National COVID-19 Contact Tracing Apps
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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. -
Will We Be Able to Achieve Herd Immunity Against COVID-19?
35 Will We Be Able to Achieve Herd Immunity Against COVID-19? Series | COVID-19 & response strategy Authors: Clara Marín, Oriana Ramírez, Carlota Dobaño, Jeffrey V Lazarus, Gemma Moncunill and Adelaida Sarukhan (ISGlobal)* [ This document is a one On 10 May 2021, the Spanish prime defines herd immunity as “the indirect of a series of discussion minister announced that, if the vaccine protection from an infectious disease that notes addressing delivery schedule is met, Spain would happens when a population is immune fundamental questions reach the government’s desired level of either through vaccination or immunity about the COVID-19 herd immunity—70% of the population developed through previous infection”2. crisis and response vaccinated—in 100 days, i.e. on 18 Au- Since the start of the pandemic, the pos- strategies. These gust1. Given the available evidence, is this sibility of achieving herd immunity documents are based claim realistic? has been touted as a way to avoid shut- on the best scientific ting down the economy or accelerate its Since COVID-19 was declared a pan- information available re-opening. However, this proved to be a demic in March 2020, our societies have and may be updated as double-edged sword. Countries such as undergone profound changes, starting new information comes Sweden and the United Kingdom tried to light.] with government-imposed restrictions on to base their strategy on achieving early fundamental rights such as freedom of herd immunity by allowing a majority of movement and freedom of assembly. An the population to become infected. These effective vaccine against SARS-CoV-2 strategies were either rectified, as in the was seen as the great hope for a way out United Kingdom, or mortality increased of the health and economic crisis caused by 11 June 2021 to an unjustifiable extent, as in Sweden. -
Medical Update Q&A's
Medical Update Q&A’s Wednesday, July 15, 2020 Q1: How is TONHC preparing for flu season? Seasonal flu returns each year and infections usually begin in early winter through spring. TONHC has a team that prepares for the flu season each year. A team from epidemiology, public health, pharmacy, nursing, and the medical staff plan, order vaccine, and prepare clinics to deliver immuni- zations. Vaccines will be offered as early as they are available this year to maximize the number of people that get immunized. In a typical year, only about 35-40% of Americans get a flu shot. For the last several years, TONHC has vaccinated between 50-60% of the patients that get their care here and we hope to deliver even more vaccines this year. Despite our vaccination rates being better than most of the country, our aim is to vaccinate as many people in the community as possible. Q2: How will vaccinations be scheduled in COVID-19 environment? Protecting the community from flu this year will be even more important because health care systems could easily become overwhelmed with patients also needing care for COVID-19. Both diseases spread easily, can cause people to miss work, and as we have seen, for some, can be fatal. The flu vaccine is especially helpful to protect people from fatal influenza disease. Each year the strain of flu changes and vaccines have to be manufactured in spring and summer. These generally become available in early autumn. TONHC will give flu shots at all the health centers, in special Flu clinics called “PODs” or “point of delivery” which and be walk-through or drive-through clinics for many people at the same time and can occur at different locations. -
Covid-19 Vaccines: Delivering Protective Immunity
EDITORIALS BMJ: first published as 10.1136/bmj.m4838 on 17 December 2020. Downloaded from 1 University of Nottingham, Covid-19 vaccines: delivering protective immunity Nottingham, UK Evidence supports both T and B cell responses to the three leading vaccines 2 University of Manchester, Manchester, UK Herb F Sewell, 1 Raymond M Agius, 2 Denise Kendrick, 1 Marcia Stewart3 3 De Montfort University, Leicester, UK Early in the covid-19 pandemic it was unclear whether as the ELISpot assay as a means of documenting Correspondence to H.Sewell and how individuals and populations would develop specific T cell responses to viral antigens.9 -11 [email protected] protective and enduring immunity against Individuals with high antibody levels after infection Cite this as: BMJ 2020;371:m4838 SARS-CoV-2, either after infection or vaccination. have been shown to have a high number of http://dx.doi.org/10.1136/bmj.m4838 Initial focus was on defining virus neutralising SARS-CoV-2 specific T cells secreting interferon γ.10 Published: 17 December 2020 antibodies from B cells after infection. Early reports T cells producing interferon γ have also been detected indicated that such antibodies decline substantially a median of 75 days after PCR confirmed covid-19 in over less than six months, raising questions about people with undetectable SARS-CoV-2 antibodies,10 how long protective immunity might last following suggesting immunity is partly mediated and infection. T cells are also known to be important in maintained by memory T cells. Finally, a preprint of protecting against many viral infections through a recent study of 100 people with a history of processes known as cellular immunity. -
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. -
Singapore's Response to Covid-19
