Leveraging Data Science for Global Health [electronic resource]

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Tác giả: Leo Anthony Celi, Maimuna S Majumder, Ordóñez Patricia., Juan Sebastian Osorio, Kenneth E Paik, Melek Somai

Ngôn ngữ: ger

ISBN-13: 978-3030479947

Ký hiệu phân loại: 502.85 Miscellany

Thông tin xuất bản: Cham : Springer International Publishing : Imprint: Springer, 2020

Mô tả vật lý: XII, 475 p. 196 illus., 175 illus. in color. , online resource.

Bộ sưu tập: Tài liệu truy cập mở

ID: 169044

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.
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