COVID-19 Contact Tracing & Privacy Protection, We Are on the Way (Preprint)

2020 ◽  
Author(s):  
Jing Fan

UNSTRUCTURED Smartphone-based contact tracing is proven to be effective in epidemic containment. To maintain its utilization meanwhile ensure the protection of personal privacy, different countries came up with different practices, new exploratory solutions may come into real-world practice soon as well.

Author(s):  
Elena Vildjiounaite ◽  
Tapani Rantakokko ◽  
Petteri Alahuhta ◽  
Pasi Ahonen ◽  
David Wright ◽  
...  

Realization of the Ubicomp vision in the real world creates significant threats to personal privacy due to constant information collection by numerous tiny sensors, active information exchange over short and long distances, long-term storage of large quantities of data, and reasoning based on collected and stored data. An analysis of more than 100 Ubicomp scenarios, however, shows that applications are often proposed without considering privacy issues, whereas existing privacy-enhancing technologies mainly have been developed for networked applications and, thus, are not always applicable to emerging applications for smart spaces and personal devices, especially because the users and their data are not spatially separated in such applications. A partial solution to the problem of users’ privacy protection could be to allow users to control how their personal data can be used. The authors’ experience with mobile phone data collection, nevertheless, suggests that when users give their consent for the data collection, they don’t fully understand the possible privacy implications. Thus, application developers should pay attention to privacy protection; otherwise, such problems could result in users not accepting Ubicomp applications. This chapter suggests guidelines for estimating threats to privacy, depending on real world application settings and the choice of technology; and guidelines for the choice and development of technological safeguards against privacy threats.


Author(s):  
Elena Vildjiounaite ◽  
Tapani Rantakokko ◽  
Petteri Alahuhta ◽  
Pasi Ahonen ◽  
David Wright ◽  
...  

Realisation of the Ubicomp vision in the real world creates significant threats to personal privacy due to constant information collection by numerous tiny sensors, active information exchange over short and long distances, long-term storage of large quantities of data, and reasoning based on collected and stored data. An analysis of more than 100 Ubicomp scenarios, however, shows that applications are often proposed without considering privacy issues, whereas existing privacyenhancing technologies mainly have been developed for networked applications and, thus, are not always applicable to emerging applications for smart spaces and personal devices, especially because the users and their data are not spatially separated in such applications. A partial solution to the problem of users’ privacy protection could be to allow users to control how their personal data can be used. The authors’ experience with mobile phone data collection, nevertheless, suggests that when users give their consent for the data collection, they don’t fully understand the possible privacy implications. Thus, application developers should pay attention to privacy protection; otherwise, such problems could result in users not accepting Ubicomp applications. This chapter suggests guidelines for estimating threats to privacy, depending on real world application settings and the choice of technology; and guidelines for the choice and development of technological safeguards against privacy threats.


2020 ◽  
Author(s):  
Ciara Greene ◽  
Gillian Murphy

Previous research has argued that fake news may have grave consequences for health behaviour, but surprisingly, no empirical data have been provided to support this assumption. This issue takes on new urgency in the context of the coronavirus pandemic. In this large preregistered study (N = 3746) we investigated the effect of exposure to fabricated news stories about COVID-19 on related behavioural intentions. We observed small but measurable effects on some related behavioural intentions but not others – for example, participants who read a story about problems with a forthcoming contact-tracing app reported reduced willingness to download the app. We found no effects of providing a general warning about the dangers of online misinformation on response to the fake stories, regardless of the framing of the warning in positive or negative terms. We conclude with a call for more empirical research on the real-world consequences of fake news.


Author(s):  
Kaori Kashimura ◽  
Takafumi Kawasaki Jr. ◽  
Nozomi Ikeya ◽  
Dave Randall

This chapter provides an ethnography of a complex scenario involving the construction of a power plant and, in so doing, tries to show the importance of a practice-based approach to the problem of technical and organizational change. The chapter reports on fieldwork conducted in a highly complex and tightly coupled environment: power plant construction. The ethnography describes work practices on three different sites and describes and analyses their interlocking dependencies, showing the difficulties encountered at each location and the way in which the delays that result cascade through the different sites. It goes on to describe some technological solutions that are associated with augmented reality and that are being designed in response to the insights gained from the fieldwork. The chapter also reflects more generally on the relationship between fieldwork and design in real-world contexts.


