Описание: When an epidemic strikes, media outlets are central to how an outbreak is framed and understood. While reporters construct stories intended to inform the public and convey essential information from doctors and politicians, news narratives also serve as historical records, capturing sentiments, responses, and fears throughout the course of the epidemic.Constructing the Outbreak demonstrates how news reporting on epidemics communicates more than just information about pathogens; rather, prejudices, political agendas, religious beliefs, and theories of disease also shape the message. Analyzing seven epidemics spanning more than two hundred years -- from Boston's smallpox epidemic and Philadelphia's yellow fever epidemic in the eighteenth century to outbreaks of diphtheria, influenza, and typhoid in the early twentieth century -- Katherine A. Foss discusses how shifts in journalism and medicine influenced the coverage, preservation, and fictionalization of different disease outbreaks. Each case study highlights facets of this interplay, delving into topics such as colonization, tourism, war, and politics. Through this investigation into what has been preserved and forgotten in the collective memory of disease, Foss sheds light on current health care debates, like vaccine hesitancy.
Описание: "Portrays epidemiologists as disease detectives who tirelessly hunt for clues and excel at deductive reasoning. Even Sherlock Holmes would be proud of this astute group of professionals."--Booklist Despite advances in health care, infectious microbes continue to be a formidable adversary to scientists and doctors. Vaccines and antibiotics, the mainstays of modern medicine, have not been able to conquer infectious microbes because of their amazing ability to adapt, evolve, and spread to new places. Terrorism aside, one of the greatest dangers from infectious disease we face today is from a massive outbreak of drug-resistant microbes. Deadly Outbreaks recounts the scientific adventures of a special group of intrepid individuals who investigate these outbreaks around the world and figure out how to stop them. Part homicide detective, part physician, these medical investigators must view the problem from every angle, exhausting every possible source of contamination. Any data gathered in the field must be stripped of human sorrows and carefully analyzed into hard statistics. Author Alexandra Levitt, PhD, is an expert on emerging diseases and other public health threats. Here she shares insider accounts she's collected that go behind the alarming headlines we've seen in the media: mysterious food poisonings, unexplained deaths at a children's hospital, a strange neurologic disease afflicting slaughterhouse workers, flocks of birds dropping dead out of the sky, and drug-resistant malaria running rampant in a refugee camp. Meet the resourceful investigators--doctors, veterinarians, and research scientists--and discover the truth behind these cases and more. This edition features a new introduction by the author
Описание: Before AIDS, the role of behavioral interventions in preventing transmission of sexually transmitted diseases was rarely promoted in public health practice. This book addresses the complexities and social contexts of human behaviors which spread STDs, the cultural barriers to STD education, and the sociopolitical nuances surrounding treatment.
Автор: Stephen J.G. Semple; Lewis Adams; Brian J. Whipp Название: Modeling and Control of Ventilation ISBN: 1461357926 ISBN-13(EAN): 9781461357926 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of the London Conference on Modeling and Control of Ventilation held in Egham, Surrey, England, September 17-20, 1994
Автор: Xinjiang Lu; Minghui Huang Название: Modeling, Analysis and Control of Hydraulic Actuator for Forging ISBN: 9811055823 ISBN-13(EAN): 9789811055829 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes load modeling approaches for complex work pieces and batch forgings, and demonstrates analytical modeling and data-driven modeling approaches for known and unknown complex forging processes.
Автор: Shinde, Gitanjali Rahul (department Of Computer Engineering, Stes`s, Smt. Kashibai Navale College Of Engineering, Pune, India) Kalamkar, Asmita Balasa Название: Data analytics for coronavirus disease (covid-19) outbreak ISBN: 0367558467 ISBN-13(EAN): 9780367558468 Издательство: Taylor&Francis Рейтинг: Цена: 8726.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The focus of this book is data analytics for COVID-19 which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and knowledge extraction. Data sources, storage and platforms are discussed along with discussion on data models, their performance, different Big data techniques, tools and technologies.
A global health catastrophe narrowly averted. A world unprepared for another outbreak.
In December 2013, a young boy in a tiny West African village contracted the deadly Ebola virus. The virus spread to his relatives, then to neighboring communities, then across international borders. The world's first urban Ebola outbreak quickly overwhelmed the global health system and threatened to kill millions.
As we are currently seeing, in an increasingly interconnected world in which everyone is one or two flights away from New York or London or Beijing, a localized epidemic has become a pandemic. Ebola's spread through West Africa to Nigeria, the United Kingdom and the United States sounded global alarms that the next killer outbreak is right around the corner--and that the world is woefully unprepared to combat a new deadly disease.
From the poorest villages of rural West Africa to the Oval Office itself, this book tells the story of a deadly virus that spun wildly out of control--and reveals the truth about how close the world came to a catastrophic global pandemic. It is a story that serves as a cautionary tale for the COVID-19 epidemic currently spreading throughout the world.
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: 35897.00 р. 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: 27166.00 р. 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: Fong Simon James, Dey Nilanjan, Chaki Jyotismita Название: Artificial Intelligence for Coronavirus Outbreak ISBN: 981155935X ISBN-13(EAN): 9789811559358 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines how the wonders of AI have contributed to the battle against COVID-19.
Автор: Rios, Jorge D. Название: Neural Networks Modeling And Control ISBN: 0128170786 ISBN-13(EAN): 9780128170786 Издательство: Elsevier Science Рейтинг: Цена: 19875.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and control of discrete-time unknown nonlinear delayed systems under uncertainties based on Artificial Neural Networks. First, a Recurrent High Order Neural Network (RHONN) is used to identify discrete-time unknown nonlinear delayed systems under uncertainties, then a RHONN is used to design neural observers for the same class of systems. Therefore, both neural models are used to synthesize controllers for trajectory tracking based on two methodologies: sliding mode control and Inverse Optimal Neural Control.
As well as considering the different neural control models and complications that are associated with them, this book also analyzes potential applications, prototypes and future trends.
Автор: Ahmad Taher Azar; Sundarapandian Vaidyanathan Название: Chaos Modeling and Control Systems Design ISBN: 3319131311 ISBN-13(EAN): 9783319131313 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Analysis and Control of a Novel 4-D Hyperchaotic System.- Analysis, Control and Synchronization of a Nine-Term Novel 3-D Chaotic System.- Backstepping Controller Design for the Global Chaos Synchronization of Sprott's Jerk Systems.- Multi-Scroll Chaotic Oscillator Based on a First-Order Delay Differential Equation.- Projective Synchronization Scheme Based on Fuzzy Controller for Uncertain Multivariable Chaotic Systems.- Deadbeat Control for for Multivariable Discrete Time Systems with Time Varying Delay.- Control of Smart Grid Residential Buildings with Demand Response.- Application of Some Modern Techniques in Load Frequency Control in Power Systems.- Investigating Metaheuristics Applications for Capacitated Location Allocation Problem in Logistics Networks.- Classification of Heart Disorders Based on Tunable-Q Wavelet Transform of Cardiac Sound Signals.- Reliability-Constrained Optimal Distribution System Reconfiguration.- Machine Learning aided Efficient Tools for Risk Evaluation and Operational Planning of Multiple Contingencies.- Goal Directed Synthesis of Serial Manipulators Based on Task Descriptions.- Intelligent Tracking Control System for Fast Image Scanning of Atomic Force Microscopes.- Fault Diagnosis Algorithms by Combining Structural Graphs and PCA Approaches for Chemical Processes.
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