scholarly journals Safe contact tracing for COVID-19: A method without privacy breach using functional encryption techniques based-on spatio-temporal trajectory data

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0242758
Author(s):  
Wooil Kim ◽  
Hyubjin Lee ◽  
Yon Dohn Chung
Keyword(s):  
Early Detection ◽  
South Korea ◽  
Contact Tracing ◽  
Functional Encryption ◽  
Trajectory Data ◽  
The Public ◽  
Privacy Breach ◽  
Spatio Temporal ◽  
Temporal Trajectory ◽  
Tracing Method

The COVID-19 pandemic has spread all over the globe. In the absence of a vaccine, a small number of countries have managed to control the diffusion of viruses by early detection and early quarantine. South Korea, one of the countries which have kept the epidemics well-controlled, has opened the infected patients’ trajectory to the public. Such a reaction has been regarded as an effective method, however, serious privacy breach cases have been issued in South Korea. Furthermore, some suspected contacts have refused to take infection tests because they are afraid of being exposed. To solve this problem, we propose a privacy-preserving contact tracing method based on spatio-temporal trajectory which can be practically used in many quarantine systems. In addition, we develop a system to visualize the contact tracing workflow.

scholarly journals Safe contact tracing for COVID-19: A method without privacy breach using functional encryption techniques based-on spatio-temporal trajectory data

2020 ◽  
Author(s):  
Wooil Kim ◽  
Hyubjin Lee ◽  
Yon Dohn Chung
Keyword(s):  
Early Detection ◽  
South Korea ◽  
Contact Tracing ◽  
Functional Encryption ◽  
Trajectory Data ◽  
The Public ◽  
Privacy Breach ◽  
Spatio Temporal ◽  
Temporal Trajectory ◽  
Tracing Method

The COVID-19 pandemic has spread all over the globe. In the absence of a vaccine, a small number of countries have managed to control the diffusion of viruses by early detection and early quarantine. South Korea, one of the countries which have kept the epidemics well-controlled, has opened the infected patients' trajectory to the public. Such a reaction has been regarded as an effective method, however, serious privacy breach cases have been issued in South Korea. Furthermore, some suspected contacts have refused to take infection tests because they are afraid of being exposed. To solve this problem, we propose a privacy-preserving contact tracing method based on spatio-temporal trajectory which can be practically used in many quarantine systems. In addition, we develop a system to visualize the contact tracing workflow.

Online Approach for Spatio-Temporal Trajectory Data Reduction for Portable Devices

2013 ◽  
Vol 28 (4) ◽  
pp. 597-604 ◽  
Author(s):  
Heemin Park ◽  
Young-Jun Lee ◽  
Jinseok Chae ◽  
Wonik Choi
Keyword(s):  
Data Reduction ◽  
Portable Devices ◽  
Trajectory Data ◽  
Spatio Temporal ◽  
Temporal Trajectory

scholarly journals A Hybrid Method to Incrementally Extract Road Networks Using Spatio-Temporal Trajectory Data

2020 ◽  
Vol 9 (4) ◽  
pp. 186
Author(s):  
Yunfei Zhang ◽  
Zexu Zhang ◽  
Jincai Huang ◽  
Tingting She ◽  
Min Deng ◽  
...  
Keyword(s):  
Hybrid Method ◽  
Human Life ◽  
Rapid Development ◽  
Road Networks ◽  
Urban Traffic ◽  
Force Model ◽  
Trajectory Data ◽  
Incremental Change ◽  
Spatio Temporal ◽  
Temporal Trajectory

With the rapid development of urban traffic, accurate and up-to-date road maps are in crucial demand for daily human life and urban traffic control. Recently, with the emergence of crowdsourced mapping, a surge in academic attention has been paid to generating road networks from spatio-temporal trajectory data. However, most existing methods do not explore changing road patterns contained in multi-temporal trajectory data and it is still difficult to satisfy the precision and efficiency demands of road information extraction. Hence, in this paper, we propose a hybrid method to incrementally extract urban road networks from spatio-temporal trajectory data. First, raw trajectory data were partitioned into K time slices and were used to initialize K-temporal road networks by a mathematical morphology method. Then, the K-temporal road networks were adjusted according to a gravitation force model so as to amend their geometric inconsistencies. Finally, road networks were geometrically delineated using the k-segment fitting algorithm, and the associated road attributes (e.g., road width and driving rule) were inferred. Several case studies were examined to demonstrate that our method can effectively improve the efficiency and precision of road extraction and can make a significant attempt to mine the incremental change patterns in road networks from spatio-temporal trajectory data to help with road map renewal.

scholarly journals Social Distancing and Outdoor Physical Activity During the COVID-19 Outbreak in South Korea: Implications for Physical Distancing Strategies

2020 ◽  
Vol 32 (6-7) ◽  
pp. 360-362 ◽  
Author(s):  
Sunhee Park ◽  
Beomsoo Kim ◽  
Jaeil Lee
Keyword(s):  
Physical Activity ◽  
South Korea ◽  
Surface Cleaning ◽  
Contact Tracing ◽  
Social Distancing ◽  
The Public ◽  
Positive Effects ◽  
The Social ◽  
Novel Coronavirus ◽  
Bicycle Sharing System

The novel coronavirus disease (COVID-19) outbreak has put the entire world in a pandemic situation. In response, strict screening, quarantine protocols, and contact tracing have been conducted in South Korea. The purpose of this study was to examine effects of social distancing on the Public Bicycle Sharing System (PBSS) during the COVID-19 outbreak. We used the PBSS public dataset of Seoul, South Korea. Difference-in-differences (DID) analysis was used. In the DID approach, the 2 groups are distinguished based on designated year. Cases of PBSS use were observed in 2 time periods: pre- and post-strict social distancing in Seoul, Korea. Average PBSS usage per day doubled during 2019-2020 (30 697 vs 77 996, P < .001). Commuters and weekend users increased during the social distancing period in 2020 compared with the same period in 2019. DID analysis showed statistically significant positive effects of high levels of social distancing on PBSS usage, commuters, weekend users, and new subscribers. In conclusion, social distancing during the COVID-19 outbreak increased outdoor physical activity. Meaningful outdoor physical activity during the COVID-19 pandemic can be safe from infection and psychologically stabilized as long as keeping meticulous physical distancing, such as hand hygiene, wearing facial masks, and surface cleaning of public resources.

scholarly journals A novel social distancing analysis in urban public space: A new online spatio-temporal trajectory approach

2021 ◽  
Vol 68 ◽  
pp. 102765
Author(s):  
Jie Su ◽  
Xiaohai He ◽  
Linbo Qing ◽  
Tong Niu ◽  
Yongqiang Cheng ◽  
...  
Keyword(s):  
Public Space ◽  
Urban Public Space ◽  
Social Distancing ◽  
Trajectory Approach ◽  
Spatio Temporal ◽  
Temporal Trajectory
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