Mathematical Modelling Simulations And Ai For Emergent Pandemic Diseases

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Mathematical Modelling, Simulations, and AI for Emergent Pandemic Diseases

Mathematical Modelling, Simulations, and AI for Emergent Pandemic Diseases
  • Author : Esteban A. Hernandez-Vargas,Jorge X. Velasco-Hernandez
  • Publisher : Academic Press
  • Release Date : 2023-01-15
  • Total pages : 320
  • ISBN : 0323950647
  • File Size : 33,7 Mb
  • Total Download : 214
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With the availability of COVID-19 vaccines, a new set of problems arises concerning viral mutation, interactions with other respiratory infections, and the emergence of new viral diseases from spillovers of zoonosis. Mathematical Modeling, Simulations, and Artificial Intelligence for Emergent Pandemic Diseases includes new research, models and simulations developed with insight gained during the COVID-19 pandemic into how mathematical methods and practice can impact our response to future pandemics. The chapters in this book go beyond forecasting COVID-19, bringing different scale angles and mathematical techniques (e.g., ordinary differential and difference equations, agent-based models, artificial intelligence, and complex networks) which could have potential use in modelling other emergent pandemic diseases. The reader will benefit from learning how to apply advanced mathematical modelling to a variety of topics of practical interest such as of optimal allocations of masks and vaccines but also more theoretical problems such as the evolution of viral variants. A major part of the book is focused on preparing the scientific community for the next pandemic. Particularly important is the application of mathematical modelling to interdisciplinary fields including ecology, economics, and epidemiology, which will be fundamental for forecasting and containing emerging pathogens. Provides a comprehensive overview of the state-of-the-art in mathematical modeling and computational simulations for emerging pandemics Presents modeling techniques that go beyond COVID-19, which can be applied to tailoring interventions to attenuate high death tolls Includes illustrations, tables, and dialog boxes to explain highly specialized concepts and insights with complex algorithms, along with links to programming code

Researches and Applications of Artificial Intelligence to Mitigate Pandemics

Researches and Applications of Artificial Intelligence to Mitigate Pandemics
  • Author : Kauser Hameed,Surbhi Bhatia,Syed Tousi Ahmed
  • Publisher : Elsevier
  • Release Date : 2021-04-30
  • Total pages : 182
  • ISBN : 9780323909594
  • File Size : 22,9 Mb
  • Total Download : 962
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Researches and Applications of Artificial Intelligence to Mitigate Pandemics: History, Diagnostic Tools, Epidemiology, Healthcare, and Technology offers readers an interdisciplinary view of state-of-art research related to the COVID-19 outbreak, with a focus on tactics employed to model the number of cases of COVID-19 (time series modeling), models employed to diagnostics COVID-19 based on images, and the panoramic of COVID-19 since its discovery and up to this book's publication. This book showcases the algorithms and models available to manage pandemic data, the role of AI, IoT and Mathematical Modeling, how to prevent and fight COVID-19, and the existing medical, social and pharmaceutical support. Chapters cover methods and protocols, the basics and history of diseases, the fast diagnosis of disease with different automated algorithms and artificial intelligence tools and techniques, the methods of handling epidemiology for mitigating the spread of disease, artificial intelligence and mathematical modeling techniques, and how mental and physical health is affected with social media usage. Explains novel and hybrid high quality artificial intelligence methodologies, techniques, algorithms, architectures, tools and methods to cope with pandemics Covers rapid point-of-care diagnostics, presents details on varied mathematical models developed to control epidemiology, and lists existing measures to disseminate the spread of infection using computational methods Highlights the negative effect of social media and other sources by applying preventive measures to combat depression and anxiety

