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

Kim, Wooil; Lee, Hyubjin; Chung, Yon Dohn

doi:10.1371/journal.pone.0242758

Cited by 18 publications

(11 citation statements)

References 4 publications

(8 reference statements)

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“…A comparison between Figures 5,6,9,10 and Figures 7,8,11,12 shows that the MAB rates and test rates increase as the population becomes less cooperative. The reason is that with non-cooperative individuals, we are forced to use supercells to correctly detect the spread of the disease.…”

Section: Resultsmentioning

confidence: 97%

“…A comparison between Figures 5,7,9,11 and Figures 6,8,10,12 shows that as the population becomes denser, each individual is connected with more direct neighbors and therefore has a larger chance of spreading the disease. Thus, the radius of the pandemic tends to be larger.…”

Section: Resultsmentioning

confidence: 99%

“…Reference [11] found that testing at a higher rate in conjunction with targeted quarantine policies can dampen the economic impact of the coronavirus and reduce infection peak. Digital contact tracing [12,13] has been widely adopted to identify the high-risk individuals who have been in close contact with disease carriers. However, it requires testing all potentially infected people, and it also requires processing a large number of traveling data.…”

Section: Related Workmentioning

confidence: 99%

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An Efficient Geometric Search Algorithm of Pandemic Boundary Detection

Zhang

Huang

2021

Algorithms

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We consider a scenario where the pandemic infection rate is inversely proportional to the power of the distance between the infected region and the non-infected region. In our study, we analyze the case where the exponent of the distance is 2, which is in accordance with Reilly’s law of retail gravitation. One can test for infection but such tests are costly so one seeks to determine the region of infection while performing few tests. Our goal is to find a boundary region of minimal size that contains all infected areas. We discuss efficient algorithms and provide the asymptotic bound of the testing cost and simulation results for this problem.

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Section: Resultsmentioning

confidence: 97%

Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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An Efficient Geometric Search Algorithm of Pandemic Boundary Detection

Zhang

Huang

2021

Algorithms

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“…Researchers in China identified similar challenges to those found in the US, including data privacy protection issues [ 63 ]. Some countries’ solutions to these challenges used sophisticated technological approaches to preserve privacy while benefitting from mobile phone-based surveillance [ 94 , 95 ].…”

Section: Resultsmentioning

confidence: 99%

Keep Moving Forward: Health Informatics and Information Management beyond the COVID-19 Pandemic

Massoudi

Sobolevskaia

2021

Yearb Med Inform

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Objectives: To identify gaps and challenges in health informatics and health information management during the COVID-19 pandemic. To describe solutions and offer recommendations that can address the identified gaps and challenges. Methods: A literature review of relevant peer-reviewed and grey literature published from January 2020 to December 2020 was conducted to inform the paper. Results: The literature revealed several themes regarding health information management and health informatics challenges and gaps: information systems and information technology infrastructure; data collection, quality, and standardization; and information governance and use. These challenges and gaps were often driven by public policy and funding constraints. Conclusions: COVID-19 exposed complexities related to responding to a world-wide, fast moving, quickly spreading novel virus. Longstanding gaps and ongoing challenges in the local, national, and global health and public health information systems and data infrastructure must be addressed before we are faced with another global pandemic.

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“…A total of 27.7% of participants (31) were employed in hospitals, 17.9% (20) in NGOs, 44.6% (50) in Primary Health Care units and municipalities, and 9.8% (11) in reception and identification refugee Camps. Regarding their working experiences, 54.4% were employed in their current position for up to three years, whereas 45.5% were employed for over three years.…”

Section: Section 1 General Informationmentioning

confidence: 99%

Appraisal of a Contact Tracing Training Program for COVID-19 in Greece Focusing on Vulnerable Populations

Riza

Kakalou

Nitsa

et al. 2021

IJERPH

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Background: Contact tracing as an epidemiological strategy has repeatedly contributed to the containment of various past epidemics and succeeded in controlling the spread of disease in the community. Systematic training of contact tracers is crucial in ensuring the effectiveness of epidemic containment. Methods: An intensive training course was offered to 216 health and other professionals who work with vulnerable population groups, such as Roma, refugees, and migrants in Greece, by the scientific team of the postgraduate programme “Global Health-Disaster Medicine” of the Medical School, National and Kapodistrian University of Athens, with the support of the Swiss embassy in Greece. The course was delivered online due to the pandemic restriction measures and was comprised of 16 h over 2 days. The course curriculum was adapted in Greek using, upon agreement, a similar training course to what was developed by the Johns Hopkins University Bloomberg School of Public Health. Evaluation of the course was conducted in order to determine the short term satisfaction from participating in this training course. Results: A total of 70% of the course participants completed the evaluation questionnaires and all trainers gave feedback on the course. The training modules were ranked as extremely useful by the majority of the participants and over 50% of the participants specifically stated that the course content was directly related to their work with vulnerable groups. Content about the ethics of contact tracing and the effective communication skills presented were deemed most useful. Conclusion: The course was well organised and provided the required skills for effective contact tracing. Many course participants intend to use some components in their work with vulnerable populations groups. Contact tracing efforts work best in a systematic and coordinated way and the provision of systematic and organised training can greatly increase its effectiveness.

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

Cited by 18 publications

References 4 publications

An Efficient Geometric Search Algorithm of Pandemic Boundary Detection

An Efficient Geometric Search Algorithm of Pandemic Boundary Detection

Keep Moving Forward: Health Informatics and Information Management beyond the COVID-19 Pandemic

Appraisal of a Contact Tracing Training Program for COVID-19 in Greece Focusing on Vulnerable Populations

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