scholarly journals Beyond contact-tracing: The public value of eHealth application in a pandemic

2021 ◽  
pp. 101581
Author(s):  
Paolo Gerli ◽  
Emmanuel Ogiemwonyi Arakpogun ◽  
Ziad Elsahn ◽  
Femi Olan ◽  
Karla Simone Prime
Keyword(s):  
Contact Tracing ◽  
Public Value ◽  
The Public

Big Data and the Economics of TV Broadcasting. Where is the Public Value?

MedienJournal ◽  
2017 ◽  
Vol 41 (3) ◽  
pp. 15-28 ◽  
Author(s):  
Paul Clemens Murschetz
Keyword(s):  
Big Data ◽  
Public Value ◽  
The Public ◽  
Tv Broadcasting

Der vorliegende Beitrag untersucht Potenziale und Risiken von Big Data für das Leitmedium Fernsehen. Er nimmt dabei eine betont kritisch-normative Perspektive aus Sicht der Medienökonomie ein und analysiert diese anhand des Beispiels Konvergenzfernsehen. Eine der vielen Dimensionen von Big Data ist nämlich die Analyse des Nutzungsverhaltens einer Vielzahl von Konsumenten. Big Data-Dienste verwenden die Analyseergebnisse nicht nur dazu, individuelle Filmempfehlungen zu geben, sondern entscheiden vielmehr darüber, welche Inhalte überhaupt in das Portfolio eines Anbieters aufgenommen bzw. produziert werden. Auch wenn diese Dienste zu einer Optimierung von TV-Vermarktung führen, ist bis heute umstritten, inwiefern Big Data auch Mehrwert für Nutzer generiert. Auf der Sollseite stehen Überwachung, die Frageder Individualisierung und Rationalisierung des Konsums und generell die Kommodifizierung des Mediums.

scholarly journals United States response to the COVID-19 pandemic, January–November 2020

2021 ◽  
pp. 1-14
Author(s):  
Mathew Alexander ◽  
Lynn Unruh ◽  
Andriy Koval ◽  
William Belanger
Keyword(s):  
United States ◽  
The United States ◽  
Contact Tracing ◽  
Public Health Response ◽  
The Public ◽  
The Past ◽  
Health Response ◽  
Physical Infrastructure ◽  
Key Policy ◽  
United States Healthcare

Abstract As of November 2020, the United States leads the world in confirmed coronavirus disease 2019 (COVID-19) cases and deaths. Over the past 10 months, the United States has experienced three peaks in new cases, with the most recent spike in November setting new records. Inaction and the lack of a scientifically informed, unified response have contributed to the sustained spread of COVID-19 in the United States. This paper describes major events and findings from the domestic response to COVID-19 from January to November 2020, including on preventing transmission, COVID-19 testing and contact tracing, ensuring sufficient physical infrastructure and healthcare workforce, paying for services, and governance. We further reflect on the public health response to-date and analyse the link between key policy decisions (e.g. closing, reopening) and COVID-19 cases in three states that are representative of the broader regions that have experienced spikes in cases. Finally, as we approach the winter months and undergo a change in national leadership, we highlight some considerations for the ongoing COVID-19 response and the broader United States healthcare system. These findings describe why the United States has failed to contain COVID-19 effectively to-date and can serve as a reference in the continued response to COVID-19 and future pandemics.

scholarly journals What do users think of the UK’s three COVID-19 contact-tracing apps? A comparative analysis

2021 ◽  
Vol 28 (1) ◽  
pp. e100320
Author(s):  
Vahid Garousi ◽  
David Cutting
Keyword(s):  
Mobile Apps ◽  
Analysis Data ◽  
End Users ◽  
Contact Tracing ◽  
User Reviews ◽  
The Public ◽  
Engineering Teams ◽  
Technical Issues ◽  
The Uk ◽  
The Right

ObjectivesOur goal was to gain insights into the user reviews of the three COVID-19 contact-tracing mobile apps, developed for the different regions of the UK: ‘NHS COVID-19’ for England and Wales, ‘StopCOVID NI’ for Northern Ireland and ‘Protect Scotland’ for Scotland. Our two research questions are (1) what are the users’ experience and satisfaction levels with the three apps? and (2) what are the main issues (problems) that users have reported about the apps?MethodsWe assess the popularity of the apps and end users’ perceptions based on user reviews in app stores. We conduct three types of analysis (data mining, sentiment analysis and topic modelling) to derive insights from the combined set of 25 583 user reviews of the aforementioned three apps (submitted by users until the end of 2020).ResultsResults show that end users have been generally dissatisfied with the apps under study, except the Scottish app. Some of the major issues that users have reported are high battery drainage and doubts on whether apps are really working.DiscussionTowards the end of 2020, the much-awaited COVID-19 vaccines started to be available, but still, analysing the users’ feedback and technical issues of these apps, in retrospective, is valuable to learn the right lessons to be ready for similar circumstances in future.ConclusionOur results show that more work is needed by the stakeholders behind the apps (eg, apps’ software engineering teams, public-health experts and decision makers) to improve the software quality and, as a result, the public adoption of these apps. For example, they should be designed to be as simple as possible to operate (need for usability).

scholarly journals Limits of data anonymity: lack of public awareness risks trust in health system activities

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Felix Gille ◽  
Caroline Brall
Keyword(s):  
Large Scale ◽  
Public Awareness ◽  
Personal Data ◽  
Public Trust ◽  
Online News ◽  
Healthcare Management ◽  
Contact Tracing ◽  
Common Denominator ◽  
The Public ◽  
Privacy And Anonymity

