Digital Contact Tracing and Surveillance During COVID-19 - General and Child-Specific Ethical Issues
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Data, AI Governance, and COVID -19: Medium and Long-Term Perspectives for Asia
September, 2020 Data, AI Governance, and COVID -19: Medium and Long-Term Perspectives for Asia CHINA Yi Zeng Kang Sun Enmeng Lu Chinese Academy of Sciences Chinese Academy of Sciences Chinese Academy of Sciences SOUTH KOREA Sangchul Park Yong Lim Seoul National University Seoul National University SINGAPORE Mark Findlay Singapore Management University JAPAN Arisa Ema The University of Tokyo Table of Contents Foreword 03 CHINA 06 Ethics and Governance Perspectives to Fight Against Catastrophic Risks: From COVID-19 to Long-term Safety Issues of Artificial General Intelligence 1. AI Ethics, Governance and Practices in Fighting Against COVID-19 06 2. The use of AI to Fight Against COVID-19: Technical advancements, Ethical Risks, and Governance 06 2-1 Overview of AI usage to COVID-19 06 2-2 Health code system 08 2-3 Social, Ethical, and Legal concerns, and responses to Data Governance 09 2-4 Privacy Protection for Public Health Management 10 3. Yet Another Potential Catastrophic Risk: Long-term Safety Issues of Artificial General Intelligence 11 SOUTH KOREA 14 Harnessing technology to tackle COVID-19: Lessons from Korea 1. Korea Responds to COVID-19 14 2. The Role of Technology in Korea’s Response to COVID-19 14 2-1 GPS Tracking for Quarantine Measures 14 2-2 Automated Contact Tracing 15 2-3 Public Disclosure of the Routes of Confirmed Cases 17 3. Tech Governance Issues in the COVID-19 Era 17 3-1 Technology Enabled Centralized Contact Tracing 17 3-2 Public Disclosure of the Route of Confirmed Cases 19 4. Looking Ahead 21 01 Table of Contents SINGPORE 23 Singapore and COVID-19 control – a tale of 2 cities? 1. -
Lessons from Countries Implementing Find, Test, Trace, Isolation and Support Policies in the Rapid Response of the COVID-19 Pandemic: a Systematic Review
BMJ Open: first published as 10.1136/bmjopen-2020-047832 on 29 June 2021. Downloaded from Open access Original research Lessons from countries implementing find, test, trace, isolation and support policies in the rapid response of the COVID-19 pandemic: a systematic review Sheng- Chia Chung ,1 Sushila Marlow,2 Nicholas Tobias,3 Alessio Alogna,4 Ivano Alogna,5 San- Lin You,6,7 Kamlesh Khunti,8 Martin McKee ,9 Susan Michie,10 Deenan Pillay11 To cite: Chung S- C, Marlow S, ABSTRACT Strengths and limitations of this study Tobias N, et al. Lessons from Objective To systematically learn lessons from the countries implementing find, experiences of countries implementing find, test, trace, test, trace, isolation and support ► The study systematically reviews the core elements isolate, support (FTTIS) in the first wave of the COVID-19 policies in the rapid response of an effective find, test, trace, isolate, support of the COVID-19 pandemic: a pandemic. (FTTIS) system to interrupt the spread of COVID-19. systematic review. BMJ Open Design, data sources and eligibility criteria We Our findings can inform policy in future pandemics. 2021;11:e047832. doi:10.1136/ searched MEDLINE (PubMed), Cochrane Library, SCOPUS ► We reported optimal strategies reported in the lit- bmjopen-2020-047832 and JSTOR, initially between 31 May 2019 and 21 January erature to shorten case finding time, improve both 2021. Research articles and reviews on the use of contact ► Prepublication history and accuracy and efficiency of tests, coordinate stake- additional supplemental material tracing, testing, self- isolation and quarantine for COVID-19 holders and actors involved in an FTTIS system, sup- for this paper are available management were included in the review. -
Covid-19 Tracing Contacts Apps: Technical and Privacy Issues
Int. J. Advance Soft Compu. Appl, Vol. 12, No. 3, November 2020 ISSN 2074-8523; Copyright © ICSRS Publication, 2020 www.i-csrs.org Covid-19 Tracing Contacts Apps: Technical and Privacy Issues Salaheddin J. Juneidi Computer Engineering Department, Palestine Technical University Khadoorei1, Hebron, West Bank Palestine. e-mail: [email protected] Received 20 July 2020; Accepted 5 October 2020 Abstract Since the start of the year 2020 the world is facing an outbreak of Covid-19 pandemic, technical specialists all over the universe have been scrambling to develop services, apps, and system’s protocols for contactors tracing, with the objective to identify and to notify everyone that gets close with an individual carrier. Some of these apps are lightweight and temporary, while others are diffuse and aggressive. Some of tracing services are developed locally by small interested programmers, while others are large-scale international operations. To date, we have recognized more than 25 large automated contact tracing efforts around the globe, included with details about what they were, how they worked, and the procedures and conditions that were put in place around them. This paper will deal with general data of the most prominent applications in terms of technical approaches used in the world and compare them with regard to the efficiency of tracking covid-19 and compare them with concerning of the people’s privacy who use these apps. Keywords: Covid-19, GPS location, Blue trace, Google/Apple, DP-3T, Apps, Privacy. 