LEADER 05402nam 22008415 450 001 9910413437203321 005 20211005214708.0 010 $a3-030-47994-3 024 7 $a10.1007/978-3-030-47994-7 035 $a(CKB)4100000011363758 035 $a(DE-He213)978-3-030-47994-7 035 $a(MiAaPQ)EBC6420171 035 $a(Au-PeEL)EBL6420171 035 $a(OCoLC)1182515218 035 $a(MiAaPQ)EBC6978213 035 $a(Au-PeEL)EBL6978213 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/30895 035 $a(PPN)260302767 035 $a(EXLCZ)994100000011363758 100 $a20200731d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLeveraging Data Science for Global Health$b[electronic resource] /$fedited by Leo Anthony Celi, Maimuna S. Majumder, Patricia Ordóñez, Juan Sebastian Osorio, Kenneth E. Paik, Melek Somai 205 $a1st ed. 2020. 210 $cSpringer Nature$d2020 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XII, 475 p. 196 illus., 175 illus. in color.) 311 $a3-030-47993-5 327 $aPart 1: Big Data and Global Health Landscape -- Chapter 1. Strengths and Weaknesses of Big Data for Global Health Surveillance -- Chapter 2. Opportunities for Health Big Data in Africa -- Chapter 3. HealthMap and Digital Disease Surveillance -- Chapter 4. Mobility Data and Genomics for Disease Surveillance -- Part 2: Case Studies -- Chapter 5. Kumbh Mela Disease Surveillance -- Chapter 6. Using Google Mobility Data for Disaster Monitoring in Puerto Rico -- Chapter 7. StreetRx and the Opioid Epidemic -- Chapter 8. Twitter Data for Zika Virus Surveillance in Venezuela -- Chapter 9. Hepatitis E Outbreak in Namibia and Google Trends -- Chapter 10. Patient-Controlled Health Records for Non-Communicable Diseases in Humanitarian Settings -- Chapter 11. Addressing Sexual and Reproductive Health among Youth Migrants -- Chapter 12. Tanzanian cholera: epidemic or endemic? -- Chapter 13. Google Satellite Images to Predict Yellow Fever Incidence in Brazil -- Chapter 14. Feature Selection and Prediction of Treatment Failure in Tuberculosis -- Chapter 15. Tuberculosis, Refugees, and the Politics of Journalistic Objectivity: A qualitative review using HealthMap data -- Chapter 16. Designing Tools to Support the Cutaneous Leishmaniasis Trial in Colombia. 330 $aThis open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure ? and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources ? including news media, social media, Google Trends, and Google Street View ? can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient. 606 $aHealth informatics 606 $aHealth economics 606 $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/H28009 606 $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23060 606 $aHealth Economics$3https://scigraph.springernature.com/ontologies/product-market-codes/W35000 610 $aHealth Informatics 610 $aHealth Economics 610 $aOpen Access 610 $aBig Data 610 $aMachine Learning 610 $aArtificial Intelligence 610 $aDigital Disease Surveillance 610 $aHealth Mapping 610 $aHealth Records for Non-Communicable Diseases 610 $aHealthMap 610 $aTools for Clinical Trials 610 $aMedical equipment & techniques 610 $aInformation technology: general issues 610 $aHealth & safety aspects of IT 610 $aHealth economics 615 0$aHealth informatics. 615 0$aHealth economics. 615 14$aHealth Informatics. 615 24$aHealth Informatics. 615 24$aHealth Economics. 676 $a502.85 700 $aCeli$b Leo Anthony$4edt$01354887 702 $aCeli$b Leo Anthony$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMajumder$b Maimuna S$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aOrdóñez$b Patricia$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aOsorio$b Juan Sebastian$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPaik$b Kenneth E$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSomai$b Melek$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910413437203321 996 $aLeveraging Data Science for Global Health$93358590 997 $aUNINA