國立虎尾科技大學 |

Smittestopp − A Case Study on Digital Contact Tracing

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Smittestopp − A Case Study on Digital Contact Tracing/ edited by Ahmed Elmokashfi, Olav Lysne, Valeriya Naumova.
其他作者:	Elmokashfi, Ahmed.
面頁冊數:	XI, 141 p. 49 illus., 42 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Mathematics—Data processing. -
電子資源:	https://doi.org/10.1007/978-3-031-05466-2
ISBN:	9783031054662

Smittestopp − A Case Study on Digital Contact Tracing
Smittestopp − A Case Study on Digital Contact Tracing[electronic resource] /edited by Ahmed Elmokashfi, Olav Lysne, Valeriya Naumova. - 1st ed. 2022. - XI, 141 p. 49 illus., 42 illus. in color.online resource. - Simula SpringerBriefs on Computing,112512-1685 ;. - Simula SpringerBriefs on Computing,1.

Introduction -- Smittestopp for Android and iOS -- Smittestopp Backend -- Smittestopp Analytics: Analysis of Position Data -- Using Bluetooth for Contact Tracking -- Digital Tracing, validation, and reporting -- Data Aggregation and Anonymization for Mathematical Modeling and Epidemilogical Studies.

Open Access

This open access book describes Smittestopp, the first Norwegian system for digital contact tracing of Covid-19 infections, which was developed in March and early April 2020. The system was deployed after five weeks of development and was active for a little more than two months, when a drop in infection levels in Norway and privacy concerns led to shutting it down. The intention of this book is twofold. First, it reports on the design choices made in the development phase. Second, as one of the only systems in the world that collected population data into a central database and which was used for an entire population, we can share experience on how the design choices impacted the system's operation. By sharing lessons learned and the challenges faced during the development and deployment of the technology, we hope that this book can be a valuable guide for experts from different domains, such as big data collection and analysis, application development, and deployment in a national population, as well as digital tracing.

ISBN: 9783031054662

Standard No.: 10.1007/978-3-031-05466-2doiSubjects--Topical Terms:

1365953
Mathematics—Data processing.

LC Class. No.: QA71-90

Dewey Class. No.: 518

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