1. Introduction Many applications, services and systems have been proposed and launched [1] with an aim to track and identify infected people with objective to reduce or even to prevent physical contact with other people, some of these tracking 1 Special thanks to Palestine Technical University -Khadoorei for continuous support of research efforts Salaheddin J. -
A Flexible, Efficient, and Privacy-Preserving Iot
1 IoTrace: A Flexible, Efficient, and Privacy-Preserving IoT-enabled Architecture for Contact Tracing Pietro Tedeschi, Spiridon Bakiras, and Roberto Di Pietro Division of Information and Computing Technology College of Science and Engineering Hamad Bin Khalifa University, Doha - Qatar Email: {ptedeschi, sbakiras, rdipietro}@hbku.edu.qa Abstract—Contact tracing promises to help fight the spread of BLE transmission range. Alternatively, solutions like Israel’s COVID-19 via an early detection of possible contagion events. To Hamagen [5] adopt the Global Navigation Satellite System this end, most existing solutions share the following architecture: (GNSS) for localization and proximity tracing. smartphones continuously broadcast random beacons that are intercepted by nearby devices and stored into their local contact A watershed difference in contact tracing applications lies in logs. In this paper, we propose an IoT-enabled architecture for the reconciliation process, i.e., the identification of “infected” contact tracing that relaxes the smartphone-centric assumption, beacons inside a user’s contact list that signal possible con- and provide a solution that enjoys the following features: (i) it tagion events. To one extreme, centralized solutions require reduces the overhead on the end-user to the bare minimum—the all users to share their beacons and/or contact lists with the mobile device only broadcasts its beacons; (ii) it provides the user with a degree of privacy not achieved by competing solutions— health authorities, who perform the reconciliation process and even in the most privacy adverse scenario, the solution provides notify the exposed users. To the other extreme, decentralized :-anonymity; and, (iii) it is flexible: the same architecture can solutions do not collect any information from the mobile be configured to support several models—ranging from the devices. -
1 a Survey of Automatic Contact Tracing Approaches Using
1 A Survey of Automatic Contact Tracing Approaches Using Bluetooth Low Energy LEONIE REICHERT and SAMUEL BRACK, Humboldt University of Berlin, Germany BJÖRN SCHEUERMANN, Humboldt University of Berlin, Germany and Alexander von Humboldt Institute for Internet and Society, Germany To combat the ongoing Covid-19 pandemic, many new ways have been proposed on how to automate the process of finding infected people, also called contact tracing. A special focus was put on preserving the privacy of users. Bluetooth Low Energy (BLE) as base technology has the most promising properties, so this survey focuses on automated contact tracing techniques using BLE. We define multiple classes of methods and identify two major groups: systems that rely on a server forfinding new infections and systems that distribute this process. Existing approaches are systematically classified regarding security and privacy criteria. CCS Concepts: • Security and privacy Privacy-preserving protocols; Mobile and wireless security; • Applied com- ! puting Health informatics; ! Additional Key Words and Phrases: Covid-19, contact tracing, privacy, survey ACM Reference Format: Leonie Reichert, Samuel Brack, and Björn Scheuermann. 2020. A Survey of Automatic Contact Tracing Approaches Using Bluetooth Low Energy. ACM Trans. Comput. Healthcare 1, 1, Article 1 (January 2020), 33 pages. https://doi.org/10.1145/3444847 1 INTRODUCTION Since the beginning of the year 2020, Covid-19 has turned into a global pandemic challenging both healthcare systems as well as democratic institutions [18, 31, 60, 119]. To mitigate its spreading, social and economic life was shut down in affected areas [118]. Tools often used in the past for containing diseases have proven to be not effective enough to deal with this quickly spreading, highly infectious and deadly46 virus[ , 112]. -
