Big Data and Analytics for Infectious Disease Research, Operations, and Policy - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data and Analytics for Infectious Disease Research, Operations, and Policy write by National Academies of Sciences, Engineering, and Medicine. This book was released on 2016-11-30. Big Data and Analytics for Infectious Disease Research, Operations, and Policy available in PDF, EPUB and Kindle. With the amount of data in the world exploding, big data could generate significant value in the field of infectious disease. The increased use of social media provides an opportunity to improve public health surveillance systems and to develop predictive models. Advances in machine learning and crowdsourcing may also offer the possibility to gather information about disease dynamics, such as contact patterns and the impact of the social environment. New, rapid, point-of-care diagnostics may make it possible to capture not only diagnostic information but also other potentially epidemiologically relevant information in real time. With a wide range of data available for analysis, decision-making and policy-making processes could be improved. While there are many opportunities for big data to be used for infectious disease research, operations, and policy, many challenges remain before it is possible to capture the full potential of big data. In order to explore some of the opportunities and issues associated with the scientific, policy, and operational aspects of big data in relation to microbial threats and public health, the National Academies of Sciences, Engineering, and Medicine convened a workshop in May 2016. Participants discussed a range of topics including preventing, detecting, and responding to infectious disease threats using big data and related analytics; varieties of data (including demographic, geospatial, behavioral, syndromic, and laboratory) and their broader applications; means to improve their collection, processing, utility, and validation; and approaches that can be learned from other sectors to inform big data strategies for infectious disease research, operations, and policy. This publication summarizes the presentations and discussions from the workshop.
Big Data and Analytics for Infectious Disease Research, Operations, and Policy
Big Data and Analytics for Infectious Disease Research, Operations, and Policy - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data and Analytics for Infectious Disease Research, Operations, and Policy write by National Academies of Sciences, Engineering, and Medicine. This book was released on 2016-12-30. Big Data and Analytics for Infectious Disease Research, Operations, and Policy available in PDF, EPUB and Kindle. With the amount of data in the world exploding, big data could generate significant value in the field of infectious disease. The increased use of social media provides an opportunity to improve public health surveillance systems and to develop predictive models. Advances in machine learning and crowdsourcing may also offer the possibility to gather information about disease dynamics, such as contact patterns and the impact of the social environment. New, rapid, point-of-care diagnostics may make it possible to capture not only diagnostic information but also other potentially epidemiologically relevant information in real time. With a wide range of data available for analysis, decision-making and policy-making processes could be improved. While there are many opportunities for big data to be used for infectious disease research, operations, and policy, many challenges remain before it is possible to capture the full potential of big data. In order to explore some of the opportunities and issues associated with the scientific, policy, and operational aspects of big data in relation to microbial threats and public health, the National Academies of Sciences, Engineering, and Medicine convened a workshop in May 2016. Participants discussed a range of topics including preventing, detecting, and responding to infectious disease threats using big data and related analytics; varieties of data (including demographic, geospatial, behavioral, syndromic, and laboratory) and their broader applications; means to improve their collection, processing, utility, and validation; and approaches that can be learned from other sectors to inform big data strategies for infectious disease research, operations, and policy. This publication summarizes the presentations and discussions from the workshop.
Data Analytics for Pandemics
Data Analytics for Pandemics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Analytics for Pandemics write by Gitanjali Rahul Shinde. This book was released on 2020-08-30. Data Analytics for Pandemics available in PDF, EPUB and Kindle. Epidemic trend analysis, timeline progression, prediction, and recommendation are critical for initiating effective public health control strategies, and AI and data analytics play an important role in epidemiology, diagnostic, and clinical fronts. 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 discussions on data models, their performance, different big data techniques, tools and technologies. This book also addresses the challenges in applying analytics to pandemic scenarios, case studies and control strategies. Aimed at Data Analysts, Epidemiologists and associated researchers, this book: discusses challenges of AI model for big data analytics in pandemic scenarios; explains how different big data analytics techniques can be implemented; provides a set of recommendations to minimize infection rate of COVID-19; summarizes various techniques of data processing and knowledge extraction; enables users to understand big data analytics techniques required for prediction purposes.
Big Data Analytics and Intelligence
Big Data Analytics and Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data Analytics and Intelligence write by Poonam Tanwar. This book was released on 2020-09-30. Big Data Analytics and Intelligence available in PDF, EPUB and Kindle. Big Data Analytics and Intelligence is essential reading for researchers and experts working in the fields of health care, data science, analytics, the internet of things, and information retrieval.
Defense Against Biological Attacks
Defense Against Biological Attacks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Defense Against Biological Attacks write by Sunit K. Singh. This book was released on 2019-03-30. Defense Against Biological Attacks available in PDF, EPUB and Kindle. This first volume of a two-volume set describes general aspects, such as the historical view on the topic, the role of information distribution and preparedness of health-care systems and preparedness in emergency cases. Part two describes and discusseses in detail the pathogens and toxins that are potentially used for biological attacks. As such, the book is a valuable resource for faculties engaged in molecular biology, genetic engineering, neurology, biodefense, biosafety & biosecurity, virology, and infectious disease programs, as well as professional medical research organizations.
