scholarly journals Privacy versus Public Health? A Reassessment of Centralised and Decentralised Digital Contact Tracing

2021 ◽  
Vol 27 (2) ◽  
Author(s):  
Lucie White ◽  
Philippe van Basshuysen
Keyword(s):  
Public Health ◽  
False Positive ◽  
Policy Making ◽  
Two Dimensions ◽  
Contact Tracing ◽  
Safety Engineering ◽  
Decentralised Systems ◽  
Public Debates ◽  
Privacy Breaches ◽  
The Right

AbstractAt the beginning of the COVID-19 pandemic, high hopes were placed on digital contact tracing. Digital contact tracing apps can now be downloaded in many countries, but as further waves of COVID-19 tear through much of the northern hemisphere, these apps are playing a less important role in interrupting chains of infection than anticipated. We argue that one of the reasons for this is that most countries have opted for decentralised apps, which cannot provide a means of rapidly informing users of likely infections while avoiding too many false positive reports. Centralised apps, in contrast, have the potential to do this. But policy making was influenced by public debates about the right app configuration, which have tended to focus heavily on privacy, and are driven by the assumption that decentralised apps are “privacy preserving by design”. We show that both types of apps are in fact vulnerable to privacy breaches, and, drawing on principles from safety engineering and risk analysis, compare the risks of centralised and decentralised systems along two dimensions, namely the probability of possible breaches and their severity. We conclude that a centralised app may in fact minimise overall ethical risk, and contend that we must reassess our approach to digital contact tracing, and should, more generally, be cautious about a myopic focus on privacy when conducting ethical assessments of data technologies.

Lobbying and policy capture

2017 ◽  
Author(s):  
David Miller ◽  
Claire Harkins ◽  
Matthias Schlögl ◽  
Brendan Montague
Keyword(s):  
Public Health ◽  
Interest Groups ◽  
Policy Making ◽  
Two Dimensions ◽  
The Other ◽  
Policy Studies ◽  
Corporate Power ◽  
Recent Innovation ◽  
Policy Measures ◽  
To Come

This chapter examines how policy is captured and aims to show how the capture of the other domains examined in this book relate to the ultimate prize of policy capture. Notable, however, policy can be captured variety of ways. The chapter considers two dimensions of policy capture—upstream and downstream. ‘Downstream’ refers to attempts to influence particular policy measures that might directly affect the industry concerned. ‘Upstream’ refers to influencing the agreed procedures by which decisions on particular matters will be taken in years to come. After that we turn to a relatively recent innovation in policy making that challenges the very categories adopted in policy studies. Partnership governance breaches the seemingly clear conceptual split between interest groups and government. We examine some key UK and EU examples in the addictions field, asking about the implications for public health and corporate power.

scholarly journals Without a trace: Why did corona apps fail?

2021 ◽  
pp. medethics-2020-107061
Author(s):  
Lucie White ◽  
Philippe van Basshuysen
Keyword(s):  
Mathematical Modelling ◽  
Mobile Phone ◽  
Data Storage ◽  
False Positive ◽  
Privacy Preserving ◽  
Contact Tracing ◽  
Insufficient Attention ◽  
Decentralised Systems

At the beginning of the COVID-19 pandemic, high hopes were put on digital contact tracing, using mobile phone apps to record and immediately notify contacts when a user reports as infected. Such apps can now be downloaded in many countries, but as second waves of COVID-19 are raging, these apps are playing a less important role than anticipated. We argue that this is because most countries have opted for app configurations that cannot provide a means of rapidly informing users of likely infections while avoiding too many false positive reports. Mathematical modelling suggests that differently configured apps have the potential to do this. These require, however, that some pseudonymised data be stored on a central server, which privacy advocates have cautioned against. We contend that their influential arguments are subject to two fallacies. First, they have tended to one-sidedly focus on the risks that centralised data storage entails for privacy, while paying insufficient attention to the fact that inefficient contact tracing involves ethical risks too. Second, while the envisioned system does entail risks of breaches, such risks are also present in decentralised systems, which have been falsely presented as ‘privacy preserving by design’. When these points are understood, it becomes clear that we must rethink our approach to digital contact tracing in our fight against COVID-19.

scholarly journals Modelling digital and manual contact tracing for COVID-19 Are low uptakes and missed contacts deal-breakers?

