Leveraging Data Science for Global Health (1st ed. 2020)

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