Pandemic Influenza Preparedness and Response

Pandemic Influenza Preparedness and Response

Author: World Health Organization

Publisher: World Health Organization

Published: 2009

Total Pages: 62

ISBN-13: 9241547685

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This guidance is an update of WHO global influenza preparedness plan: the role of WHO and recommendations for national measures before and during pandemics, published March 2005 (WHO/CDS/CSR/GIP/2005.5).


Enabling Healthcare 4.0 for Pandemics

Enabling Healthcare 4.0 for Pandemics

Author: Abhinav Juneja

Publisher: John Wiley & Sons

Published: 2021-09-08

Total Pages: 352

ISBN-13: 111976906X

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ENABLING HEALTHCARE 4.0 for PANDEMICS The book explores the role and scope of AI, machine learning and other current technologies to handle pandemics. In this timely book, the editors explore the current state of practice in Healthcare 4.0 and provide a roadmap for harnessing artificial intelligence, machine learning, and Internet of Things, as well as other modern cognitive technologies, to aid in dealing with the various aspects of an emergency pandemic outbreak. There is a need to improvise healthcare systems with the intervention of modern computing and data management platforms to increase the reliability of human processes and life expectancy. There is an urgent need to come up with smart IoT-based systems which can aid in the detection, prevention and cure of these pandemics with more precision. There are a lot of challenges to overcome but this book proposes a new approach to organize the technological warfare for tackling future pandemics. In this book, the reader will find: State-of-the-art technological advancements in pandemic management; AI and ML-based identification and forecasting of pandemic spread; Smart IoT-based ecosystem for pandemic scenario. Audience The book will be used by researchers and practitioners in computer science, artificial intelligence, bioinformatics, data scientists, biomedical statisticians, as well as industry professionals in disaster and pandemic management.


Global Health and the Future Role of the United States

Global Health and the Future Role of the United States

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2017-10-05

Total Pages: 385

ISBN-13: 0309457637

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While much progress has been made on achieving the Millenium Development Goals over the last decade, the number and complexity of global health challenges has persisted. Growing forces for globalization have increased the interconnectedness of the world and our interdependency on other countries, economies, and cultures. Monumental growth in international travel and trade have brought improved access to goods and services for many, but also carry ongoing and ever-present threats of zoonotic spillover and infectious disease outbreaks that threaten all. Global Health and the Future Role of the United States identifies global health priorities in light of current and emerging world threats. This report assesses the current global health landscape and how challenges, actions, and players have evolved over the last decade across a wide range of issues, and provides recommendations on how to increase responsiveness, coordination, and efficiency â€" both within the U.S. government and across the global health field.


Textbook of Disaster Psychiatry

Textbook of Disaster Psychiatry

Author: Robert J. Ursano

Publisher: Cambridge University Press

Published: 2017-05-23

Total Pages: 367

ISBN-13: 1107138493

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This book presents a decade of advances in the psychological, biological and social responses to disasters, helping medics and leaders prepare and react.


The Future of Public Health

The Future of Public Health

Author: Committee for the Study of the Future of Public Health

Publisher: National Academies Press

Published: 1988-01-15

Total Pages: 240

ISBN-13: 0309581907

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"The Nation has lost sight of its public health goals and has allowed the system of public health to fall into 'disarray'," from The Future of Public Health. This startling book contains proposals for ensuring that public health service programs are efficient and effective enough to deal not only with the topics of today, but also with those of tomorrow. In addition, the authors make recommendations for core functions in public health assessment, policy development, and service assurances, and identify the level of government--federal, state, and local--at which these functions would best be handled.


Enabling Healthcare 4.0 for Pandemics

Enabling Healthcare 4.0 for Pandemics

Author: Abhinav Juneja

Publisher: John Wiley & Sons

Published: 2021-09-22

Total Pages: 354

ISBN-13: 1119768799

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ENABLING HEALTHCARE 4.0 for PANDEMICS The book explores the role and scope of AI, machine learning and other current technologies to handle pandemics. In this timely book, the editors explore the current state of practice in Healthcare 4.0 and provide a roadmap for harnessing artificial intelligence, machine learning, and Internet of Things, as well as other modern cognitive technologies, to aid in dealing with the various aspects of an emergency pandemic outbreak. There is a need to improvise healthcare systems with the intervention of modern computing and data management platforms to increase the reliability of human processes and life expectancy. There is an urgent need to come up with smart IoT-based systems which can aid in the detection, prevention and cure of these pandemics with more precision. There are a lot of challenges to overcome but this book proposes a new approach to organize the technological warfare for tackling future pandemics. In this book, the reader will find: State-of-the-art technological advancements in pandemic management; AI and ML-based identification and forecasting of pandemic spread; Smart IoT-based ecosystem for pandemic scenario. Audience The book will be used by researchers and practitioners in computer science, artificial intelligence, bioinformatics, data scientists, biomedical statisticians, as well as industry professionals in disaster and pandemic management.


Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis

Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis

Author: Subhendu Kumar Pani

Publisher: Springer

Published: 2021-12-14

Total Pages: 405

ISBN-13: 9783030797522

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This book comprehensively covers the topic of COVID-19 and other pandemics and epidemics data analytics using computational modelling. Biomedical and Health Informatics is an emerging field of research at the intersection of information science, computer science, and health care. The new era of pandemics and epidemics bring tremendous opportunities and challenges due to the plentiful and easily available medical data allowing for further analysis. The aim of pandemics and epidemics research is to ensure high-quality, efficient healthcare, better treatment and quality of life by efficiently analyzing the abundant medical, and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. In the past, it was a common requirement to have domain experts for developing models for biomedical or healthcare. However, recent advances in representation learning algorithms allow us to automatically learn the pattern and representation of the given data for the development of such models. Medical Image Mining, a novel research area (due to its large amount of medical images) are increasingly generated and stored digitally. These images are mainly in the form of: computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions related to health care. Image mining in medicine can help to uncover new relationships between data and reveal new and useful information that can be helpful for scientists and biomedical practitioners. Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis will play a vital role in improving human life in response to pandemics and epidemics. The state-of-the-art approaches for data mining-based medical and health related applications will be of great value to researchers and practitioners working in biomedical, health informatics, and artificial intelligence..


Evidence-Based Practice for Public Health Emergency Preparedness and Response

Evidence-Based Practice for Public Health Emergency Preparedness and Response

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2020-11-28

Total Pages: 501

ISBN-13: 0309670381

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When communities face complex public health emergencies, state local, tribal, and territorial public health agencies must make difficult decisions regarding how to effectively respond. The public health emergency preparedness and response (PHEPR) system, with its multifaceted mission to prevent, protect against, quickly respond to, and recover from public health emergencies, is inherently complex and encompasses policies, organizations, and programs. Since the events of September 11, 2001, the United States has invested billions of dollars and immeasurable amounts of human capital to develop and enhance public health emergency preparedness and infrastructure to respond to a wide range of public health threats, including infectious diseases, natural disasters, and chemical, biological, radiological, and nuclear events. Despite the investments in research and the growing body of empirical literature on a range of preparedness and response capabilities and functions, there has been no national-level, comprehensive review and grading of evidence for public health emergency preparedness and response practices comparable to those utilized in medicine and other public health fields. Evidence-Based Practice for Public Health Emergency Preparedness and Response reviews the state of the evidence on PHEPR practices and the improvements necessary to move the field forward and to strengthen the PHEPR system. This publication evaluates PHEPR evidence to understand the balance of benefits and harms of PHEPR practices, with a focus on four main areas of PHEPR: engagement with and training of community-based partners to improve the outcomes of at-risk populations after public health emergencies; activation of a public health emergency operations center; communication of public health alerts and guidance to technical audiences during a public health emergency; and implementation of quarantine to reduce the spread of contagious illness.


The Future of the Nursing Workforce in the United States

The Future of the Nursing Workforce in the United States

Author: Peter Buerhaus

Publisher: Jones & Bartlett Publishers

Published: 2009-10-06

Total Pages: 329

ISBN-13: 0763756849

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The Future of the Nursing Workforce in the United States: Data, Trends and Implications provides a timely, comprehensive, and integrated body of data supported by rich discussion of the forces shaping the nursing workforce in the US. Using plain, jargon free language, the book identifies and describes the key changes in the current nursing workforce and provide insights about what is likely to develop in the future. The Future of the Nursing Workforce offers an in-depth discussion of specific policy options to help employers, educators, and policymakers design and implement actions aimed at strengthening the current and future RN workforce. The only book of its kind, this renowned author team presents extensive data, exhibits and tables on the nurse labor market, how the composition of the workforce is evolving, changes occurring in the work environment where nurses practice their profession, and on the publics opinion of the nursing profession.


Artificial Intelligence for COVID-19

Artificial Intelligence for COVID-19

Author: Diego Oliva

Publisher: Springer Nature

Published: 2021-07-19

Total Pages: 594

ISBN-13: 3030697444

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This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.