Share

Computational Modeling Of The Covid-19 Disease: Numerical Ode Analysis With R Programming

Download Computational Modeling Of The Covid-19 Disease: Numerical Ode Analysis With R Programming PDF Online Free

Author :
Release : 2020-06-16
Genre : Medical
Kind : eBook
Book Rating : 894/5 ( reviews)

GET EBOOK


Book Synopsis Computational Modeling Of The Covid-19 Disease: Numerical Ode Analysis With R Programming by : William E Schiesser

Download or read book Computational Modeling Of The Covid-19 Disease: Numerical Ode Analysis With R Programming written by William E Schiesser. This book was released on 2020-06-16. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Modeling of the COVID-19 Disease

Download Computational Modeling of the COVID-19 Disease PDF Online Free

Author :
Release : 2020
Genre : COVID-19 (Disease)
Kind : eBook
Book Rating : 887/5 ( reviews)

GET EBOOK


Book Synopsis Computational Modeling of the COVID-19 Disease by : William E. Schiesser

Download or read book Computational Modeling of the COVID-19 Disease written by William E. Schiesser. This book was released on 2020. Available in PDF, EPUB and Kindle. Book excerpt:

Numerical Modeling of COVID-19 Neurological Effects

Download Numerical Modeling of COVID-19 Neurological Effects PDF Online Free

Author :
Release : 2021-12-27
Genre : Mathematics
Kind : eBook
Book Rating : 982/5 ( reviews)

GET EBOOK


Book Synopsis Numerical Modeling of COVID-19 Neurological Effects by : William Schiesser

Download or read book Numerical Modeling of COVID-19 Neurological Effects written by William Schiesser. This book was released on 2021-12-27. Available in PDF, EPUB and Kindle. Book excerpt: Covid-19 is primarily a respiratory disease which results in impaired oxygenation of blood. The O2-deficient blood then moves through the body, and for the study in this book, the focus is on the blood flowing to the brain. The dynamics of blood flow along the brain capillaries and tissue is modeled as systems of ordinary and partial differential equations (ODE/PDEs). The ODE/PDE methodology is presented through a series of examples, 1. A basic one PDE model for O2 concentration in the brain capillary blood. 2. A two PDE model for O2 concentration in the brain capillary blood and in the brain tissue, with O2 transport across the blood brain barrier (BBB). 3. The two model extended to three PDEs to include the brain functional neuron cell density. Cognitive impairment could result from reduced neuron cell density in time and space (in the brain) that follows from lowered O2 concentration (hypoxia). The computer-based implementation of the example models is presented through routines coded (programmed) in R, a quality, open-source scientific computing system that is readily available from the Internet. Formal mathematics is minimized, e.g., no theorems and proofs. Rather, the presentation is through detailed examples that the reader/researcher/analyst can execute on modest computers. The PDE analysis is based on the method of lines (MOL), an established general algorithm for PDEs, implemented with finite differences. The routines are available from a download link so that the example models can be executed without having to first study numerical methods and computer coding. The routines can then be applied to variations and extensions of the blood/brain hypoxia models, such as changes in the ODE/PDE parameters (constants) and form of the model equations.

Covid-19 Unmasked: The News, The Science, And Common Sense

Download Covid-19 Unmasked: The News, The Science, And Common Sense PDF Online Free

Author :
Release : 2021-03-11
Genre : Medical
Kind : eBook
Book Rating : 616/5 ( reviews)

GET EBOOK


Book Synopsis Covid-19 Unmasked: The News, The Science, And Common Sense by : Winfried Just

Download or read book Covid-19 Unmasked: The News, The Science, And Common Sense written by Winfried Just. This book was released on 2021-03-11. Available in PDF, EPUB and Kindle. Book excerpt: How can we keep up with the deluge of information about COVID-19 and tell which parts are most important and trustworthy?We read: 'Scientists recommend', 'Experts warn', 'A new model predicts'. How do scientific experts come up with their recommendations? What do their predictions really mean for us, for our friends, and our families?How can we make rational decisions? And how can we have sensible conversations about the pandemic when we disagree?These are the questions that this book is trying to address.It is written in the form of dialogues. Alice, a student of epidemiology, explains the science to three of her fellow students who have a lot of questions for her. The students have the same concerns that we all share to varying degrees: What the pandemic is doing to our health, our economy, and our cherished freedoms. In their conversations, they discover how the science relates to these questions.The book focuses on epidemiology, the science of how infections spread and how the spread can be mitigated. The science of how many infections can be prevented by certain kinds of actions. This is what we need to understand if we want to act wisely, as individuals and as a society.The author's goal is to help the reader think about the COVID-19 pandemic like an epidemiologist. About the various preventive measures, what they are trying to accomplish, what the obstacles are. About what is likely to be most effective in the long run at moderate economic and personal cost. About the likely consequences of personal decisions. About how to best protect oneself and others while allowing all of us to lead lives that are as close as possible to normal.While some chapters present slightly more advanced material than others, no scientific background is needed to follow the conversations. The technical concepts are explained in small steps and the occasional calculations in the book require only high-school mathematics.Related Link(s)

Computational Epidemiology

Download Computational Epidemiology PDF Online Free

Author :
Release : 2021-09-22
Genre : Technology & Engineering
Kind : eBook
Book Rating : 905/5 ( reviews)

GET EBOOK


Book Synopsis Computational Epidemiology by : Ellen Kuhl

Download or read book Computational Epidemiology written by Ellen Kuhl. This book was released on 2021-09-22. 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.

You may also like...