scholarly journals COVIDTAS COVID-19 Tracing App Scale—An Evaluation Framework

2021 ◽  
Vol 13 (5) ◽  
pp. 2912
Author(s):  
Raghu Raman ◽  
Krishnashree Achuthan ◽  
Ricardo Vinuesa ◽  
Prema Nedungadi

Mobile apps play an important role in COVID-19 tracing and tracking, with different countries taking different approaches. Our study focuses on 17 government owned COVID-19 Contact Tracing Apps (CTAs) and analyze them using a proposed COVIDTAS framework. User satisfaction is not directly related to the COVIDTAS score or the interaction between users and the app developers. To increase adoption of CTAs, government leadership must offer assurance to its citizens that their identify will be concealed and emphasize the benefits of CTAs as it relates to shared public health. While no country has topped the list on all three major factors (COVIDTAS Score, User Reviews, and User Ratings), the CTA from India seems to have above average performance on all three factors.

2021 ◽  
Vol 28 (1) ◽  
pp. e100320
Author(s):  
Vahid Garousi ◽  
David Cutting

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).


10.2196/26460 ◽  
2021 ◽  
Vol 7 (4) ◽  
pp. e26460
Author(s):  
Moritz Platt ◽  
Anton Hasselgren ◽  
Juan Manuel Román-Belmonte ◽  
Marcela Tuler de Oliveira ◽  
Hortensia De la Corte-Rodríguez ◽  
...  

The enormous pressure of the increasing case numbers experienced during the COVID-19 pandemic has given rise to a variety of novel digital systems designed to provide solutions to unprecedented challenges in public health. The field of algorithmic contact tracing, in particular, an area of research that had previously received limited attention, has moved into the spotlight as a crucial factor in containing the pandemic. The use of digital tools to enable more robust and expedited contact tracing and notification, while maintaining privacy and trust in the data generated, is viewed as key to identifying chains of transmission and close contacts, and, consequently, to enabling effective case investigations. Scaling these tools has never been more critical, as global case numbers have exceeded 100 million, as many asymptomatic patients remain undetected, and as COVID-19 variants begin to emerge around the world. In this context, there is increasing attention on blockchain technology as a part of systems for enhanced digital algorithmic contact tracing and reporting. By analyzing the literature that has emerged from this trend, the common characteristics of the designs proposed become apparent. An archetypal system architecture can be derived, taking these characteristics into consideration. However, assessing the utility of this architecture using a recognized evaluation framework shows that the added benefits and features of blockchain technology do not provide significant advantages over conventional centralized systems for algorithmic contact tracing and reporting. From our study, it, therefore, seems that blockchain technology may provide a more significant benefit in other areas of public health beyond contact tracing.


Author(s):  
Omar Mubin ◽  
Billy Cai ◽  
Abdullah Al Mahmud ◽  
Isha Kharub ◽  
Michael Lwin ◽  
...  

Mobile apps have become increasingly prevalent in modern society, and persuasive technology has a broader market than ever. Mobile-based alcohol cessation apps can promote positive behaviour change in users and improve the overall health of our society. This research aimed to understand the various features users respond to and make design recommendations for alcohol cessation apps. This paper reports on three sources of feedback (user ratings, user reviews, MARS App Quality score) provided on 20 alcohol cessation apps in the Google Play Store. Our findings suggest that self-control type apps received much greater positive user reviews than motivational apps. In addition, this trend was not observed through numeric user ratings. We also speculate on design recommendations for apps that are meant to inhibit alcohol intake.


2020 ◽  
Author(s):  
Moritz Platt ◽  
Anton Hasselgren ◽  
Juan Manuel Román-Belmonte ◽  
Marcela Tuler de Oliveira ◽  
Hortensia De la Corte-Rodríguez ◽  
...  

