Covid 19 Epidemiology And Virus Dynamics

Author : Till D. Frank
Publisher : Springer Nature
ISBN 13 : 3030971783
Total Pages : 367 pages
Book Rating : 4.86/5 ( download)

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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.

Author : Santo Banerjee
Publisher : CRC Press
ISBN 13 : 1003822630
Total Pages : 268 pages
Book Rating : 4.39/5 ( download)

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Download or read book Fractal Signatures in the Dynamics of an Epidemiology written by Santo Banerjee and published by CRC Press. This book was released on 2023-12-01 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 13 : 3030965627
Total Pages : 314 pages
Book Rating : 4.24/5 ( download)

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Download or read book Predicting Pandemics in a Globally Connected World, Volume 1 written by Nicola Bellomo and published by Springer Nature. This book was released on 2022-09-22 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Joshua S. Weitz
Publisher : JHU Press
ISBN 13 : 1421450496
Total Pages : 0 pages
Book Rating : 4.90/5 ( download)

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Download or read book Asymptomatic written by Joshua S. Weitz and published by JHU Press. This book was released on 2024-10-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Thomas Rawson
Publisher : Frontiers Media SA
ISBN 13 : 2832524990
Total Pages : 815 pages
Book Rating : 4.92/5 ( download)

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Download or read book Coronavirus Disease (COVID-19): Pathophysiology, Epidemiology, Clinical Management and Public Health Response, Volume II (volume I.B) written by Thomas Rawson and published by Frontiers Media SA. This book was released on 2023-05-31 with total page 815 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Fred Brauer
Publisher : Springer Science & Business Media
ISBN 13 : 3540789103
Total Pages : 415 pages
Book Rating : 4.09/5 ( download)

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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).

Author : Thomas Rawson
Publisher : Frontiers Media SA
ISBN 13 : 2889764656
Total Pages : 771 pages
Book Rating : 4.55/5 ( download)

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Download or read book Coronavirus Disease (COVID-19): Pathophysiology, Epidemiology, Clinical Management and Public Health Response, Volume II (volume I.A) written by Thomas Rawson and published by Frontiers Media SA. This book was released on 2023-05-31 with total page 771 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Praveen Agarwal
Publisher : Academic Press
ISBN 13 : 0323904580
Total Pages : 346 pages
Book Rating : 4.82/5 ( download)

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Download or read book Mathematical Analysis of Infectious Diseases written by Praveen Agarwal and published by Academic Press. This book was released on 2022-06-01 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 13 : 9783030828912
Total Pages : 0 pages
Book Rating : 4.13/5 ( download)

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Download or read book Computational Epidemiology written by Ellen Kuhl and published by . This book was released on 2021 with total page 0 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.

Author : Lajos Horváth
Publisher : Springer Science & Business Media
ISBN 13 : 1461436559
Total Pages : 426 pages
Book Rating : 4.53/5 ( download)

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Download or read book Inference for Functional Data with Applications written by Lajos Horváth and published by Springer Science & Business Media. This book was released on 2012-05-08 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recently developed statistical methods and theory required for the application of the tools of functional data analysis to problems arising in geosciences, finance, economics and biology. It is concerned with inference based on second order statistics, especially those related to the functional principal component analysis. While it covers inference for independent and identically distributed functional data, its distinguishing feature is an in depth coverage of dependent functional data structures, including functional time series and spatially indexed functions. Specific inferential problems studied include two sample inference, change point analysis, tests for dependence in data and model residuals and functional prediction. All procedures are described algorithmically, illustrated on simulated and real data sets, and supported by a complete asymptotic theory. The book can be read at two levels. Readers interested primarily in methodology will find detailed descriptions of the methods and examples of their application. Researchers interested also in mathematical foundations will find carefully developed theory. The organization of the chapters makes it easy for the reader to choose an appropriate focus. The book introduces the requisite, and frequently used, Hilbert space formalism in a systematic manner. This will be useful to graduate or advanced undergraduate students seeking a self-contained introduction to the subject. Advanced researchers will find novel asymptotic arguments.