Details

Autor(en) / Beteiligte

• Celi, Leo Anthony
• Majumder, Maimuna S
• Ordóñez, Patricia
• Osorio, Juan Sebastian
• Paik, Kenneth E
• Somai, Melek

Titel

Leveraging Data Science for Global Health

Ort / Verlag

Springer Nature

Erscheinungsjahr

2020

Beschreibungen/Notizen

• Open Access
• 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
• English