2021 ◽  
pp. bmjinnov-2021-000661
Author(s):  
Kelvin K F Tsoi ◽  
Joseph J Y Sung ◽  
Helen W Y Lee ◽  
Karen K L Yiu ◽  
Hong Fung ◽  
...  
Keyword(s):  

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e045886
Author(s):  
Yiying Hu ◽  
Jianying Guo ◽  
Guanqiao Li ◽  
Xi Lu ◽  
Xiang Li ◽  
...  

ObjectivesThis study quantified how the efficiency of testing and contact tracing impacts the spread of COVID-19. The average time interval between infection and quarantine, whether asymptomatic cases are tested or not, and initial delays to beginning a testing and tracing programme were investigated.SettingWe developed a novel individual-level network model, called CoTECT (Testing Efficiency and Contact Tracing model for COVID-19), using key parameters from recent studies to quantify the impacts of testing and tracing efficiency. The model distinguishes infection from confirmation by integrating a ‘T’ compartment, which represents infections confirmed by testing and quarantine. The compartments of presymptomatic (E), asymptomatic (I), symptomatic (Is), and death with (F) or without (f) test confirmation were also included in the model. Three scenarios were evaluated in a closed population of 3000 individuals to mimic community-level dynamics. Real-world data from four Nordic countries were also analysed.Primary and secondary outcome measuresSimulation result: total/peak daily infections and confirmed cases, total deaths (confirmed/unconfirmed by testing), fatalities and the case fatality rate. Real-world analysis: confirmed cases and deaths per million people.Results(1) Shortening the duration between Is and T from 12 to 4 days reduces infections by 85.2% and deaths by 88.8%. (2) Testing and tracing regardless of symptoms reduce infections by 35.7% and deaths by 46.2% compared with testing only symptomatic cases. (3) Reducing the delay to implementing a testing and tracing programme from 50 to 10 days reduces infections by 35.2% and deaths by 44.6%. These results were robust to sensitivity analysis. An analysis of real-world data showed that tests per case early in the pandemic are critical for reducing confirmed cases and the fatality rate.ConclusionsReducing testing delays will help to contain outbreaks. These results provide policymakers with quantitative evidence of efficiency as a critical value in developing testing and contact tracing strategies.


2021 ◽  
Vol 13 (2) ◽  
pp. 608
Author(s):  
Ayoung Suh ◽  
Mengjun Li

This study explores how people appraise the use of contact tracing apps during the novel coronavirus (COVID-19) pandemic in South Korea. Despite increasing attention paid to digital tracing for health disasters, few studies have empirically examined user appraisal, emotion, and their continuance intention to use contact tracing apps for disaster management during an infectious disease outbreak. A mixed-method approach combining qualitative and quantitative inquiries was employed. In the qualitative study, by conducting interviews with 25 people who have used mobile apps for contact tracing, the way users appraise contact tracing apps for COVID-19 was explored. In the quantitative study, using data collected from 506 users of the apps, the interplay among cognitive appraisal (threats and opportunities) and its association with user emotion, and continuance intention was examined. The findings indicate that once users experience loss emotions, such as anger, frustration, and disgust, they are not willing to continue using the apps. App designers should consider providing technological affordances that enable users to have a sense of control over the technology so that they do not experience loss emotions. Public policymakers should also consider developing measures that can balance public health and personal privacy.


AKSEN ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 19-31
Author(s):  
Andrey Caesar Effendi ◽  
LMF Purwanto

The use of digital technology today can be said to be inseparable in our daily lives. Digital technology isslowly changing the way we communicate with others and the environment. Socialization that is usuallyface-to-face in the real world now can be done to not having to meet face-to-face in cyberspace. Thisliterature review aims to see a change in the way of obtaining data that is growing, with the use of digitaltechnology in ethnographic methods. The method used in this paper is to use descriptive qualitativeresearch methods by analyzing the existing literature. So it can be concluded that the use of digitalethnography in the architectural programming process can be a new way of searching for data at thearchitectural programming stage.


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