Bayesian analysis of infectious diseases, Broemeling, Lyle D. (broemeling And Associates Inc., Usa.)
Автор: Anthony A. Nash, Robert G. Dalziel, J.Ross Fitzger Название: Mims` Pathogenesis of Infectious Disease, 6 ed. ISBN: 0123971888 ISBN-13(EAN): 9780123971883 Издательство: Elsevier Science Рейтинг: Цена: 36150.00 T Наличие на складе: Есть Описание: Mims' Pathogenesis of Infectious Disease is the landmark book in the field of infectious disease. The new, revised edition of this work provides a comprehensive, up-to-date description of the mechanisms of microbial infection and the pathogenesis of infectious disease. Presented in a clear, accessible style, it deals in an integrated manner with the spectrum of microorganisms, describing the factors common to all infectious diseases. Molecular biology, pathology, and immunology are brought together to explain the mechanisms for spread, immune response, and recovery.
Describes the origin and molecular biology of pandemic influenza, HIV1, and HIV2 as well as the recent work on papillomaviruses, herpesviruses, BSE, and variant CJD
Contains the latest data on tuberculosis, microbial evasion of immune defenses, and the spread of antibiotic resistance genes among bacteria
Provides an update on vaccines, prions, immune evasion, and microbial ligands and receptors
Gives an up-to-date picture of the global burden of infectious diseases
Автор: Cliff Andrew, Smallman-Raynor Matthew Название: Oxford Textbook of Infectious Disease Control: A Geographical Analysis from Medieval Quarantine to Global Eradication ISBN: 0199596611 ISBN-13(EAN): 9780199596614 Издательство: Oxford Academ Рейтинг: Цена: 44350.00 T Наличие на складе: Есть Описание: The Control of Epidemic Communicable Diseases in Humans discusses the issues of geographical spread of human communicable diseases. Split into six chapters it tackles surveillance, quarantine, vaccination, and forecasting for disease control. A wide selection of representative maps and diagrams are used to illustrate the ideas explored.
Автор: Ugarte Maria Dolores Название: Probability and Statistics with R ISBN: 1466504390 ISBN-13(EAN): 9781466504394 Издательство: Taylor&Francis Рейтинг: Цена: 50160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Cohesively Incorporates Statistical Theory with R Implementation
Since the publication of the popular first edition of this comprehensive textbook, the contributed R packages on CRAN have increased from around 1,000 to over 6,000. Designed for an intermediate undergraduate course, Probability and Statistics with R, Second Edition explores how some of these new packages make analysis easier and more intuitive as well as create more visually pleasing graphs.
New to the Second Edition
Improvements to existing examples, problems, concepts, data, and functions
New examples and exercises that use the most modern functions
Coverage probability of a confidence interval and model validation
Highlighted R code for calculations and graph creation
Gets Students Up to Date on Practical Statistical Topics
Keeping pace with today's statistical landscape, this textbook expands your students' knowledge of the practice of statistics. It effectively links statistical concepts with R procedures, empowering students to solve a vast array of real statistical problems with R.
Web Resources
A supplementary website offers solutions to odd exercises and templates for homework assignments while the data sets and R functions are available on CRAN.
Автор: Ghahramani Название: Fndmntls Of Probability 4E ISBN: 1498755097 ISBN-13(EAN): 9781498755092 Издательство: Taylor&Francis Рейтинг: Цена: 112290.00 T Наличие на складе: Нет в наличии. Описание: Covers topics used in a calculus-based junior-senior probability course. It can also be used as a text for a second course in probability. The historical roots and applications of many of the theorems and definitions are presented in detail, accompanied by suitable examples or counterexamples.
Автор: Broemeling, Lyle D. Название: Bayesian analysis of infectious diseases ISBN: 0367633868 ISBN-13(EAN): 9780367633868 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Bayesian Analysis of Infectious Diseases -COVID-19 and Beyond shows how the Bayesian approach can be used to analyze the evolutionary behavior of infectious diseases, including the coronavirus pandemic.