Researches and Applications of Artificial Intelligence to Mitigate Pandemics

Researches and Applications of Artificial Intelligence to Mitigate Pandemics
  • Author : Kauser Hameed,Surbhi Bhatia,Syed Tousi Ahmed
  • Publisher : Academic Press
  • Release Date : 2021-04-27
  • Total pages : 183
  • ISBN : 9780323899963
  • File Size : 21,9 Mb
  • Total Download : 750
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Researches and Applications of Artificial Intelligence to Mitigate Pandemics: History, Diagnostic Tools, Epidemiology, Healthcare, and Technology offers readers an interdisciplinary view of state-of-art research related to the COVID-19 outbreak, with a focus on tactics employed to model the number of cases of COVID-19 (time series modeling), models employed to diagnostics COVID-19 based on images, and the panoramic of COVID-19 since its discovery and up to this book's publication. This book showcases the algorithms and models available to manage pandemic data, the role of AI, IoT and Mathematical Modeling, how to prevent and fight COVID-19, and the existing medical, social and pharmaceutical support. Chapters cover methods and protocols, the basics and history of diseases, the fast diagnosis of disease with different automated algorithms and artificial intelligence tools and techniques, the methods of handling epidemiology for mitigating the spread of disease, artificial intelligence and mathematical modeling techniques, and how mental and physical health is affected with social media usage. Explains novel and hybrid high quality artificial intelligence methodologies, techniques, algorithms, architectures, tools and methods to cope with pandemics Covers rapid point-of-care diagnostics, presents details on varied mathematical models developed to control epidemiology, and lists existing measures to disseminate the spread of infection using computational methods Highlights the negative effect of social media and other sources by applying preventive measures to combat depression and anxiety

AI and Analytics for Public Health

AI and Analytics for Public Health
  • Author : Hui Yang,Robin Qiu,Weiwei Chen
  • Publisher : Springer Nature
  • Release Date : 2022-01-03
  • Total pages : 474
  • ISBN : 9783030751661
  • File Size : 24,8 Mb
  • Total Download : 648
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This volume offers the state-of-the-art research and developments in service science and related research, education and practice areas. It showcases emerging technology and applications in fields including healthcare, energy, finance, information technology, transportation, sports, logistics, and public services. Regardless of size and service, a service organization is a service system. Because of the socio-technical nature of a service system, a systems approach must be adopted to design, develop, and deliver services, aimed at meeting end users’ both utilitarian and socio-psychological needs. Effective understanding of service and service systems often requires combining multiple methods to consider how interactions of people, technology, organizations, and information create value under various conditions. Chapters highlight ways to approach such technical challenges in service science and are based on submissions from the 2020 INFORMS International Conference on Service Science.

Intelligent Data Analysis for COVID-19 Pandemic

Intelligent Data Analysis for COVID-19 Pandemic
  • Author : M. Niranjanamurthy,Siddhartha Bhattacharyya,Neeraj Kumar
  • Publisher : Springer Nature
  • Release Date : 2021-06-22
  • Total pages : 370
  • ISBN : 9789811615740
  • File Size : 25,9 Mb
  • Total Download : 690
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This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions are discussed in detail in the book to recognize (diagnose), predict, and explain (treat) COVID-19 infections, and help manage socio-economic impacts. It also discusses primary warnings and alerts; tracking and prediction; data dashboards; diagnosis and prognosis; treatments and cures; and social control by the use of intelligent data analysis. It provides analysis reports, solutions using real-time data, and solution through web applications details.

Mathematical modelling of the pandemic of 2019 novel coronavirus (COVID-19): Patterns, Dynamics, Prediction, and Control

Mathematical modelling of the pandemic of 2019 novel coronavirus (COVID-19): Patterns, Dynamics, Prediction, and Control
  • Author : Hui-Jia Li,Lin Wang,Zhen Wang,Zhanwei Du,Bingyi Yang,Chengyi Xia,Aristides (Aris) Moustakas,Sen Pei
  • Publisher : Frontiers Media SA
  • Release Date : 2021-09-27
  • Total pages : 308
  • ISBN : 9782889713868
  • File Size : 19,5 Mb
  • Total Download : 236
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PDF book entitled Mathematical modelling of the pandemic of 2019 novel coronavirus (COVID-19): Patterns, Dynamics, Prediction, and Control written by Hui-Jia Li,Lin Wang,Zhen Wang,Zhanwei Du,Bingyi Yang,Chengyi Xia,Aristides (Aris) Moustakas,Sen Pei and published by Frontiers Media SA which was released on 2021-09-27 with total hardcover pages 308, the book become popular and critical acclaim.

Data Science Advancements in Pandemic and Outbreak Management

Data Science Advancements in Pandemic and Outbreak Management
  • Author : Asimakopoulou, Eleana,Bessis, Nik
  • Publisher : IGI Global
  • Release Date : 2021-04-09
  • Total pages : 255
  • ISBN : 9781799867388
  • File Size : 15,5 Mb
  • Total Download : 340
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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.

