Coverart for item
The Resource Big data and analytics for infectious disease research, operations, and policy : proceedings of a workshop, Forum on Microbial Threats, Board on Global Health, Health and Medicine Division, the National Academies of Sciences, Engineering, Medicine

Big data and analytics for infectious disease research, operations, and policy : proceedings of a workshop, Forum on Microbial Threats, Board on Global Health, Health and Medicine Division, the National Academies of Sciences, Engineering, Medicine

Label
Big data and analytics for infectious disease research, operations, and policy : proceedings of a workshop
Title
Big data and analytics for infectious disease research, operations, and policy
Title remainder
proceedings of a workshop
Statement of responsibility
Forum on Microbial Threats, Board on Global Health, Health and Medicine Division, the National Academies of Sciences, Engineering, Medicine
Creator
Contributor
Issuing body
Subject
Genre
Language
eng
Summary
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
Cataloging source
NLM
http://library.link/vocab/creatorName
Alper, Joe
Dewey number
362.1969
Funding information
This project was supported by Contract No. 200-2011-38807 (Task Order No. 38), Contract No. DJF-16-1200-P-0002127, Contract No. 1R13FD005335-01, Contract No. ICD 620644, Contract No. APA-2015-6885, Contract No. HHSN26300055, Contract No. HT9404-12-1-0009, Contract No. GHN-G-00-07-00001-00, Contract No. W81XWH14-P-0339, Contract No. HSHQDC-15-C-00043, and Contract No. VA250-16-P-1998 between the National Academy of Sciences and the Centers for Disease Control and Prevention, the Federal Bureau of Investigation, the Food and Drug Administration, Johnson & Johnson, Merck Company Foundation, the National Institute of Allergy and Infectious Diseases/National Institutes of Health, the Uniformed Services University of the Health Sciences, the U.S. Agency for International Development, the U.S. Army Medical Research and Materiel Command, the U.S. Department of Homeland Security, and the U.S. Department of Veterans Affairs, respectively, and by the American Society for Microbiology, the Infectious Diseases Society of America, Sanofi Pasteur, and the Skoll Global Threats Fund. Any opinions, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect the views of any organization or agency that provided support for the project.
Illustrations
illustrations
Index
no index present
LC call number
RA643
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
  • technical reports
NLM call number
  • 2017 C-616
  • WC 100
http://bibfra.me/vocab/relation/rapporteur
ayqgXoM6A6k
http://library.link/vocab/relatedWorkOrContributorDate
2016
http://library.link/vocab/relatedWorkOrContributorName
  • National Academies of Sciences, Engineering, and Medicine (U.S.)
  • Workshop on Big Data and Analytics for Infectious Disease Research, Operations, and Policy
http://library.link/vocab/subjectName
  • Communicable diseases
  • Public health surveillance
  • Communicable Diseases
  • Datasets as Topic
  • Global Health
  • Population Surveillance
  • POLITICAL SCIENCE
  • POLITICAL SCIENCE
  • MEDICAL
  • Communicable diseases
  • Public health surveillance
Label
Big data and analytics for infectious disease research, operations, and policy : proceedings of a workshop, Forum on Microbial Threats, Board on Global Health, Health and Medicine Division, the National Academies of Sciences, Engineering, Medicine
Instantiates
Publication
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- Big data and global health -- Opportunities and challenges for big data and analytics -- Case studies in big data and analysis -- Closing remarks and general discussion
Control code
971200096
Dimensions
unknown
Extent
1 online resource (1 PDF file (xvi, 81 pages))
Form of item
online
Isbn
9780309450119
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.17226/23654
Other physical details
illustrations
Specific material designation
remote
System control number
(OCoLC)971200096
Label
Big data and analytics for infectious disease research, operations, and policy : proceedings of a workshop, Forum on Microbial Threats, Board on Global Health, Health and Medicine Division, the National Academies of Sciences, Engineering, Medicine
Publication
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- Big data and global health -- Opportunities and challenges for big data and analytics -- Case studies in big data and analysis -- Closing remarks and general discussion
Control code
971200096
Dimensions
unknown
Extent
1 online resource (1 PDF file (xvi, 81 pages))
Form of item
online
Isbn
9780309450119
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.17226/23654
Other physical details
illustrations
Specific material designation
remote
System control number
(OCoLC)971200096

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