Автор: Asimakopoulou Eleana, Bessis Nik Название: Data Science Advancements in Pandemic and Outbreak Management ISBN: 1799867366 ISBN-13(EAN): 9781799867364 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 239310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Pandemics are disruptive. Thus, there is a need to prepare and plan actions in advance for identifying, assessing, and responding to such events to manage uncertainty and support sustainable livelihood and wellbeing. A detailed assessment of a continuously evolving situation needs to take place, and several aspects must be brought together and examined before the declaration of a pandemic even happens. Various health organizations; crisis management bodies; and authorities at local, national, and international levels are involved in the management of pandemics. There is no better time to revisit current approaches to cope with these new and unforeseen threats. As countries must strike a fine balance between protecting health, minimizing economic and social disruption, and respecting human rights, there has been an emerging interest in lessons learned and specifically in revisiting past and current pandemic approaches. Such approaches involve strategies and practices from several disciplines and fields including healthcare, management, IT, mathematical modeling, and data science. Using data science to advance in-situ practices and prompt future directions could help alleviate or even prevent human, financial, and environmental compromise, and loss and social interruption via state-of-the-art technologies and frameworks.
Data Science Advancements in Pandemic and Outbreak Management demonstrates how strategies and state-of-the-art IT have and/or could be applied to serve as the vehicle to advance pandemic and outbreak management. The chapters will introduce both technical and non-technical details of management strategies and advanced IT, data science, and mathematical modelling and demonstrate their applications and their potential utilization within the identification and management of pandemics and outbreaks. It also prompts revisiting and critically reviewing past and current approaches, identifying good and bad practices, and further developing the area for future adaptation. This book is ideal for data scientists, data analysts, infectious disease experts, researchers studying pandemics and outbreaks, IT, crisis and disaster management, academics, practitioners, government officials, and students interested in applicable theories and practices in data science to mitigate, prepare for, respond to, and recover from future pandemics and outbreaks.
Автор: Asimakopoulou Eleana, Bessis Nik Название: Data Science Advancements in Pandemic and Outbreak Management ISBN: 1799867374 ISBN-13(EAN): 9781799867371 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 181110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Pandemics are disruptive. Thus, there is a need to prepare and plan actions in advance for identifying, assessing, and responding to such events to manage uncertainty and support sustainable livelihood and wellbeing. A detailed assessment of a continuously evolving situation needs to take place, and several aspects must be brought together and examined before the declaration of a pandemic even happens. Various health organizations; crisis management bodies; and authorities at local, national, and international levels are involved in the management of pandemics. There is no better time to revisit current approaches to cope with these new and unforeseen threats. As countries must strike a fine balance between protecting health, minimizing economic and social disruption, and respecting human rights, there has been an emerging interest in lessons learned and specifically in revisiting past and current pandemic approaches. Such approaches involve strategies and practices from several disciplines and fields including healthcare, management, IT, mathematical modeling, and data science. Using data science to advance in-situ practices and prompt future directions could help alleviate or even prevent human, financial, and environmental compromise, and loss and social interruption via state-of-the-art technologies and frameworks.
Data Science Advancements in Pandemic and Outbreak Management demonstrates how strategies and state-of-the-art IT have and/or could be applied to serve as the vehicle to advance pandemic and outbreak management. The chapters will introduce both technical and non-technical details of management strategies and advanced IT, data science, and mathematical modelling and demonstrate their applications and their potential utilization within the identification and management of pandemics and outbreaks. It also prompts revisiting and critically reviewing past and current approaches, identifying good and bad practices, and further developing the area for future adaptation. This book is ideal for data scientists, data analysts, infectious disease experts, researchers studying pandemics and outbreaks, IT, crisis and disaster management, academics, practitioners, government officials, and students interested in applicable theories and practices in data science to mitigate, prepare for, respond to, and recover from future pandemics and outbreaks.
Автор: Joseph K. Blitzstein, Jessica Hwang Название: Introduction to Probability, Second Edition ISBN: 1138369918 ISBN-13(EAN): 9781138369917 Издательство: Taylor&Francis Рейтинг: Цена: 74510.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Assumes one-semester of calculus. "Stories" make distributions (Normal, Binomial, Poisson that are widely-used in statistics) easier to remember, understand. Many books write down formulas without explaining clearly why these particular distributions are important or how they are all connected.
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