LEADER 01418nam 2200385 450 001 996280913403316 005 20230807205619.0 010 $a1-4673-9663-X 035 $a(CKB)3710000000536699 035 $a(WaSeSS)IndRDA00120083 035 $a(EXLCZ)993710000000536699 100 $a20200311d2015 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a2015 IEEE 5th International Conference on Computational Advances in Bio and Medical Sciences$b[e-book] $e15-17 October 2015, Miami, FL, USA /$fsponsored by National Science Foundation (U.S.) [and five others] 210 1$aPiscataway, New Jersey :$cInstitute of Electrical and Electronics Engineers,$d2015. 215 $a1 online resource (35 pages) 311 $a1-4673-9664-8 606 $aMedicine$xData processing$vCongresses 606 $aBiology$xData processing$vCongresses 606 $aComputational biology$vCongresses 615 0$aMedicine$xData processing 615 0$aBiology$xData processing 615 0$aComputational biology 676 $a610.285 712 02$aNational Science Foundation, 801 0$bWaSeSS 801 1$bWaSeSS 906 $aPROCEEDING 912 $a996280913403316 996 $a2015 IEEE 5th International Conference on Computational Advances in Bio and Medical Sciences$92520804 997 $aUNISA LEADER 03523nam 2200421 450 001 9910808442803321 005 20210420153618.0 010 $a0-309-45012-8 010 $a0-309-45014-4 035 $a(CKB)3710000001080258 035 $a(MiAaPQ)EBC4833788 035 $a(EXLCZ)993710000001080258 100 $a20170419h20162016 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aBig data and analysis for infectious disease research, operations, and policy $eproceedings of a workshop /$fNational Academies of Sciences, Engineering, and Medicine (U.S.) 210 1$aWashington, District of Columbia :$cThe National Academies Press,$d2016. 210 4$dİ2016 215 $a1 online resource (82 pages) 311 $a0-309-45011-X 327 $aIntroduction -- 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 -- References -- Appendix A: Workshop agenda -- Appendix B: Biographical sketches of workshop speakers -- Appendix C: Statement of task. 330 $a"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"--Publisher's description. 606 $aCommunicable diseases$xResearch 606 $aBig data$xSecurity measures 608 $aConference papers and proceedings.$2fast 615 0$aCommunicable diseases$xResearch. 615 0$aBig data$xSecurity measures. 676 $a616.9 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910808442803321 996 $aBig data and analysis for infectious disease research, operations, and policy$94070837 997 $aUNINA