AI-enabled Data Science for COVID-19

AI-enabled Data Science for COVID-19
  • Author : Da Yan,Hong Qin,Hsiang-Yun Wu,Jake Y. Chen
  • Publisher : Frontiers Media SA
  • Release Date : 2022-01-13
  • Total pages : 115
  • ISBN : 9782889740505
  • File Size : 34,7 Mb
  • Total Download : 973
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PDF book entitled AI-enabled Data Science for COVID-19 written by Da Yan,Hong Qin,Hsiang-Yun Wu,Jake Y. Chen and published by Frontiers Media SA which was released on 2022-01-13 with total hardcover pages 115, the book become popular and critical acclaim.

Intelligent Healthcare

Intelligent Healthcare
  • Author : Surbhi Bhatia,Ashutosh Kumar Dubey,Rita Chhikara,Poonam Chaudhary,Abhishek Kumar
  • Publisher : Springer Nature
  • Release Date : 2021-07-02
  • Total pages : 323
  • ISBN : 9783030670511
  • File Size : 27,7 Mb
  • Total Download : 509
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This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniques and deploying novel technologies in intelligent healthcare services and applications. Describes the advances of computing methodologies for life and medical science data; Presents applications of artificial intelligence in healthcare along with case studies and datasets; Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.

Mathematical Epidemiology

Mathematical Epidemiology
  • Author : Fred Brauer,Pauline van den Driessche,J. Wu
  • Publisher : Springer Science & Business Media
  • Release Date : 2008-04-30
  • Total pages : 415
  • ISBN : 9783540789109
  • File Size : 34,7 Mb
  • Total Download : 431
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Based on lecture notes of two summer schools with a mixed audience from mathematical sciences, epidemiology and public health, this volume offers a comprehensive introduction to basic ideas and techniques in modeling infectious diseases, for the comparison of strategies to plan for an anticipated epidemic or pandemic, and to deal with a disease outbreak in real time. It covers detailed case studies for diseases including pandemic influenza, West Nile virus, and childhood diseases. Models for other diseases including Severe Acute Respiratory Syndrome, fox rabies, and sexually transmitted infections are included as applications. Its chapters are coherent and complementary independent units. In order to accustom students to look at the current literature and to experience different perspectives, no attempt has been made to achieve united writing style or unified notation. Notes on some mathematical background (calculus, matrix algebra, differential equations, and probability) have been prepared and may be downloaded at the web site of the Centre for Disease Modeling (www.cdm.yorku.ca).

Microbial Threats to Health

Microbial Threats to Health
  • Author : Institute of Medicine,Board on Global Health,Committee on Emerging Microbial Threats to Health in the 21st Century
  • Publisher : National Academies Press
  • Release Date : 2003-08-25
  • Total pages : 397
  • ISBN : 0309185548
  • File Size : 44,5 Mb
  • Total Download : 810
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Infectious diseases are a global hazard that puts every nation and every person at risk. The recent SARS outbreak is a prime example. Knowing neither geographic nor political borders, often arriving silently and lethally, microbial pathogens constitute a grave threat to the health of humans. Indeed, a majority of countries recently identified the spread of infectious disease as the greatest global problem they confront. Throughout history, humans have struggled to control both the causes and consequences of infectious diseases and we will continue to do so into the foreseeable future. Following up on a high-profile 1992 report from the Institute of Medicine, Microbial Threats to Health examines the current state of knowledge and policy pertaining to emerging and re-emerging infectious diseases from around the globe. It examines the spectrum of microbial threats, factors in disease emergence, and the ultimate capacity of the United States to meet the challenges posed by microbial threats to human health. From the impact of war or technology on disease emergence to the development of enhanced disease surveillance and vaccine strategies, Microbial Threats to Health contains valuable information for researchers, students, health care providers, policymakers, public health officials. and the interested public.

COVID-19: Prediction, Decision-Making, and its Impacts

COVID-19: Prediction, Decision-Making, and its Impacts
  • Author : K.C. Santosh,Amit Joshi
  • Publisher : Springer Nature
  • Release Date : 2020-12-11
  • Total pages : 137
  • ISBN : 9789811596827
  • File Size : 45,5 Mb
  • Total Download : 178
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The book aims to outline the issues of AI and COVID-19, involving predictions,medical support decision-making, and possible impact on human life. Starting withmajor COVID-19 issues and challenges, it takes possible AI-based solutions forseveral problems, such as public health surveillance, early (epidemic) prediction,COVID-19 positive case detection, and robotics integration against COVID-19.Beside mathematical modeling, it includes the necessity of changes in innovationsand possible COVID-19 impacts. The book covers a clear understanding of AI-driven tools and techniques, where pattern recognition, anomaly detection, machinelearning, and data analytics are considered. It aims to include the wide range ofaudiences from computer science and engineering to healthcare professionals.

