Data Science Advancements in Pandemic and Outbreak Management, Asimakopoulou Eleana, Bessis Nik
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.
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.
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: 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.
Автор: Viswanath, Buddolla Название: Pandemic Outbreaks In The Twenty-First Century ISBN: 0323856624 ISBN-13(EAN): 9780323856621 Издательство: Elsevier Science Рейтинг: Цена: 19875.00 р. Наличие на складе: Поставка под заказ.
Описание: With a healthy perspective we can become resilient in ways that not only help us bounce back from stress and tough times, but we can actually deepen in ways which would not have been possible had they not occurred in the first place. The Simple Care of a Hopeful Heart offers a series of brief, accessible lessons in self-care and self-understanding to enhance such possibilities.
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: This book provides a systematic treatment of the mathematical underpinnings of work in the theory of outbreak dynamics and their control, covering balanced perspectives between theory and practice including new material on contemporary topics in the field of infectious disease modelling. Specifically, it presents a unified mathematical framework linked to the distribution theory of non-negative random variables; the many examples used in the text, are introduced and discussed in light of theoretical perspectives. The book is organized into 9 chapters: The first motivates the presentation of the material on subsequent chapters; Chapter 2-3 provides a review of basic concepts of probability and statistical models for the distributions of continuous lifetime data and the distributions of random counts and counting processes, which are linked to phenomenological models. Chapters 4 focuses on dynamic behaviors of a disease outbreak during the initial phase while Chapters 5-6 broadly cover compartment models to investigate the consequences of epidemics as the outbreak moves beyond the initial phase. Chapter 7 provides a transition between mostly theoretical topics in earlier chapters and Chapters 8 and 9 where the focus is on the data generating processes and statistical issues of fitting models to data as well as specific mathematical epidemic modeling applications, respectively. This book is aimed at a wide audience ranging from graduate students to established scientists from quantitatively-oriented fields of epidemiology, mathematics and statistics. The numerous examples and illustrations make understanding of the mathematics of disease transmission and control accessible. Furthermore, the examples and exercises, make the book suitable for motivated students in applied mathematics, either through a lecture course, or through self-study. This text could be used in graduate schools or special summer schools covering research problems in mathematical biology.
Автор: Nair Название: Cholera Outbreaks ISBN: 3642554032 ISBN-13(EAN): 9783642554032 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cholera Outbreaks
Автор: Rigdon, Steven E , Fricker, Jr., Ronald D. Название: Monitoring the Health of Populations by Tracking Disease Outbreaks ISBN: 0367242834 ISBN-13(EAN): 9780367242831 Издательство: Taylor&Francis Рейтинг: Цена: 13779.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Not since the Spanish flu have citizens of developed counties experienced such a large-scale disease outbreak. One reason is the success of the public health community in tracking and identifying disease outbreaks. This book is the story of the application of statistics for disease detection and tracking.
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.
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