Scheduling Proximity Data Exchange for Contact Tracing

There are several contact tracing solutions, some are for closed user groups, some are for the residents of a country, and some are open solutions with no clear boundary defined. These independent solutions are not adequate to support pre-pandemic global mobility. Ideally, what is needed is a global solution that can support decentralized control over data and at the same time support proximity data exchange among Apps developed by different vendors and for different countries. This paper proposes a family of contact tracing designs with low-risk anonymity that includes a centralized design, a distributed design, and a federated design for global solution.

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Novel Distributed and Federated Contact Tracing Systems – A Global Solution

10.36227/techrxiv.14661138.v1 ◽

2021 ◽

Author(s):

Hari T S Narayanan

Keyword(s):

Global Solution ◽

Decentralized Control ◽

Data Exchange ◽

Low Risk ◽

Contact Tracing ◽

Distributed Design ◽

Proximity Data ◽

Global Mobility ◽

User Groups

There are several contact tracing solutions, some are for closed user groups, some are for the residents of a country, and some are open solutions with no clear boundary defined. These independent solutions are not adequate to support pre-pandemic global mobility. Ideally, what is needed is a global solution that can support decentralized control over data and at the same time support proximity data exchange among Apps developed by different vendors and for different countries. This paper proposes a family of contact tracing designs with low-risk anonymity that includes a centralized design, a distributed design, and a federated design for global solution.

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A Novel Distributed and Federated Digital Contact Tracing Systems

10.36227/techrxiv.14661138.v2 ◽

2021 ◽

Author(s):

Hari T S Narayanan

Keyword(s):

Global Solution ◽

Decentralized Control ◽

Data Exchange ◽

Low Risk ◽

Contact Tracing ◽

Distributed Design ◽

Proximity Data ◽

Global Mobility ◽

User Groups

There are several contact tracing solutions, some are for closed user groups, some are for the residents of a country, and some are open solutions with no clear boundary defined. These independent solutions are not adequate to support pre-pandemic global mobility. Ideally, what is needed is a global solution that can support decentralized control over data and at the same time support proximity data exchange among Apps developed by different vendors and for different countries. This paper proposes a family of contact tracing designs with low-risk anonymity that includes a centralized design, a distributed design, and a federated design for global solution.

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Contact Tracing: a game of big numbers in the time of COVID-19

10.1101/2020.04.22.20071043 ◽

2020 ◽

Cited By ~ 3

Author(s):

Hyunju Kim ◽

Ayan Paul

Keyword(s):

Mobile Devices ◽

Optimal Solution ◽

Social Structures ◽

Contact Tracing ◽

Potential Danger ◽

Crucial Importance ◽

Minimum Threshold ◽

Proximity Data ◽

Slowing Down ◽

Personal Mobile Devices

ABSTRACTOne of the more widely advocated solutions to slowing down the spread of COVID-19 has been automated contact tracing. Since proximity data can be collected by personal mobile devices, the natural proposal has been to use this for contact tracing as this provides a major gain over a manual implementation. In this work, we study the characteristics of automated contact tracing and its effectiveness for mapping the spread of a pandemic due to the spread of SARS-CoV-2. We highlight the infrastructure and social structures required for automated contact tracing to work for the current pandemic. We display the vulnerabilities of the strategy to inadequately sample the population, which results in the inability to sufficiently determine significant contact with infected individuals. Of crucial importance will be the participation of a significant fraction of the population for which we derive a minimum threshold. We conclude that a strong reliance on contact tracing to contain the spread of the SARS-CoV-2 pandemic can lead to the potential danger of allowing the pandemic to spread unchecked. A carefully thought out strategy for controlling the spread of the pandemic along with automated contact tracing can lead to an optimal solution.

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Small-world phenomenon: toward an analytical model for data exchange in Product Lifecycle Management

International Journal of Internet Manufacturing and Services ◽

10.1504/ijims.2008.021195 ◽

2008 ◽

Vol 1 (3) ◽

pp. 213 ◽

Cited By ~ 5

Author(s):

Zhengxu Zhao ◽

Lee Zhuo Zhao

Keyword(s):

Analytical Model ◽

Data Exchange ◽

Small World ◽

Product Lifecycle Management ◽

Product Lifecycle ◽

Lifecycle Management

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Social network heterogeneity is essential for contact tracing

10.1101/2020.06.05.20123141 ◽

2020 ◽

Cited By ~ 4

Author(s):

Bjarke Frost Nielsen ◽

Kim Sneppen ◽

Lone Simonsen ◽

Joachim Mathiesen

Keyword(s):

Social Network ◽

Social Structure ◽

Mitigation Strategy ◽

Mitigation Strategies ◽

Contact Tracing ◽

Activity Levels ◽

Proximity Data ◽

Personal Mobility ◽

Network Heterogeneity ◽

The Social

Contact tracing is suggested as an effective strategy for controlling an epidemic without severely limiting personal mobility. Here, we explore how social structure affects contact tracing of COVID-19. Using smartphone proximity data, we simulate the spread of COVID-19 and find that heterogeneity in the social network and activity levels of individuals decreases the severity of an epidemic and improves the effectiveness of contact tracing. As a mitigation strategy, contact tracing depends strongly on social structure and can be remarkably effective, even if only frequent contacts are traced. In perspective, this highlights the necessity of incorporating social heterogeneity into models of mitigation strategies.

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