Artificial Intelligence in Precision Health

Artificial Intelligence in Precision Health
  • Author : Debmalya Barh
  • Publisher : Academic Press
  • Release Date : 2020-03-04
  • Total pages : 544
  • ISBN : 9780128173381
  • File Size : 20,5 Mb
  • Total Download : 619
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Artificial Intelligence in Precision Health: From Concept to Applications provides a readily available resource to understand artificial intelligence and its real time applications in precision medicine in practice. Written by experts from different countries and with diverse background, the content encompasses accessible knowledge easily understandable for non-specialists in computer sciences. The book discusses topics such as cognitive computing and emotional intelligence, big data analysis, clinical decision support systems, deep learning, personal omics, digital health, predictive models, prediction of epidemics, drug discovery, precision nutrition and fitness. Additionally, there is a section dedicated to discuss and analyze AI products related to precision healthcare already available. This book is a valuable source for clinicians, healthcare workers, and researchers from diverse areas of biomedical field who may or may not have computational background and want to learn more about the innovative field of artificial intelligence for precision health. Provides computational approaches used in artificial intelligence easily understandable for non-computer specialists Gives know-how and real successful cases of artificial intelligence approaches in predictive models, modeling disease physiology, and public health surveillance Discusses the applicability of AI on multiple areas, such as drug discovery, clinical trials, radiology, surgery, patient care and clinical decision support

Enabling Healthcare 4.0 for Pandemics

Enabling Healthcare 4.0 for Pandemics
  • Author : Abhinav Juneja,Vikram Bali,Sapna Juneja,Vishal Jain,Prashant Tyagi
  • Publisher : John Wiley & Sons
  • Release Date : 2021-09-08
  • Total pages : 352
  • ISBN : 9781119769064
  • File Size : 38,5 Mb
  • Total Download : 409
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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.

Omics Approaches and Technologies in COVID-19

Omics Approaches and Technologies in COVID-19
  • Author : Debmalya Barh,Vasco Ariston De Car Azevedo
  • Publisher : Academic Press
  • Release Date : 2022-12-01
  • Total pages : 464
  • ISBN : 9780323986212
  • File Size : 9,8 Mb
  • Total Download : 387
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Omics Approaches and Technologies in COVID-19 discusses current and in development technologies used to fight the SARS-CoV-2 pandemic. Based on the research developed since the virus' outbreak, experts from around the world present perspectives on how recent technologies can help diagnose, treat and control. The book discusses topics such as genomics, meta-genomics, nutrigenomics, transcriptomics, proteomics, metabolomics, epigenomics, multi-omics and pan-genomics approaches, CRISPR, host-pathogen interactions, systems biology, artificial intelligence and machine learning applied to COVID-19, bioinformatics, mathematical modeling, and big data. In addition, it presents smart technologies to control SARS-CoV-2 transmission and technologies for the prediction of patients’ health conditions and treatment outcomes. This is a valuable resource for graduate students, researchers and members of the biomedical field who are interested in learning more about novel approaches and technologies used to tackle the COVID-19 pandemic. Presents an overview of various omics-based strategies used in identifying the origin of SARS-CoV-2 Discusses omics approaches used in developing novel rapid diagnostics for COVID-19 Brings information on how omics technologies have minimized the time taken to develop potential drugs and vaccines Explains how applications of digital and smart technologies can be used to control the pandemic

Bioterrorism

Bioterrorism
  • Author : H. T. Banks,C. Castillo-Chavez
  • Publisher : SIAM
  • Release Date : 2003-01-01
  • Total pages : 247
  • ISBN : 9780898715491
  • File Size : 27,9 Mb
  • Total Download : 750
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Collects the detailed contributions of selected groups of experts from the fields of biostatistics, control theory, epidemiology, and mathematical biology who have engaged in the development of frameworks, models, and mathematical methods needed to address some of the pressing challenges posed by acts of terror.

