Description: Leveraging Data Science for Global Health Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Leo Anthony Celi, Maimuna S. Majumder, Patricia Ordonez, Juan Sebastian Osorio, Kenneth E. Paik, Melek Somai Format: Hardback Publisher: Springer Nature Switzerland AG, Switzerland Imprint: Springer Nature Switzerland AG ISBN-13: 9783030479930, 978-3030479930 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.
Price: 37.86 GBP
Location: Aldershot
End Time: 2025-01-29T09:06:25.000Z
Shipping Cost: 25.1 GBP
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Book Title: Leveraging Data Science for Global Health
Number of Pages: 475 Pages
Publication Name: Leveraging Data Science for Global Health
Language: English
Publisher: Springer Nature Switzerland A&G
Item Height: 235 mm
Subject: Medicine, Economics
Publication Year: 2020
Type: Textbook
Item Weight: 893 g
Subject Area: Health Education
Author: Melek Somai, Maimuna S. Majumder, Leo Anthony Celi, Kenneth E. Paik, Juan Sebastian Osorio, Patricia Ordonez
Item Width: 155 mm
Format: Hardcover