AbstractPublic trust is paramount for the well functioning of data driven healthcare activities such as digital health interventions, contact tracing or the build-up of electronic health records. As the use of personal data is the common denominator for these healthcare activities, healthcare actors have an interest to ensure privacy and anonymity of the personal data they depend on. Maintaining privacy and anonymity of personal data contribute to the trustworthiness of these healthcare activities and are associated with the public willingness to trust these activities with their personal data. An analysis of online news readership comments about the failed care.data programme in England revealed that parts of the public have a false understanding of anonymity in the context of privacy protection of personal data as used for healthcare management and medical research. Some of those commenting demanded complete anonymity of their data to be willing to trust the process of data collection and analysis. As this demand is impossible to fulfil and trust is built on a false understanding of anonymity, the inability to meet this demand risks undermining public trust. Since public concerns about anonymity and privacy of personal data appear to be increasing, a large-scale information campaign about the limits and possibilities of anonymity with respect to the various uses of personal health data is urgently needed to help the public to make better informed choices about providing personal data.

Mapping public value processes

2014 ◽  
Vol 27 (4) ◽  
pp. 334-352 ◽  
Author(s):  
John Alford ◽  
Sophie Yates
Keyword(s):  
Public Sector ◽  
Child Nutrition ◽  
Process Mapping ◽  
Public Value ◽  
Public And Private ◽  
Content Type ◽  
The Public ◽  
Public Managers ◽  
Big Picture ◽  
Comprehensive Framework

Purpose – The purpose of this paper is to add to the analytic toolkit of public sector practitioners by outlining a framework called Public Value Process Mapping (PVPM). This approach is designed to be more comprehensive than extant frameworks in either the private or public sectors, encapsulating multiple dimensions of productive processes. Design/methodology/approach – This paper explores the public administration and management literature to identify the major frameworks for visualising complex systems or processes, and a series of dimensions against which they can be compared. It then puts forward a more comprehensive framework – PVPM – and demonstrates its possible use with the example of Indigenous child nutrition in remote Australia. The benefits and limitations of the technique are then considered. Findings – First, extant process mapping frameworks each have some but not all of the features necessary to encompass certain dimensions of generic or public sector processes, such as: service-dominant logic; external as well internal providers; public and private value; and state coercive power. Second, PVPM can encompass the various dimensions more comprehensively, enabling visualisation of both the big picture and the fine detail of public value-creating processes. Third, PVPM has benefits – such as helping unearth opportunities or culprits affecting processes – as well as limitations – such as demonstrating causation and delineating the boundaries of maps. Practical implications – PVPM has a number of uses for policy analysts and public managers: it keeps the focus on outcomes; it can unearth a variety of processes and actors, some of them not immediately obvious; it can help to identify key processes and actors; it can help to identify the “real” culprits behind negative outcomes; and it highlights situations where multiple causes are at work. Originality/value – This approach, which draws on a number of precursors but constitutes a novel technique in the public sector context, enables the identification and to some extent the comprehension of a broader range of causal factors and actors. This heightens the possibility of imagining innovative solutions to difficult public policy issues, and alternative ways of delivering public services.

Museums, the Public, and Public Value

2010 ◽  
Vol 35 (1) ◽  
pp. 33-42 ◽  
Author(s):  
Carol Scott
Keyword(s):  
Public Value ◽  
The Public

High national acceptance for COVID-19 contact tracing technologies in Taiwan (Preprint)

2021 ◽  
Author(s):  
Paul M. Garrett ◽  
Yuwen Wang ◽  
Joshua P. White ◽  
Yoshihisa Kashima ◽  
Simon Dennis ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Contact Tracing ◽  
Virus Spread ◽  
Security Measures ◽  
Contributing Factors ◽  
Privacy And Security ◽  
Social Distancing ◽  
The Public ◽  
Privacy Measures ◽  
Credible Intervals

BACKGROUND Governments worldwide have introduced COVID-19 tracing technologies. Taiwan, a world leader in controlling the virus’ spread, has introduced the Taiwan ‘Social Distancing App’ to facilitate COVID-19 contact tracing. However, for these technologies to be effective, they must be accepted and used by the public. OBJECTIVE Our study aimed to determine public acceptance for three hypothetical tracing technologies: a centralized Government App, a decentralized Bluetooth App (e.g., Taiwan’s Social Distancing App), and a Telecommunication tracing technology; and model what factors contributed to their acceptance. METHODS Four nationally representative surveys were conducted in April 2020 sampling 6,000 Taiwanese residents. Perceptions and impacts of COVID-19, government effectiveness, worldviews, and attitudes towards and acceptance of one-of-three hypothetical tracing technologies were assessed. RESULTS Technology acceptance was high across all hypothetical technologies (67% - 73%) and improved with additional privacy measures (82% - 88%). Bayesian modelling (using 95% highest density credible intervals) showed data sensitivity and perceived poor COVID-19 policy compliance inhibited technology acceptance. By contrast, technology benefits (e.g., returning to activities, reducing virus spread, lowering the likelihood of infection), higher education, and perceived technology privacy, security, and trust, were all contributing factors to overall acceptance. Bayesian ordinal probit models revealed higher COVID-19 concern for other people than for one’s self. CONCLUSIONS Taiwan is currently using a range of technologies to minimize the spread of COVID-19 as the country returns to normal economic and social activities. We observed high acceptance for COVID-19 tracing technologies among the Taiwanese public, a promising and necessary finding for the successful introduction of Taiwan’s new ‘Social Distancing App’. Policy makers may capitalize on this acceptance by focusing attention towards the App’s benefits, privacy and security measures, making the App’s privacy measures transparent to the public, and emphasizing App uptake and compliance among the public. CLINICALTRIAL Not applicable.

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