Coronavirus And Disease Modeling
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Coronavirus And Disease Modeling
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Author : Peter C. Earle
language : en
Publisher: American Institute for Economic Research
Release Date : 2020-08-21
Coronavirus And Disease Modeling written by Peter C. Earle and has been published by American Institute for Economic Research this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-21 with Medical categories.
We shut down our schools, sports, theaters, bars, restaurants, and churches—government ignored the rule of law and put individual rights on hold—but it is more than obvious now that this was all a huge distraction. The focus should have been on the aged with underlying conditions living in nursing homes. The models nowhere included what ended up being our reality, even though that reality was upon us as early as February when people in nursing homes began to die in Washington State. We should have seen it long before the lockdowns began. Now the modelers in the epidemiological profession need to learn what the economists figured out long ago: Human life is too complex to be accurately modeled, much less predicted. This book includes contributions from: Phillip W. Magness James L. Caton Jeffrey Tucker John Tamny Gregory van Kipnis Robert E. Wright George Gilder Peter C. Earle Edward P. Stringham Stephen C. Miller Fiona Harrigan Donald J. Boudreaux Ethan Yang David Hart The American Institute for Economic Research in Great Barrington, Massachusetts, was founded in 1933 as the first independent voice for sound economics in the United States. Today it publishes ongoing research, hosts educational programs, publishes books, sponsors interns and scholars, and is home to the world-renowned Bastiat Society and the highly respected Sound Money Project. The American Institute for Economic Research is a 501c3 public charity.
Computational Modeling Of The Covid 19 Disease Numerical Ode Analysis With R Programming
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Author : William E Schiesser
language : en
Publisher: World Scientific
Release Date : 2020-06-16
Computational Modeling Of The Covid 19 Disease Numerical Ode Analysis With R Programming written by William E Schiesser and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-16 with Medical categories.
The book is intended for readers who are interested in learning about the use of computer-based modelling of the COVID-19 disease. It provides a basic introduction to a five-ordinary differential equation (ODE) model by providing a complete statement of the model, including a detailed discussion of the ODEs, initial conditions and parameters, followed by a line-by-line explanation of a set of R routines (R is a quality, scientific programming system readily available from the Internet). The reader can access and execute these routines without having to first study numerical algorithms and computer coding (programming) and can perform numerical experimentation with the model on modest computers.
Modeling Control And Drug Development For Covid 19 Outbreak Prevention
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Author : Ahmad Taher Azar
language : en
Publisher: Springer Nature
Release Date : 2021-11-01
Modeling Control And Drug Development For Covid 19 Outbreak Prevention written by Ahmad Taher Azar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-01 with Computers categories.
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.
Covid Transmission Modeling
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Author : DM Basavarajaiah
language : en
Publisher: CRC Press
Release Date : 2022-06-28
Covid Transmission Modeling written by DM Basavarajaiah and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-28 with Mathematics categories.
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.
Coronavirus Disease 19 Covid 19 Different Models And Treatment Strategies
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Author : Kamal Niaz
language : en
Publisher: Bentham Science Publishers
Release Date : 2021-11-01
Coronavirus Disease 19 Covid 19 Different Models And Treatment Strategies written by Kamal Niaz and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-01 with Medical categories.
In this book volume-2 proposal has been classified into Part IV: Models for SARS-CoV-2 and Part V: Treatment Strategies for SARS-CoV-2. With the emergence of new coronavirus variants, epidemiology, different host tropism permits a thorough analysis of their evolution and acquired adaptability to their host which need different animal models and treatment approaches. No studies are complete without animal models closely related to human physiology to replicate the disease and observe the pathology conditions as in human cases. Such animal models play a vital role in virus pathogenesis and prepare a therapeutic immune response. Here describe bio-engineered transgenic mouse model inserting with specific genes, or CRISPR-Case9 gene-editing tool has been used previously for SARS-CoV and MERS-CoV. The chapter will deal with culture techniques or cell lines for COVID-19—also histopathology of COVID-19, essential proteins that up or down-regulate SARS-CoV-2. The last chapter of this part will describe other diseases having similar signs and symptoms and their differentiation. There is no specific treatment available to date, just symptomatic therapy. However, scientists will elucidate effective antiviral drugs in clinical trials, phytochemicals, photomedicine such as ultraviolet A & B, homemade remedies, blood plasma transfusion, stem cell therapy, and computational approaches in vivo and in vitro trials. This book will appear as a baseline for academicians, scientists, and health professionals as still, research is going to overcome this outbreak of COVID-19, the novelty of best animal models, and find an effective treatment. However, just a single book proposal like this wouldn't have flourished without enthusiasm and determined publishers' and investigators' strength to take time from their busy schedule and subsidize on time. We thank the whole investigators who contributed, directly and indirectly, to bring it to reality.
Modeling Of Covid 19 And Other Infectious Diseases Mathematical Statistical And Biophysical Analysis Of Spread Patterns
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Author : Omar El Deeb
language : en
Publisher: Frontiers Media SA
Release Date : 2023-04-24
Modeling Of Covid 19 And Other Infectious Diseases Mathematical Statistical And Biophysical Analysis Of Spread Patterns written by Omar El Deeb and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-24 with Science categories.
Computational Modeling Of The Covid 19 Disease
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Author : William E. Schiesser
language : en
Publisher:
Release Date : 2020
Computational Modeling Of The Covid 19 Disease written by William E. Schiesser and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with COVID-19 (Disease) categories.
Covid 19 Epidemiology And Virus Dynamics
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Author : Till D. Frank
language : en
Publisher: Springer Nature
Release Date : 2022-03-30
Covid 19 Epidemiology And Virus Dynamics written by Till D. Frank and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-30 with Science categories.
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.
Computational Modeling And Data Analysis In Covid 19 Research
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Author : Chhabi Rani Panigrahi
language : en
Publisher: CRC Press
Release Date : 2021-05-09
Computational Modeling And Data Analysis In Covid 19 Research written by Chhabi Rani Panigrahi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-09 with Medical categories.
This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as artificial intelligence (AI) and machine learning (ML), techniques for data analysis, this book will be helpful to mitigate exposure and ensure public health. We know prevention is better than cure, so by using several ML techniques, researchers can try to predict the disease in its early stage and develop more effective medications and treatments. Computational technologies in areas like AI, ML, Internet of Things (IoT), and drone technologies underlie a range of applications that can be developed and utilized for this purpose. Because in most cases there is no one solution to stop the spreading of pandemic diseases, and the integration of several tools and tactics are needed. Many successful applications of AI, ML, IoT, and drone technologies already exist, including systems that analyze past data to predict and conclude some useful information for controlling the spread of COVID-19 infections using minimum resources. The AI and ML approach can be helpful to design different models to give a predictive solution for mitigating infection and preventing larger outbreaks. This book: Examines the use of artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and drone technologies as a helpful predictive solution for controlling infection of COVID-19 Covers recent research related to the COVID-19 pandemic and includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle a pandemic outbreak Examines the performance, implementation, architecture, and techniques of different analytical and statistical models related to COVID-19 Includes different case studies on COVID-19 Dr. Chhabi Rani Panigrahi is Assistant Professor in the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Bibudhendu Pati is Associate Professor and Head of the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Mamata Rath is Assistant Professor in the School of Management (Information Technology) at Birla Global University, Bhubaneswar, India. Prof. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia.
Computational Epidemiology
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Author : Ellen Kuhl
language : en
Publisher: Springer Nature
Release Date : 2021-09-22
Computational Epidemiology written by Ellen Kuhl and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-22 with Technology & Engineering categories.
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.