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  • Format: ePub

An introduction to the technology of contact tracing and its usefulness for public health, considering questions of efficacy, equity, and privacy. Contact tracing is key to containing and controlling the spread of a virus in a pandemic. South Korea, China, and Singapore were among the few countries that quickly employed contact tracing after the emergence of COVID-19; the United States did not. In People Count, cybersecurity expert Susan Landau offers an accessible examination of the technology and efficacy of contact tracing in a pandemic. Can we repurpose the tracking technology that we…mehr

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Produktbeschreibung
An introduction to the technology of contact tracing and its usefulness for public health, considering questions of efficacy, equity, and privacy. Contact tracing is key to containing and controlling the spread of a virus in a pandemic. South Korea, China, and Singapore were among the few countries that quickly employed contact tracing after the emergence of COVID-19; the United States did not. In People Count, cybersecurity expert Susan Landau offers an accessible examination of the technology and efficacy of contact tracing in a pandemic. Can we repurpose the tracking technology that we carry with us--devices with GPS, Wi-Fi, Bluetooth, and social media connectivity--to serve public health in a pandemic?

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Autorenporträt
Susan Landau is Bridge Professor of Cyber Security and Policy at The Fletcher School and at the School of Engineering, Department of Computer Science, at Tufts University. She is the coauthor of Privacy on the Line (MIT Press) and the author of Surveillance or Security? (MIT Press) and Listening In: Cybersecurity in an Insecure Age.
Rezensionen
"In a pandemic, good science is what we need. Now, a year and a half later, in People Count: Contact Tracing Apps and Public Health, Tufts University professor Susan Landau has set out to make a sober assessment."
ZDNET

"Contact-tracing apps can be a useful tool for public health, but they have considerable false positive and false negative rates."
Big Think