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About:
A Fully Distributed, Privacy Respecting Approach for Back-tracking of Potentially Infectious Contacts
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An Entity of Type :
schema:ScholarlyArticle
, within Data Space :
covidontheweb.inria.fr
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document(s)
Type:
Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
A Fully Distributed, Privacy Respecting Approach for Back-tracking of Potentially Infectious Contacts
Creator
Org,
Berlin, T
Awo@ieee, ;
Berlin, Ecdf
Fellow, ;
»more»
Source
ArXiv
abstract
In limiting the rapid spread of highly infectious diseases like Covid-19 means to immediately identify individuals who had been in contact with a newly diagnosed infected person have proven to be important. Such potential victims can go into quarantine until tested thus constraining further spread. This note describes a concept of mobile device (e.g. Smart phones) based approach for tracking interpersonal contacts which might have led to infection and alerting the potential victims. The approach assures means for defense against malicious usage while assuring a high level of privacy for all people involved.
has issue date
2020-03-31
(
xsd:dateTime
)
has license
arxiv
sha1sum (hex)
19cf3796f2b87a2216d1134f7202ce83f9ccf63b
resource representing a document's title
A Fully Distributed, Privacy Respecting Approach for Back-tracking of Potentially Infectious Contacts
resource representing a document's body
covid:19cf3796f2b87a2216d1134f7202ce83f9ccf63b#body_text
is
schema:about
of
named entity 'NEWLY DIAGNOSED'
named entity 'HAVE'
named entity 'CONTACTS'
named entity 'infection'
named entity 'concept'
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