Leveraging Data Science for Global Health 1

bokomslag Leveraging Data Science for Global Health

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475 sidor
2020

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.

Författare: Leo Anthony Celi, Maimuna S Majumder, Patricia Ordóñez, Juan Sebastian Osorio, Kenneth E Paik
Format: Pocket/Paperback
ISBN: 9783030479961
Språk: Engelska
Antal sidor: 475
Utgivningsdatum: 2020-09-18
Förlag: Springer Nature Switzerland AG