contact tracing
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2022 ◽  
Vol 8 (2) ◽  
pp. 1-35
Author(s):  
Fumiyuki Kato ◽  
Yang Cao ◽  
Mastoshi Yoshikawa

Existing Bluetooth-based private contact tracing (PCT) systems can privately detect whether people have come into direct contact with patients with COVID-19. However, we find that the existing systems lack functionality and flexibility , which may hurt the success of contact tracing. Specifically, they cannot detect indirect contact (e.g., people may be exposed to COVID-19 by using a contaminated sheet at a restaurant without making direct contact with the infected individual); they also cannot flexibly change the rules of “risky contact,” such as the duration of exposure or the distance (both spatially and temporally) from a patient with COVID-19 that is considered to result in a risk of exposure, which may vary with the environmental situation. In this article, we propose an efficient and secure contact tracing system that enables us to trace both direct contact and indirect contact. To address the above problems, we need to utilize users’ trajectory data for PCT, which we call trajectory-based PCT . We formalize this problem as a spatiotemporal private set intersection that satisfies both the security and efficiency requirements. By analyzing different approaches such as homomorphic encryption, which could be extended to solve this problem, we identify the trusted execution environment (TEE) as a candidate method to achieve our requirements. The major challenge is how to design algorithms for a spatiotemporal private set intersection under the limited secure memory of the TEE. To this end, we design a TEE-based system with flexible trajectory data encoding algorithms. Our experiments on real-world data show that the proposed system can process hundreds of queries on tens of millions of records of trajectory data within a few seconds.


2022 ◽  
Vol 8 (2) ◽  
pp. 1-27
Author(s):  
Qiang Tang

In the current COVID-19 pandemic, manual contact tracing has been proven to be very helpful to reach close contacts of infected users and slow down spread of the virus. To improve its scalability, a number of automated contact tracing (ACT) solutions have been proposed, and some of them have been deployed. Despite the dedicated efforts, security and privacy issues of these solutions are still open and under intensive debate. In this article, we examine the ACT concept from a broader perspective, by focusing on not only security and privacy issues but also functional issues such as interface, usability, and coverage. We first elaborate on these issues and particularly point out the inevitable privacy leakages in existing Bluetooth Low Energy based ACT solutions, including centralized and decentralized ones. In addition, we examine the existing venue-based ACT solutions and identify their privacy and security concerns. Then, we propose a generic venue-based ACT solution and a concrete instantiation based on Bluetooth Low Energy technology. Our solution monitors users’ contacting history only in virus-spreading-prone venues and offers higher-level protection for both security and privacy than its predecessors. Finally, we evaluate our solution from security, privacy, and efficiency perspectives, and also highlight how to reduce false positives in some specific indoor environments.


2023 ◽  
Vol 55 (1) ◽  
pp. 1-36
Author(s):  
Fabrizio Cicala ◽  
Weicheng Wang ◽  
Tianhao Wang ◽  
Ninghui Li ◽  
Elisa Bertino ◽  
...  

Many proximity-based tracing (PCT) protocols have been proposed and deployed to combat the spreading of COVID-19. In this article, we take a systematic approach to analyze PCT protocols. We identify a list of desired properties of a contact tracing design from the four aspects of Privacy, Utility, Resiliency, and Efficiency (PURE). We also identify two main design choices for PCT protocols: what information patients report to the server and which party performs the matching . These two choices determine most of the PURE properties and enable us to conduct a comprehensive analysis and comparison of the existing protocols.


Viruses ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 158
Author(s):  
Ugo Avila-Ponce de León ◽  
Eric Avila-Vales ◽  
Kuanlin Huang

In a population with ongoing vaccination, the trajectory of a pandemic is determined by how the virus spreads in unvaccinated and vaccinated individuals that exhibit distinct transmission dynamics based on different levels of natural and vaccine-induced immunity. We developed a mathematical model that considers both subpopulations and immunity parameters, including vaccination rates, vaccine effectiveness, and a gradual loss of protection. The model forecasted the spread of the SARS-CoV-2 delta variant in the US under varied transmission and vaccination rates. We further obtained the control reproduction number and conducted sensitivity analyses to determine how each parameter may affect virus transmission. Although our model has several limitations, the number of infected individuals was shown to be a magnitude greater (~10×) in the unvaccinated subpopulation compared to the vaccinated subpopulation. Our results show that a combination of strengthening vaccine-induced immunity and preventative behavioral measures like face mask-wearing and contact tracing will likely be required to deaccelerate the spread of infectious SARS-CoV-2 variants.