2021 ◽  
Author(s):  
Andrei Rusu ◽  
Katayoun Farrahi ◽  
Rémi Emonet
Keyword(s):  
Public Health ◽  
Mean Field ◽  
Epidemiological Model ◽  
Health Interventions ◽  
Contact Tracing ◽  
Public Health Interventions ◽  
Fair Proportion ◽  
Usage Patterns ◽  
The Right ◽  
The Impact

ABSTRACTComprehensive testing schemes, followed by adequate contact tracing and isolation, represent the best public health interventions we can employ to reduce the impact of an ongoing epidemic when no or limited vaccines are available and the implications of a full lockdown are to be avoided. However, the process of tracing can prove feckless for highly-contagious viruses such as SARS-Cov-2. The interview-based approaches often miss contacts and involve significant delays, while digital solutions can suffer from insufficient adoption rates or inadequate usage patterns. Here we present a novel way of modelling different contact tracing strategies using a generalized multi-site mean-field model, which can naturally assess the impact of both manual and digital approaches. Our methodology can readily be applied to any compartmental formulation, thus enabling the study of several complex pathogens. We use this technique to simulate a new epidemiological model, SEIR-T, and show that, given the right conditions, tracing in a COVID-19 epidemic can be effective even when digital uptakes are sub-optimal or interviewers miss a fair proportion of the contacts.

Tracking and Nudging through Smartphone Apps: Public Health and Decisional Privacy in a European Health Union

2020 ◽  
Vol 11 (4) ◽  
pp. 831-840
Author(s):  
Josephine VAN ZEBEN ◽  
Bart A. KAMPHORST
Keyword(s):  
Public Health ◽  
Personal Information ◽  
Contact Tracing ◽  
Informational Privacy ◽  
Future Health ◽  
Eu Member States ◽  
Health Measures ◽  
Use Of Technology ◽  
European Health ◽  
The Right

In response to the SARS-CoV-2 pandemic, European Union (EU) Member States adopted technological solutions aimed at mitigating the effects of the virus, as well as enforcing newly adopted public health measures. Examples include apps for disseminating information, performing self-diagnosis, enforcing home quarantine orders and aiding contact tracing. This extensive use of technology for tracking and promoting public health raises important questions regarding EU citizens’ privacy. Thus far, the discourse in this regard has predominantly revolved around data protection, the risk of surveillance and the right to control access over one’s personal information (informational privacy). In light of the push towards a more unified approach to mitigating the current pandemic and future health crises through a European Health Union (EHU), we consider a different dimension of privacy that may be at risk when employing technology for public health, namely the right to non-interference with one’s decisions (decisional privacy). In particular, this article focuses on whether the advances in health-related persuasive technology, together with a more general movement towards “nudging” as an individual and public health tool, will require EU legislation to further protect decisional privacy by regulating “hypernudging” technologies and to guide the EHU in coordinating public health measures that utilise these technologies in a privacy-preserving way.

A brief review of diagnosis of small ruminants brucellosis

2020 ◽  
Vol 28 ◽  
Author(s):  
Jingjing Ren ◽  
Qisheng Peng
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Economic Impact ◽  
False Positive ◽  
Brucella Melitensis ◽  
Small Ruminants ◽  
Animal Husbandry ◽  
Detection Methods ◽  
Immunological Tests

: Brucellosis caused by bacteria of the genus of Brucella remains a major zoonosis in the widely world, which is an infectious disease with a severe economic impact on animal husbandry and public health. The genus of Brucella includes ten species and the most prevalent is Brucella melitensis. The diagnosis of Brucella melitensis ruminant brucellosis is based on bacteriological and immunological tests. The use of vaccines and the false-positive serological reactions (FPSR) caused by other cross-reacting bacteria represent the immunological contexts. This complex context results in the development of the large number of diagnosis of Brucella melitensis brucellosis. The aim of this article is to briefly review the detection methods and compare the superiorities of different tests.