A Person-To-Person and Person-To-Place COVID-19 Contact Tracing System Based on OGC Indoorgml
International Journal of Geo-Information Article A Person-to-Person and Person-to-Place COVID-19 Contact Tracing System Based on OGC IndoorGML Soroush Ojagh * , Sara Saeedi and Steve H. L. Liang Department of Geomatics Engineering, University of Calgary, Calgary, AB T2N 4V8, Canada; [email protected] (S.S.); [email protected] (S.H.L.L.) * Correspondence: [email protected] Abstract: With the wide availability of low-cost proximity sensors, a large body of research focuses on digital person-to-person contact tracing applications that use proximity sensors. In most contact tracing applications, the impact of SARS-CoV-2 spread through touching contaminated surfaces in enclosed places is overlooked. This study is focused on tracing human contact within indoor places using the open OGC IndoorGML standard. This paper proposes a graph-based data model that considers the semantics of indoor locations, time, and users’ contexts in a hierarchical structure. The functionality of the proposed data model is evaluated for a COVID-19 contact tracing application with scalable system architecture. Indoor trajectory preprocessing is enabled by spatial topology to detect and remove semantically invalid real-world trajectory points. Results show that 91.18% percent of semantically invalid indoor trajectory data points are filtered out. Moreover, indoor trajectory data analysis is innovatively empowered by semantic user contexts (e.g., disinfecting activities) extracted from user profiles. In an enhanced contact tracing scenario, considering the disinfecting activities and sequential order of visiting common places outperformed contact tracing results by filtering out unnecessary potential contacts by 44.98 percent. However, the average execution time of person-to-place contact tracing is increased by 58.3%. -
Privacy Framework for Aarogya Setu
Privacy Framework FOR the Aarogya Setu App Working Paper | Version 1.0 Privacy Framework for the Aarogya Setu App “Life is like the harp string, if it is strung too tight it won’t play, if it is too loose it hangs, the tension that produces the beautiful sound lies in the middle.” - Gautam Buddha Authors Pranav Bhaskar Tiwari1, Ayush Tripathi2, Harsh Bajpai3, Karthik Venkatesh4, Arya Tripathy5 & Kazim Rizvi6. 1 Policy Research Associate, The Dialogue 2 Policy Research Associate, The Dialogue 3 Research Scholar, Durham University 4 Strategic Engagement and Research Fellow, The Dialogue 5 Principal Associate, Priti Suri & Associates 6 Founding Director, The Dialogue © The Dialogue | 6.5.2020 1 Working Paper | Version 1.0 Index Executive Summary 3 Legal Challenges and Way Forward 3 Privacy Challenges and Way Forward 4 Recommendations 5 1. Background 6 1.1 COVID-19 Pandemic - A Socio-Economic Challenge 8 1.2 Technology as a resource to combat the outbreak 9 1.3 Citizen’s Participation Must - A Fundamental Duty to protect our Communities 10 1.4 Aarogya Setu 11 1.5 Right to Health and Right to Privacy to be harmonised 11 1.6 Proportionality at the heart of Reasonable Restrictions 12 2. Privacy Central to Mass Deployment of the App 14 2.1 Citizen Trust is Critical 14 2.2 Immediate Solution Vs. Preventing Future Harm? 16 2.3 Community Rights Vs. Individual Rights 17 3. The Privacy Framework 19 3.1 Legality 26 3.2 Transparency and Verifiability 20 3.3 Voluntariness 26 3.4 Data Minimisation 26 3.5 Anonymisation 26 3.6 Storage of Data 26 3.7 Grievance Redressal Mechanism & Accountability 26 3.8 Sunset Clause 27 3.9 Access to Data 28 3.10 Data Sharing 29 3.11 Integration of Data Sets 30 3.12 Scope/Function Creep 31 3.13 Auditing 31 3.14 Public Confidence 32 © The Dialogue | 6.5.2020 2 Working Paper | Version 1.0 Executive Summary Technology is one of the tools in the fight against the pandemic and Governments around the world have been deploying technological solutions to tackle the threat posed by COVID-19. -
Analyzing the Essential Attributes of Nationally Issued COVID-19 Contact Tracing Apps: Open-Source Intelligence Approach and Content Analysis
