Leveraging Data Science for Global Health (1st ed. 2020)
By: and and and and and
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- Synopsis
- 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.
- Copyright:
- 2020
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783030479947
- Related ISBNs:
- 9783030479930
- Publisher:
- Springer International Publishing
- Date of Addition:
- 08/04/20
- Copyrighted By:
- Springer
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Business and Finance, Medicine
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Leo Anthony Celi
- Edited by:
- Maimuna S. Majumder
- Edited by:
- Patricia Ordóñez
- Edited by:
- Juan Sebastian Osorio
- Edited by:
- Kenneth E. Paik
- Edited by:
- Melek Somai
Reviews
Other Books
- by Leo Anthony Celi
- by Maimuna S. Majumder
- by Patricia Ordóñez
- by Juan Sebastian Osorio
- by Kenneth E. Paik
- by Melek Somai
- in Nonfiction
- in Business and Finance
- in Medicine