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Erschienen in:
Existent Sources of Data for Global Health and Epidemiology Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

6. Introduction to Privacy-Preserving Data Collection and Sharing Methods for Global Health Research

verfasst von : Guanhong Miao, Hanzhi Gao, Yan Wang, Samuel S. Wu

Erschienen in: Statistical Methods for Global Health and Epidemiology

Verlag: Springer International Publishing

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Abstract

In global health and epidemiological research, collecting and sharing data for sensitive topics, such as income, age, sex partners, drug use, HIV infection, stigma, and religion, has been a long-standing challenge. In this chapter, we introduce a range of methods for privacy-preserving data collection and sharing. After a comprehensive review of the classic randomized response techniques and related extensions, we present a new privacy-preserving data collection method capitalizing on the matrix masking theory. In addition to an introduction to the theory and principles, examples are used to illustrate the procedures in applying the method in practice.

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Vorheriges Kapitel Integrative Data Analysis and the Study of Global Health
Nächstes Kapitel Geographic Mapping for Global Health Research
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Metadaten
Titel
Introduction to Privacy-Preserving Data Collection and Sharing Methods for Global Health Research
verfasst von
Guanhong Miao
Hanzhi Gao
Yan Wang
Samuel S. Wu
Copyright-Jahr
2020
Buch
Statistical Methods for Global Health and Epidemiology

Print ISBN: 978-3-030-35259-2

Electronic ISBN: 978-3-030-35260-8

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-35260-8_6

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