CHAPTER 4 Singapore’s Response to Covid-19 Abstract This chapter will discuss Singapore’s response to the Covid-19 pandemic, focusing in particular on how it has mobilised and adapted its policy capacities to deal with the pandemic. I will also discuss the new capacities that were established this period. In focusing on how policy capacities were drawn upon or created in its Covid-19 response, this chapter will provide readers with an understanding of the various policy capacities that are necessary for responding to pandemics and other healthcare crises, as well as the capacity limitations or deficiencies that may have posed challenges for policymakers. Keywords Covid-19 · Singapore · Pandemic response · Policy capacity Like the SARS virus, the Covid-19 coronavirus first entered Singapore through its borders. In this case, it was a 66-year-old Chinese national who had arrived in Singapore from Wuhan on 20 January 2020 and was subsequently tested positive for the virus on 23 January 2020 (Yong 2020a). Singapore would within months experience high rates of infec- tion, with the number of confirmed Covid-19 cases exceeding 55,000 as at time of writing. Such high rates of infection were wholly unexpected, given Singapore’s excellent public healthcare system and its reputation as a leading medical hub. © The Author(s), under exclusive license to Springer Nature 67 Singapore Pte Ltd. 2021 J. J. Woo, Capacity-building and Pandemics, https://doi.org/10.1007/978-981-15-9453-3_4 68 J. J. WOO These high infection rates therefore raise an important question that will be of interest to policy scholars and practitioners alike: how did such high levels of infection occur in a high capacity country such as Singapore? This question will drive the discussions that form the rest of this chapter. -
Health System Resilience in Managing the COVID-19 Pandemic: Lessons from Singapore
Practice Health system resilience in managing the COVID-19 pandemic: lessons from Singapore 1 1 1 Alvin Qijia Chua , Melisa Mei Jin Tan , Monica Verma , 1 1 1 1 Emeline Kai Lin Han, Li Yang Hsu , Alex Richard Cook , Yik Ying Teo, 1,2 1 Vernon J Lee, Helena Legido- Quigley To cite: Chua AQ, Tan MMJ, ABSTRACT Summary box Verma M, et al. Health Singapore, one of the first countries affected by COVID-19, system resilience in adopted a national strategy for the pandemic which ► Singapore was among the first countries affected by managing the COVID-19 emphasised preparedness through a whole- of- nation pandemic: lessons from COVID-19. Its health system resilience was tested as approach. The pandemic was well contained initially Singapore. BMJ Global Health the pandemic continued to spread following a surge until early April 2020, when there was a surge in cases, 2020;5:e003317. doi:10.1136/ in the number of infected people in early April. attributed to Singapore residents returning from hotspots bmjgh-2020-003317 ► The strength in the response of Singapore to the overseas, and more significantly, rapid transmission COVID-19 pandemic was in part due to coordination locally within migrant worker dormitories. In this paper, Handling editor Seye Abimbola between government agencies. However, we iden- we present the response of Singapore to the COVID-19 tified a few areas of improvement that may provide pandemic based on core dimensions of health system Received 1 July 2020 important learning points for other countries. Revised 23 August 2020 resilience during outbreaks. We also discussed on the ► Understanding reasons for poor uptake of initiatives, Accepted 24 August 2020 surge in cases in April 2020, highlighting efforts to mitigate such as the mobile application for contact tracing, it. -
Community-Driven Contact Tracing Using Tracetogether
Community-driven contact tracing using TraceTogether This is part of a joint work with Maha Ashour, this is the part I wrote. Introduction Contact tracing is the tracking down of people that were exposed to an individual infected with a virus while they were contagious [1]. It is an important public health intervention that has taken on a renewed urgency in light of the 2019-20 coronavirus disease (COVID-19) pandemic [2]. The aim is to lower the burden on healthcare systems due to the virus while incurring smaller economic costs than that of the population wide self quarantine measures being implemented. Contact tracing does this by enabling targeted quarantines and faster testing and isolation of infected individuals. Automatic contact tracing is meant to be a useful and cost-effective supplement to manual contact tracing. The latter is limited by imperfect human recall and/or incomplete information due to the difficulty in identifying unknown contacts or ‘strangers’. Automatic contract tracing can be used to handle a large percentage of the more simple cases so that the limited resources for manual tracing can be directed towards the minority of more complex cases. The primary goal of privacy preserving contact tracing is to facilitate these efforts without putting into place - and normalising - deeper governmental surveillance on civilians. What exactly I mean by privacy preserving will be discussed in the next section. The picture below is from the slides of John D Wilkinson presented at a recent MIT webinar on contact tracing [3]. It shows a receiver operating characteristic (ROC) curve. An ROC curve for a diagnostic system is a plot of true positive rate against false positive rate. -
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]. -
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]).