Geospatial Intelligence

Geospatial Intelligence
  • Author : Fatimazahra Barramou,El Hassan El Brirchi,Khalifa Mansouri,Youness Dehbi
  • Publisher : Springer Nature
  • Release Date : 2021-11-10
  • Total pages : 180
  • ISBN : 9783030804589
  • File Size : 38,5 Mb
  • Total Download : 693
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This book explores cutting-edge methods combining geospatial technologies and artificial intelligence related to several fields such as smart farming, urban planning, geology, transportation, and 3D city models. It introduces techniques which range from machine and deep learning to remote sensing for geospatial data analysis. The book consists of two main parts that include 13 chapters contributed by promising authors. The first part deals with the use of artificial intelligence techniques to improve spatial data analysis, whereas the second part focuses on the use of artificial intelligence with remote sensing in various fields. Throughout the chapters, the interest for the use of artificial intelligence is demonstrated for different geospatial technologies such as aerial imagery, drones, Lidar, satellite remote sensing, and more. The work in this book is dedicated to the scientific community interested in the coupling of geospatial technologies and artificial intelligence and exploring the synergetic effects of both fields. It offers practitioners and researchers from academia, the industry and government information, experiences and research results about all aspects of specialized and interdisciplinary fields on geospatial intelligence.

FMD Research: Bridging the Gaps with Novel Tools

FMD Research: Bridging the Gaps with Novel Tools
  • Author : Alejandra Victoria Capozzo,Cyril Gerard Gay,Wilna Vosloo,Mariano Pérez-Filgueira
  • Publisher : Frontiers Media SA
  • Release Date : 2021-07-14
  • Total pages : 307
  • ISBN : 9782889710355
  • File Size : 38,6 Mb
  • Total Download : 539
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PDF book entitled FMD Research: Bridging the Gaps with Novel Tools written by Alejandra Victoria Capozzo,Cyril Gerard Gay,Wilna Vosloo,Mariano Pérez-Filgueira and published by Frontiers Media SA which was released on 2021-07-14 with total hardcover pages 307, the book become popular and critical acclaim.

Public Health Data Challenges of the COVID-19 Pandemic

Public Health Data Challenges of the COVID-19 Pandemic
  • Author : Carla Sofia e Sá Farinha,Paulo Jorge Nogueira,Andreia Silva Costa
  • Publisher : Frontiers Media SA
  • Release Date : 2022-08-26
  • Total pages : 139
  • ISBN : 9782889768455
  • File Size : 48,6 Mb
  • Total Download : 184
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PDF book entitled Public Health Data Challenges of the COVID-19 Pandemic written by Carla Sofia e Sá Farinha,Paulo Jorge Nogueira,Andreia Silva Costa and published by Frontiers Media SA which was released on 2022-08-26 with total hardcover pages 139, the book become popular and critical acclaim.

Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases

Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases
  • Author : Gerardo Chowell,James M. Hyman
  • Publisher : Springer
  • Release Date : 2016-07-27
  • Total pages : 356
  • ISBN : 9783319404134
  • File Size : 30,6 Mb
  • Total Download : 526
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The contributions by epidemic modeling experts describe how mathematical models and statistical forecasting are created to capture the most important aspects of an emerging epidemic.Readers will discover a broad range of approaches to address questions, such as Can we control Ebola via ring vaccination strategies? How quickly should we detect Ebola cases to ensure epidemic control? What is the likelihood that an Ebola epidemic in West Africa leads to secondary outbreaks in other parts of the world? When does it matter to incorporate the role of disease-induced mortality on epidemic models? What is the role of behavior changes on Ebola dynamics? How can we better understand the control of cholera or Ebola using optimal control theory? How should a population be structured in order to mimic the transmission dynamics of diseases such as chlamydia, Ebola, or cholera? How can we objectively determine the end of an epidemic? How can we use metapopulation models to understand the role of movement restrictions and migration patterns on the spread of infectious diseases? How can we capture the impact of household transmission using compartmental epidemic models? How could behavior-dependent vaccination affect the dynamical outcomes of epidemic models? The derivation and analysis of the mathematical models addressing these questions provides a wide-ranging overview of the new approaches being created to better forecast and mitigate emerging epidemics. This book will be of interest to researchers in the field of mathematical epidemiology, as well as public health workers.

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,Health and Medicine Division,Board on Population Health and Public Health Practice,Board on Health Sciences Policy,Committee on Evidence-Based Practices for Public Health Emergency Preparedness and Response
  • Publisher : National Academies Press
  • Release Date : 2020-11-28
  • Total pages : 501
  • ISBN : 9780309670388
  • File Size : 30,6 Mb
  • Total Download : 726
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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.