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Leveraging Data Science for Global Health

Editors: Celi, L.A., Majumder, M.S., Ordoñez, P., Osorio, J.S., Paik, K.E., Somai, M. (Eds.)

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  • Is the first and currently the only book on digital disease surveillance through the application of machine learning to non-traditional data sources
  • Focuses on combating disease and promoting health, especially in resource-constrained settings
  • Includes and expands on the latest non-traditional data sources such as Google Trends, Google Street View, the news media, and social media
  • Is an open access book
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eBook  
  • ISBN 978-3-030-47994-7
  • This book is an open access book, you can download it for free on link.springer.com
Hardcover 51,99 €
price for Spain (gross)
  • ISBN 978-3-030-47993-0
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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About this Textbook

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. 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.



About the authors

Leo Anthony Celi, M.D., M.S., M.P.H., has practiced medicine in three continents, giving him broad perspectives in healthcare delivery. As clinical research director and principal research scientist at the MIT Laboratory for Computational Physiology (LCP) and as an attending physician at the Beth Israel Deaconess Medical Center (BIDMC), he brings together clinicians and data scientists to support research using data routinely collected in the process of care. Leo also founded and co-directs Sana, a cross-disciplinary organization based at the Institute for Medical Engineering and Science at MIT, whose objective is to leverage information technology to improve health outcomes in low- and middle-income countries. He is one of the course directors for global health informatics to improve quality of care, and collaborative data science in medicine, both at MIT. He is an editor of the textbook for each course, both released under an open access license. Leo has spoken in 25 countries about the value of data in improving health outcomes. 

Table of contents (29 chapters)

Table of contents (29 chapters)
  • Health Information Technology as Premise for Data Science in Global Health: A Discussion of Opportunities and Challenges

    Pages 3-15

    Agha-Mir-Salim, Louis (et al.)

  • An Introduction to Design Thinking and an Application to the Challenges of Frail, Older Adults

    Pages 17-33

    Gallanis, Tony

  • Developing Local Innovation Capacity to Drive Global Health Improvements

    Pages 35-54

    Moses, Christopher

  • Building Electronic Health Record Databases for Research

    Pages 55-64

    Bulgarelli, Lucas (et al.)

  • Funding Global Health Projects

    Pages 65-75

    Morley, Katharine (et al.)

Buy this book

eBook  
  • ISBN 978-3-030-47994-7
  • This book is an open access book, you can download it for free on link.springer.com
Hardcover 51,99 €
price for Spain (gross)
  • ISBN 978-3-030-47993-0
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Leveraging Data Science for Global Health
Editors
  • Leo Anthony Celi
  • Maimuna S. Majumder
  • Patricia Ordoñez
  • Juan Sebastian Osorio
  • Kenneth E. Paik
  • Melek Somai
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s)
eBook ISBN
978-3-030-47994-7
DOI
10.1007/978-3-030-47994-7
Hardcover ISBN
978-3-030-47993-0
Edition Number
1
Number of Pages
XII, 475
Number of Illustrations
21 b/w illustrations, 175 illustrations in colour
Topics

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