JMIR MHEALTH AND UHEALTH Weiû et al Original Paper Analyzing the Essential Attributes of Nationally Issued COVID-19 Contact Tracing Apps: Open-Source Intelligence Approach and Content Analysis Jan-Patrick Weiû, MSc; Moritz Esdar, MA; Ursula Hübner, PhD Health Informatics Research Group, Faculty of Business Management and Social Sciences, University of Applied Sciences Osnabrueck, Osnabrück, Germany Corresponding Author: Ursula Hübner, PhD Health Informatics Research Group Faculty of Business Management and Social Sciences University of Applied Sciences Osnabrueck Caprivistraûe 30a Osnabrück, Germany Phone: 49 5419692012 Email: [email protected] Abstract Background: Contact tracing apps are potentially useful tools for supporting national COVID-19 containment strategies. Various national apps with different technical design features have been commissioned and issued by governments worldwide. Objective: Our goal was to develop and propose an item set that was suitable for describing and monitoring nationally issued COVID-19 contact tracing apps. This item set could provide a framework for describing the key technical features of such apps and monitoring their use based on widely available information. Methods: We used an open-source intelligence approach (OSINT) to access a multitude of publicly available sources and collect data and information regarding the development and use of contact tracing apps in different countries over several months (from June 2020 to January 2021). The collected documents were then iteratively analyzed via content analysis methods. During this process, an initial set of subject areas were refined into categories for evaluation (ie, coherent topics), which were then examined for individual features. These features were paraphrased as items in the form of questions and applied to information materials from a sample of countries (ie, Brazil, China, Finland, France, Germany, Italy, Singapore, South Korea, Spain, and the United Kingdom [England and Wales]). -
Digital Tools for COVID-19 Contact Tracing
Digital tools for COVID-19 contact tracing Annex: Contact tracing in the context of COVID-19 2 June 2020 Background electronic data entry of case and contact information. Outbreak response tools can be used to facilitate all aspects Contact tracing is an essential public health measure and a of contact tracing, including case investigation, listing and critical component of comprehensive strategies to control the monitoring of contacts, and automating analysis and spread of COVID-19. Contact tracing breaks the chains of human-to-human transmission by identifying people exposed performance monitoring. Because contacts may have links to to confirmed cases, quarantining them, following up with multiple cases, and may become cases that generate further them to ensure rapid isolation, and testing and treatment in contacts, effective outbreak response tools need to manage case they develop symptoms. When implemented dynamic relationships between cases and contacts. Outbreak systematically and effectively, these actions can ensure that response tools should be optimized for the workflow of field the number of new cases generated by each confirmed case is workers conducting contact tracing as well as providing maintained below one. functionality for supervisors to monitor the implementation 3 In the context of COVID-19, contact tracing requires of contact tracing. The Go.Data software application, created identifying persons who may have been exposed to a person by WHO with partners of the Global Outbreak Alert and with COVID-19 and following them up daily for 14 days Response Network, was designed specifically for field from the last point of exposure.1 Since COVID-19 workers and has been implemented in many countries for transmission can occur before symptoms develop, contacts COVID-19. -
The COVID-19-Crisis and the Information Polity: an Overview of Responses and Discussions in Twenty-One Countries from Six Continents
Information Polity 25 (2020) 243–274 243 DOI 10.3233/IP-200006 IOS Press Global Expert Report The COVID-19-crisis and the information polity: An overview of responses and discussions in twenty-one countries from six continents Albert Meijera and C. William R. Websterb aUtrecht University, Utrecht, The Netherlands bUniversity of Stirling, Scotland, UK Contributing Authors Frank Bannister, Colin J. Bennett, Kaiping Chen, Heungsuk Choi, J. Ignacio Criado, Maria Alexandra Cunha, Mehmet Akif Demircioglu, Mila Gasco-Hernandez, Paul Henman, Douglas Kimemia, Veiko Lember, Karl Löfgren, Luis F. Luna-Reyes, Albert Meijer, Ines Mergel, David Murakami Wood, Giorgia Nesti, Erico Przeybilovicz, Aarthi Raghavan, Ola Svenonius, Rosamunde van Brakel, William Webster, Mete Yildiz. Abstract. Governments around the world are utilizing data and information systems to manage the COVID-19-crisis. To obtain an overview of all these efforts, this global report presents the expert reports of 21 countries regarding the relation between the COVID-19-crisis and the information polity. A comparative analysis of these reports highlights that governments focus on strengthening