Leveraging Data Science for Global Health - Leo Anthony Celi

Leveraging Data Science for Global Health

By: Leo Anthony Celi (Editor), Maimuna S. Majumder (Editor), Patricia Ordóñez (Editor)

Paperback | 18 September 2020

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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.



Industry Reviews
"This book seems to empower the reader to gradually embark on the development of medical applications incorporating data science. ... This book is well structured, written with a good level of linguistic guts, and could be recommended to data science students rather than researchers or health professionals." (Thierry Edoh, Computing Reviews, March 24, 2022)

Other Editions and Formats

Hardcover

Published: 1st August 2020

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