Leveraging Data Science for Global Health

This 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. Devel...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Celi, Leo Anthony (Editor), Majumder, Maimuna S. (Editor), Ordóñez, Patricia (Editor), Osorio, Juan Sebastian (Editor), Paik, Kenneth E. (Editor), Somai, Melek (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:1st ed. 2020.
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Table of Contents:
  • Part 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.