UNSTRUCTURED The enormous pressure of the increasing case numbers experienced during the COVID-19 pandemic has given rise to a variety of novel digital systems designed to provide solutions to unprecedented challenges in public health. The field of algorithmic contact tracing, in particular, an area of research that had previously received limited attention, has moved into the spotlight as a crucial factor in containing the pandemic. The use of digital tools to enable more robust and expedited contact tracing and notification, while maintaining privacy and trust in the data generated, is viewed as key to identifying chains of transmission and close contacts, and, consequently, to enabling effective case investigations. Scaling these tools has never been more critical, as global case numbers have exceeded 100 million, as many asymptomatic patients remain undetected, and as COVID-19 variants begin to emerge around the world. In this context, there is increasing attention on blockchain technology as a part of systems for enhanced digital algorithmic contact tracing and reporting. By analyzing the literature that has emerged from this trend, the common characteristics of the designs proposed become apparent. An archetypal system architecture can be derived, taking these characteristics into consideration. However, assessing the utility of this architecture using a recognized evaluation framework shows that the added benefits and features of blockchain technology do not provide significant advantages over conventional centralized systems for algorithmic contact tracing and reporting. From our study, it, therefore, seems that blockchain technology may provide a more significant benefit in other areas of public health beyond contact tracing.


2020 ◽  
Author(s):  
Gill Kazevman ◽  
Marck Mercado ◽  
Jennifer Hulme ◽  
Andrea Somers

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.


2020 ◽  
Author(s):  
Helmi Zakariah ◽  
Fadzilah bt Kamaluddin ◽  
Choo-Yee Ting ◽  
Hui-Jia Yee ◽  
Shereen Allaham ◽  
...  

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.


Author(s):  
Mark E. Keim ◽  
Laura A. Runnels ◽  
Alexander P. Lovallo ◽  
Margarita Pagan Medina ◽  
Eduardo Roman Rosa ◽  
...  

Abstract Objective: The efficacy is measured for a public health intervention related to community-based planning for population protection measures (PPMs; ie, shelter-in-place and evacuation). Design: This is a mixed (qualitative and quantitative) prospective study of intervention efficacy, measured in terms of usability related to effectiveness, efficiency, satisfaction, and degree of community engagement. Setting: Two municipalities in the Commonwealth of Puerto Rico are included. Participants: Community members consisting of individuals; traditional leaders; federal, territorial, and municipal emergency managers; municipal mayors; National Guard; territorial departments of education, health, housing, public works, and transportation; health care; police; Emergency Medical Services; faith-based organizations; nongovernmental organizations (NGOs); and the private sector. Intervention: The intervention included four community convenings: one for risk communication; two for plan-writing; and one tabletop exercise (TTX). This study analyzed data collected from the project work plan; participant rosters; participant surveys; workshop outputs; and focus group interviews. Main Outcome Measures: Efficacy was measured in terms of ISO 9241-11, an international standard for usability that includes effectiveness, efficiency, user satisfaction, and “freedom from risk” among users. Degree of engagement was considered an indicator of “freedom from risk,” measurable through workshop attendance. Results: Two separate communities drafted and exercised ~60-page-long population protection plans, each within 14.5 hours. Plan-writing workshops completed 100% of plan objectives and activities. Efficiency rates were nearly the same in both communities. Interviews and surveys indicated high degrees of community satisfaction. Engagement was consistent among community members and variable among governmental officials. Conclusions: Frontline communities have successfully demonstrated the ability to understand the environmental health hazards in their own community; rapidly write consensus-based plans for PPMs; participate in an objective-based TTX; and perform these activities in a bi-lingual setting. This intervention appears to be efficacious for public use in the rapid development of community-based PPMs.


