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Books > Reference & Interdisciplinary > Communication studies > Research methods
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Big Data and Analytics for Infectious Disease Research, Operations, and Policy - Proceedings of a Workshop (Paperback)
Loot Price: R1,274
Discovery Miles 12 740
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Big Data and Analytics for Infectious Disease Research, Operations, and Policy - Proceedings of a Workshop (Paperback)
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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. Table of Contents Front Matter 1 Introduction 2 Big Data
and Global Health 3 Opportunities and Challenges for Big Data and
Analytics 4 Case Studies in Big Data and Analysis 5 Closing Remarks
and General Discussion References Appendix A: Workshop Agenda
Appendix B: Biographical Sketches of Workshop Speakers Appendix C:
Statement of Task
General
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