six functions: management of information for crisis management, publishing public information for citizens, providing digital services to citizens, monitoring citizens in public space, facilitating information exchange between citizens and developing innovative responses to COVID-19. The comparative overview of information responses to the COVID-19-crisis shows that these responses cannot only be studied from a rational perspective on government information strategies but need to be studied as political and symbolic interventions. Keywords: COVID-19, information polity, corona app, corona dashboard 1. Introduction The COVID-19 Pandemic has diffused globally at an alarming rate and has forced countries to undertake a broad range of unprecedented interventions in order to protect their citizens from this disease. -
Applicability of Mobile Contact Tracing in Fighting Pandemic (COVID-19): Issues, Challenges and Solutions
Applicability of Mobile Contact Tracing in Fighting Pandemic (COVID-19): Issues, Challenges and Solutions Aaqib Bashir Dara, Auqib Hamid Loneb,∗, Saniya Zahoorb, Afshan Amin Khanb, Roohie Naazb aIndependent Researcher, Jammu and Kashmir,India,190015 bDepartment of Computer Science and Engineering, NIT Srinagar, Jammu and Kashmir, India,190006 Abstract Contact Tracing is considered as the first and the most effective step towards containing an outbreak, as resources for mass testing and large quantity of vaccines are highly un- likely available for immediate utilization. Effective contact tracing can allow societies to reopen from lock-down even before availability of vaccines. The objective of mobile contact tracing is to speed up the manual interview based contact tracing process for containing an outbreak efficiently and quickly. In this article, we throw light on some of the issues and challenges pertaining to the adoption of mobile contact tracing solu- tions for fighting COVID-19. In essence, we proposed an Evaluation framework for mobile contact tracing solutions to determine their usability, feasibility, scalability and effectiveness. We evaluate some of the already proposed contact tracing solutions in light of our proposed framework. Furthermore, we present possible attacks that can be launched against contact tracing solutions along with their necessary countermeasures to thwart any possibility of such attacks. Keywords: COVID-19, Contact Tracing, Security, Privacy, Scalability. 1. Introduction Severe Acute Respiratory Syndrome (SARS) is an atypical pneumonia that is char- acterized by a high rate of transmission, which began in Guangdong Province, China, in November 2002 [1]. One of the largest SARS outbreaks to date began in Singapore in mid-March 2003 [1] and was traced to a traveler returning from Hong Kong. -
Automated and Semi-Automated Contact Tracing: Protocol for a Rapid Review of Available Evidence and Current Challenges to Inform the Control of COVID-19
medRxiv preprint doi: https://doi.org/10.1101/2020.04.14.20063636; this version posted April 17, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license . Automated and semi-automated contact tracing: Protocol for a rapid review of available evidence and current challenges to inform the control of COVID-19 Isobel Braithwaite1, Tom Callender2, Miriam Bullock3, Robert W Aldridge1 1 Institute of Health Informatics, University College London, London, UK 2 Department of Applied Health Research, University College London, London, UK 3UCL Collaborative Centre for Inclusion Health, University College London, London UK Abstract Introduction Traditional approaches to case-finding, case isolation, and contact tracing methods have so far proved insufficient on their own to prevent the development of local epidemics of COVID-19 in many high-income countries despite relatively advanced public health systems. As a result, many governments have resorted to widespread social distancing measures and mass quarantines (‘lock-downs’) to reduce transmission and to prevent healthcare systems from being overwhelmed. However, such measures impose heavy human and societal costs. Automated or semi-automated digital contact tracing, in conjunction with scaled-up community testing, has been proposed as a key part of exit strategies from lockdowns. However, the effectiveness of these approaches to contact tracing is unclear, and to be effective, trusted, and widely adopted such technology must overcome several challenges. Methods and analysis We will perform a rapid systematic review to assess the effectiveness of automated and semi- automated digital tools for contact tracing, and identify key considerations for successful implementation, to inform the control of COVID-19.