Author(s):  
Thomas Plümper ◽  
Eric Neumayer

AbstractBackgroundThe Robert-Koch-Institute reports that during the summer holiday period a foreign country is stated as the most likely place of infection for an average of 27 and a maximum of 49% of new SARS-CoV-2 infections in Germany.MethodsCross-sectional study on observational data. In Germany, summer school holidays are coordinated between states and spread out over 13 weeks. Employing a dynamic model with district fixed effects, we analyze the association between these holidays and weekly incidence rates across 401 German districts.ResultsWe find effects of the holiday period of around 45% of the average district incidence rates in Germany during their respective final week of holidays and the 2 weeks after holidays end. Western states tend to experience stronger effects than Eastern states. We also find statistically significant interaction effects of school holidays with per capita taxable income and the share of foreign residents in a district’s population.ConclusionsOur results suggest that changed behavior during the holiday season accelerated the pandemic and made it considerably more difficult for public health authorities to contain the spread of the virus by means of contact tracing. Germany’s public health authorities did not prepare adequately for this acceleration.


2021 ◽  
Vol 26 (4) ◽  
Author(s):  
Jordan Samhi ◽  
Kevin Allix ◽  
Tegawendé F. Bissyandé ◽  
Jacques Klein

AbstractDue to the convenience of access-on-demand to information and business solutions, mobile apps have become an important asset in the digital world. In the context of the COVID-19 pandemic, app developers have joined the response effort in various ways by releasing apps that target different user bases (e.g., all citizens or journalists), offer different services (e.g., location tracking or diagnostic-aid), provide generic or specialized information, etc. While many apps have raised some concerns by spreading misinformation or even malware, the literature does not yet provide a clear landscape of the different apps that were developed. In this study, we focus on the Android ecosystem and investigate Covid-related Android apps. In a best-effort scenario, we attempt to systematically identify all relevant apps and study their characteristics with the objective to provide a first taxonomy of Covid-related apps, broadening the relevance beyond the implementation of contact tracing. Overall, our study yields a number of empirical insights that contribute to enlarge the knowledge on Covid-related apps: (1) Developer communities contributed rapidly to the COVID-19, with dedicated apps released as early as January 2020; (2) Covid-related apps deliver digital tools to users (e.g., health diaries), serve to broadcast information to users (e.g., spread statistics), and collect data from users (e.g., for tracing); (3) Covid-related apps are less complex than standard apps; (4) they generally do not seem to leak sensitive data; (5) in the majority of cases, Covid-related apps are released by entities with past experience on the market, mostly official government entities or public health organizations.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Emalie Rosewarne ◽  
Michael Moore ◽  
Wai-Kwan Chislett ◽  
Alexandra Jones ◽  
Kathy Trieu ◽  
...  

Abstract Background Public health advocacy strategies facilitate policy change by bringing key health issues to the forefront of public and political discourse, influencing decision-makers and public opinion, and increasing policy demand. The Victorian Salt Reduction Partnership (VSRP) was established in 2014 in response to inadequate government action to improve population diets in Australia. This study aimed to evaluate the success of the VSRP’s advocacy strategy in achieving policy change. Methods Documentation of VSRP activities and outputs were collected, and semi-structured interviews conducted as part of a comprehensive process evaluation. For this study, the Kotter Plus 10-step public health advocacy evaluation framework was used to guide data extraction, analysis, and synthesis. Results A sense of urgency for salt reduction was generated by producing evidence and outlining the potential impact of a state-based salt reduction programme. This enabled the creation of a coalition with diverse skills and expertise, which facilitated the development of an innovative and collaborative advocacy action plan. A clear change vision was established, but communication of the vision to decision-makers was lacking, which reduced the impact of the programme as decision-makers were not provided with a clear incentive for policy change. As a result, while programme outputs were achieved, these did not translate to achieving broader strategic goals during a limited-term intervention in a political climate unconcerned with salt. Conclusions The Kotter Plus 10-step framework was a useful tool for evaluating the success of the VSRP advocacy strategy. The framework enabled the identification of key strengths, including the creation of the guiding coalition, and areas where efforts could be improved in future similar strategies, such as effective communication within partnerships and to decision-makers, to better influence policy and improve public health impact.


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