Description
Almost nine months since the first recorded case, the novel betacoronovirus; severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has now passed 18 million confirmed cases. The multi-disciplinary work of researchers worldwide has provided a far deeper understanding of COVID-19 pathogenesis, clinical treatment and outcomes, lethality, disease-spread dynamics, period of infectivity, containment interventions, as well as providing a wealth of relevant epidemiological data. With 27 vaccines currently undergoing human trials, and countries worldwide continuing to battle case numbers, or prepare for resurgences, the need for efficient, high-quality pipelines for peer-reviewed research remains as crucial as ever.

Author: Joshua S. Weitz
Publisher: JHU Press
ISBN: 1421450496
Category : Medical
Languages : en
Pages : 0

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Book Description
The riveting account of how asymptomatic transmission drove COVID-19's global spread and catalyzed interventions to control it. Why was COVID-19 so difficult to contain and so devastating to people and economies worldwide? In Asymptomatic, author Joshua S. Weitz explains how silent transmission enabled COVID-19's massive and tragic global impact. Weaving the science of viral infections together with an insider's look at response efforts, Weitz guides readers through the shockwaves of successive epidemic waves as public health officials and academic research teams confronted the rise and risk of what was then a burgeoning global pandemic. The discovery of asymptomatic spread also fueled competing narratives: either COVID-19 was about to dissipate as quickly as it had emerged or completely disrupt life as we knew it. Weitz, a physicist-turned-biologist who directs a quantitative viral dynamics research group and has been immersed in COVID-19 response efforts, explains both why and how scientists tried to wade through competing narratives and warn the public of COVID-19's profound risk. As explored through a careful analysis of local outbreaks, accessible descriptions of virus dynamics, and the use of predictive models to guide response efforts, Asymptomatic provides readers a unique look into the secret ingredient that allowed COVID-19 to spread across borders and the high-impact interventions needed to fight it and future pandemics.

Author: Praveen Agarwal
Publisher: Academic Press
ISBN: 0323904580
Category : Science
Languages : en
Pages : 346

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Book Description
Mathematical Analysis of Infectious Diseases updates on the mathematical and epidemiological analysis of infectious diseases. Epidemic mathematical modeling and analysis is important, not only to understand disease progression, but also to provide predictions about the evolution of disease. One of the main focuses of the book is the transmission dynamics of the infectious diseases like COVID-19 and the intervention strategies. It also discusses optimal control strategies like vaccination and plasma transfusion and their potential effectiveness on infections using compartmental and mathematical models in epidemiology like SI, SIR, SICA, and SEIR. The book also covers topics like: biodynamic hypothesis and its application for the mathematical modeling of biological growth and the analysis of infectious diseases, mathematical modeling and analysis of diagnosis rate effects and prediction of viruses, data-driven graphical analysis of epidemic trends, dynamic simulation and scenario analysis of the spread of diseases, and the systematic review of the mathematical modeling of infectious disease like coronaviruses. Offers analytical and numerical techniques for virus models Discusses mathematical modeling and its applications in treating infectious diseases or analyzing their spreading rates Covers the application of differential equations for analyzing disease problems Examines probability distribution and bio-mathematical applications

Author: Ellen Kuhl
Publisher:
ISBN: 9783030828912
Category :
Languages : en
Pages : 0

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Book Description
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.