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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 18: A Practical Approach to Digital Transformation: A Guide to Health Institutions in Developing Countries
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Citations

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17 Dimensions

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18 Mendeley
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Chapter title
A Practical Approach to Digital Transformation: A Guide to Health Institutions in Developing Countries
Chapter number 18
Book title
Leveraging Data Science for Global Health
Published by
Springer, Cham, August 2020
DOI 10.1007/978-3-030-47994-7_18
Book ISBNs
978-3-03-047993-0, 978-3-03-047994-7
Authors

Alvin B. Marcelo, Marcelo, Alvin B.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 11%
Professor > Associate Professor 2 11%
Student > Doctoral Student 1 6%
Researcher 1 6%
Lecturer 1 6%
Other 0 0%
Unknown 11 61%
Readers by discipline Count As %
Business, Management and Accounting 2 11%
Economics, Econometrics and Finance 2 11%
Computer Science 1 6%
Veterinary Science and Veterinary Medicine 1 6%
Social Sciences 1 6%
Other 1 6%
Unknown 10 56%

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