“PHONE-CONNECT” - A Pilot Program Prescribing Phones to Address Digital Health Equity Needs in the COVID-19 Era (Preprint)

2020 ◽  
Author(s):  
Gill Kazevman ◽  
Marck Mercado ◽  
Jennifer Hulme ◽  
Andrea Somers
Keyword(s):  
Public Health ◽  
Health Care ◽  
Social Services ◽  
Access To Health Care ◽  
Health Care Services ◽  
Point Of Care ◽  
Digital Health ◽  
Contact Tracing ◽  
Health Care Intervention ◽  
Care Intervention

UNSTRUCTURED Vulnerable populations have been identified as having higher infection rates and poorer COVID-19 related outcomes, likely due to their inability to readily access primary care, follow public health directives and adhere to self-isolation guidelines. As a response to the COVID-19 pandemic, many health care services have adopted new digital solutions, relying on phone and internet connectivity. Yet, persons who are digitally inaccessible, such as those struggling with poverty or homelessness, are often unable to utilize these services. In response to this newly highlighted social disparity known as “digital health inequity”, emergency physicians at the University Health Network, Toronto, initiated a program called “PHONE CONNECT”. This novel approach attempts to improve patients’ access to health care, information and social services, as well as improve their ability to adhere to public health directives (social isolation and contact tracing). While similar programs addressing the same emerging issues have been recently described in the media, this is the first time phones are provided as a health care intervention in an emergency department. This innovative ED point-of-care intervention may have a significant impact on improving the health outcomes for vulnerable people during the COVID-19 pandemic, and even beyond it.

Application of Inherent Risk of Contagion (IRC) framework & modelling to aid local Covid-19 response & mitigation: Viewpoint (Preprint)

2020 ◽  
Author(s):  
Helmi Zakariah ◽  
Fadzilah bt Kamaluddin ◽  
Choo-Yee Ting ◽  
Hui-Jia Yee ◽  
Shereen Allaham ◽  
...  
Keyword(s):  
Public Health ◽  
Public Health Problem ◽  
Analytical Framework ◽  
Vulnerable Population ◽  
Contact Tracing ◽  
Global Public Health ◽  
Inherent Risk ◽  
Transmission Area ◽  
Current Outbreak ◽  
Novel Coronavirus

UNSTRUCTURED The current outbreak of coronavirus disease 2019 (COVID-19) caused by the novel coronavirus named SARS-CoV-2 has been a major global public health problem threatening many countries and territories. Mathematical modelling is one of the non-pharmaceutical public health measures that plays a crucial role for mitigating the risk and impact of the pandemic. A group of researchers and epidemiologists have developed a machine learning-powered inherent risk of contagion (IRC) analytical framework to georeference the COVID-19 with an operational platform to plan response & execute mitigation activities. This framework dataset provides a coherent picture to track and predict the COVID-19 epidemic post lockdown by piecing together preliminary data on publicly available health statistic metrics alongside the area of reported cases, drivers, vulnerable population, and number of premises that are suspected to become a transmission area between drivers and vulnerable population. The main aim of this new analytical framework is to measure the IRC and provide georeferenced data to protect the health system, aid contact tracing, and prioritise the vulnerable.

The Origins of Human Rights in Global Health

2018 ◽  
Author(s):  
Lawrence O. Gostin ◽  
Benjamin Mason Meier
Keyword(s):  
Public Health ◽  
Human Rights ◽  
World War Ii ◽  
Global Health ◽  
International Law ◽  
Right To Health ◽  
Right To Health Care ◽  
Global Standards ◽  
The Right

This chapter introduces the foundational importance of human rights for global health, providing a theoretical basis for the edited volume by laying out the role of human rights under international law as a normative basis for public health. By addressing public health harms as human rights violations, international law has offered global standards by which to frame government responsibilities and evaluate health practices, providing legal accountability in global health policy. The authors trace the historical foundations for understanding the development of human rights and the role of human rights in protecting and promoting health since the end of World War II and the birth of the United Nations. Examining the development of human rights under international law, the authors introduce the right to health as an encompassing right to health care and underlying determinants of health, exploring this right alongside other “health-related human rights.”

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