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Leveraging Data Science for Global Health

Overview of attention for book
Cover of 'Leveraging Data Science for Global Health'

Table of Contents

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    Book Overview
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    Chapter 2 An Introduction to Design Thinking and an Application to the Challenges of Frail, Older Adults
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    Chapter 6 From Causal Loop Diagrams to System Dynamics Models in a Data-Rich Ecosystem
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    Chapter 17 Biomedical Signal Processing: An ECG Application
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    Chapter 18 A Practical Approach to Digital Transformation: A Guide to Health Institutions in Developing Countries
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    Chapter 21 Data Integration for Urban Health
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    Chapter 22 Ethics in Health Data Science
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    Chapter 24 A Digital Tool to Improve Patient Recruitment and Retention in Clinical Trials in Rural Colombia—A Preliminary Investigation for Cutaneous Leishmaniasis Research at Programa de Estudio y Control de Enfermedades Tropicales (PECET)
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    Chapter 25 A Data-Driven Approach for Addressing Sexual and Reproductive Health Needs Among Youth Migrants
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    Chapter 28 Using Non-traditional Data Sources for Near Real-Time Estimation of Transmission Dynamics in the Hepatitis-E Outbreak in Namibia, 2017–2018
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    Chapter 29 Building a Data Science Program Through Hackathons and Informal Training in Puerto Rico
Attention for Chapter 28: Using Non-traditional Data Sources for Near Real-Time Estimation of Transmission Dynamics in the Hepatitis-E Outbreak in Namibia, 2017–2018
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Citations

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2 Mendeley
Summary Dimensions citations
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Chapter title
Using Non-traditional Data Sources for Near Real-Time Estimation of Transmission Dynamics in the Hepatitis-E Outbreak in Namibia, 2017–2018
Chapter number 28
Book title
Leveraging Data Science for Global Health
Published by
Springer, Cham, August 2020
DOI 10.1007/978-3-030-47994-7_28
Book ISBNs
978-3-03-047993-0, 978-3-03-047994-7
Authors

Michael Morley, Maiamuna S. Majumder, Tony Gallanis, Joseph Wilson

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Unknown 2 100%

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