Hidden Bibliographic Details
| Other authors / contributors: | Celi, Leo Anthony G.
Majumder, Maimuna S.
Ordóñez, Patricia.
Osorio, Juan Sebastián.
Paik, Kenneth.
Somai, Melek.
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| ISBN: | 9783030479947
3030479943
3030479935
9783030479930
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| Notes: | Includes bibliographical references and index.
Open access.
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| Summary: | 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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| Other form: | Print version: Leveraging data science for global health. Cham : Springer, 2020 3030479935 9783030479930
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| Standard no.: | 10.1007/978-3-030-47994-7
10.1007/978-3-030-47
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