Author(s):  
Sofia Perea ◽  
Kyle Tretina ◽  
Kirk N. O’Donnell ◽  
Rebecca Love ◽  
Gabor Bethlendy ◽  
...  

Abstract Background: As of March 2020, governments throughout the world implemented business closures, work from home policies, and school closures due to exponential increase of coronavirus disease 2019 (COVID-19) cases, leaving only essential workers being able to work on site. For most of the children and adolescent school closures during the first lockdown had significant physical and psychosocial consequences. Here, we describe a comprehensive Return to School program based on a behavior safety protocol combined with the use of saliva-based reverse transcriptase-polymerase chain reaction (RT-PCR) pooled screening technique to keep schools opened. Methods: The program had 2 phases: before school (safety and preparation protocols) and once at school (disease control program: saliva-based RT-PCR pooled screening protocol and contact tracing). Pooling: Aliquots of saliva from 24 individuals were pooled and 1 RT-PCR test was performed. If positive, the initial 24-pool was then retested (12 pools of 2). Individual RT-PCR tests from saliva samples from positive pools of 2 were performed to get an individual diagnosis. Results: From August 31 until December 20, 2020 (16-wk period) a total of 3 pools, and subsequent 3 individual diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease were reported (2 teachers and 1 staff). Conclusion: Until COVID-19 vaccine can be administered broadly to all-age children, saliva-based RT-PCR pooling testing is the missing piece we were searching for to keep schools opened.


Author(s):  
Ligia A. Pinto ◽  
Ribhi M. Shawar ◽  
Brendan O’Leary ◽  
Troy J. Kemp ◽  
James Cherry ◽  
...  

The SARS-CoV-2 pandemic created a crucial need for accurate serology assays to evaluate seroprevalence, contact tracing, and antiviral immune responses. The initial flood of serology assays entering the market with inadequate performance emphasized the need for independent evaluation of commercial SARS-CoV-2 antibody assays using performance evaluation panels to determine suitability for use under emergency use authorization (EUA).


2022 ◽  
Author(s):  
Sam Abbott ◽  
Katharine Sherratt ◽  
Moritz Gerstung ◽  
Sebastian Funk

Background Early estimates from South Africa indicated that the Omicron COVID-19 variant may be both more transmissible and have greater immune escape than the previously dominant Delta variant. The rapid turnover of the latest epidemic wave in South Africa as well as initial evidence from contact tracing and household infection studies has prompted speculation that the generation time of the Omicron variant may be shorter in comparable settings than the generation time of the Delta variant. Methods We estimated daily growth rates for the Omicron and Delta variants in each UKHSA region from the 23rd of November to the 23rd of December 2021 using surveillance case counts by date of specimen and S-gene target failure status with an autoregressive model that allowed for time-varying differences in the transmission advantage of the Delta variant where the evidence supported this. By assuming a gamma distributed generation distribution we then estimated the generation time distribution and transmission advantage of the Omicron variant that would be required to explain this time varying advantage. We repeated this estimation process using two different prior estimates for the generation time of the Delta variant first based on household transmission and then based on its intrinsic generation time. Results Visualising our growth rate estimates provided initial evidence for a difference in generation time distributions. Assuming a generation time distribution for Delta with a mean of 2.5-4 days (90% credible interval) and a standard deviation of 1.9-3 days we estimated a shorter generation time distribution for Omicron with a mean of 1.5-3.2 days and a standard deviation of 1.3-4.6 days. This implied a transmission advantage for Omicron in this setting of 160%-210% compared to Delta. We found similar relative results using an estimate of the intrinsic generation time for Delta though all estimates increased in magnitude due to the longer assumed generation time. Conclusions We found that a reduction in the generation time of Omicron compared to Delta was able to explain the observed variation over time in the transmission advantage of the Omicron variant. However, this analysis cannot rule out the role of other factors such as differences in the populations the variants were mixing in, differences in immune escape between variants or bias due to using the test to test distribution as a proxy for the generation time distribution.


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