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Acceptability of App-Based Contact Tracing for COVID-19

Acceptability of App-Based Contact Tracing for COVID-19 | Public Health - Santé Publique | Scoop.it
From mhealth.jmir.org - June 14, 2021 3:27 PM

The COVID-19 pandemic is the greatest public health crisis of the last 100 years. Countries have responded with various levels of lockdown to save lives and stop health systems from being overwhelmed. At the same time, lockdowns entail large socioeconomic costs.

 

One exit strategy under consideration is a mobile phone app that traces the close contacts of those infected with COVID-19.

 

Recent research has demonstrated the theoretical effectiveness of this solution in different disease settings. However, concerns have been raised about such apps because of the potential privacy implications. This could limit the acceptability of app-based contact tracing in the general population. As the effectiveness of this approach increases strongly with app uptake, it is crucial to understand public support for this intervention.

 

Objective: The objective of this study is to investigate the user

acceptability of a contact-tracing app in five countries hit by the pandemic.


Methods: We conducted a largescale, multicountry study (N=5995) to measure public support for the digital contact tracing of COVID-19 infections.

 

We ran anonymous online surveys in France, Germany, Italy, the United Kingdom, and the United States and measured intentions to use a contact-tracing app across different installation regimes (voluntary installation vs automatic installation by mobile phone providers) and studied how these intentions vary across individuals and countries.


Results: We found strong support for the app under both regimes, in all countries, across all subgroups of the population, and irrespective of regional-level COVID-19 mortality rates.

We investigated the main factors that may hinder or facilitate uptake and found that concerns about cybersecurity and privacy, together with a lack of trust in the government, are the main barriers to adoption.


Conclusions:

 

Epidemiological evidence shows that app-based contact tracing can suppress the spread of COVID-19 if a high enough proportion of the population uses the app and that it can still reduce the number of infections if uptake is moderate. Our findings show that the willingness to install the app is very high. The available evidence suggests that app-based contact tracing may be a viable approach to control the diffusion of COVID-19.

 

read the study at https://mhealth.jmir.org/2020/8/e19857

 

Lire l'article complet sur : mhealth.jmir.org


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nrip's curator insight, June 12, 2021 5:34 AM

A lot of research and anecdotal evidence shows that mHealth/Mobile App based contact tracing can suppress the spread of COVID-19 if a high enough proportion of the population uses the app. 

that it can still reduce the number of infections if uptake is moderate is interesting to note.

 

 
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Rescooped by Lionel Reichardt / le Pharmageek from healthcare technology
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Web-Based Apps for Responding to Acute Infectious Disease Outbreaks in the Community: Systematic Review

Web-Based Apps for Responding to Acute Infectious Disease Outbreaks in the Community: Systematic Review | Public Health - Santé Publique | Scoop.it
From publichealth.jmir.org - May 4, 2021 4:06 AM

Web-based technology has dramatically improved our ability to detect communicable disease outbreaks, with the potential to reduce morbidity and mortality because of swift public health action.

 

Apps accessible through the internet and on mobile devices create an opportunity to enhance our traditional indicator-based surveillance systems, which have high specificity but issues with timeliness.


Objective: The aim of this study is to describe the literature on web-based apps for indicator-based surveillance and response to acute communicable disease outbreaks in the community with regard to their design, implementation, and evaluation.

Results: Apps were primarily designed to improve the early detection of disease outbreaks, targeted government settings, and comprised either complex algorithmic or statistical outbreak detection mechanisms or both.

 

We identified a need for these apps to have more features to support secure information exchange and outbreak response actions, with a focus on outbreak verification processes and staff and resources to support app operations.

 

Conclusions: Public health officials designing new or improving existing disease outbreak web-based apps should ensure that outbreak detection is automatic and signals are verified by users, the app is easy to use, and staff and resources are available to support the operations of the app and conduct rigorous and holistic evaluations.

 

read the study at https://publichealth.jmir.org/2021/4/e24330

 

Lire l'article complet sur : publichealth.jmir.org


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nrip's curator insight, May 3, 2021 5:38 PM

The large scale adoption and constant improvement of these kind of tools - i.e. Tools for Identifying, managing and responding to Infectious Disease Outbreaks in Communities should have started 10 years ago. This is one of my favorite areas of #DigitalHealth. Having been the architect of a number of successful Epidemic Detection and Prediction systems, I feel in this area of Digital Health we still have a long way to go till we reach level where Epidemic Management Teams trust the systems more than their Ears on the ground.

 

But I know that with constant effort, regular additions of modern data paradigms , regular effort and improvement and interdisciplinary cooperation, a point in time where outbreaks can be contained before they occur will come by. Thought that day  is out there in the future ,that  its possibility  alone should drive us forward.

 

To learn about or have a demo of Plus91's Early Warning and Outbreak Detection System which is based on the principles of Syndromic Surveillance and Machine Learning, please contact me via the form with the words "Surveillance Demo" in the message. I promise you it is unlike what you would have seen elsewhere.

 
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Analyzing the Essential Attributes of Nationally Issued COVID-19 Contact Tracing Apps

Analyzing the Essential Attributes of Nationally Issued COVID-19 Contact Tracing Apps | Public Health - Santé Publique | Scoop.it
From mhealth.jmir.org - May 4, 2021 4:05 AM

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]). This sample was purposefully selected; our intention was to include the apps of different countries from around the world and to propose a valid item set that can be relatively easily applied by using an OSINT approach.



Results: Our OSINT approach and subsequent analysis of the collected documents resulted in the definition of the following five main categories and associated subcategories:


 


(1) background information (open-source code, public information, and collaborators);


 


(2) purpose and workflow (secondary data use and warning process design);


 


(3) technical information (protocol, tracing technology, exposure notification system, and interoperability);


 


(4) privacy protection (the entity of trust and anonymity); and


 


(5) availability and use (release date and the number of downloads).


 


Based on this structure, a set of items that constituted the evaluation framework were specified. The application of these items to the 10 selected countries revealed differences, especially with regard to the centralization of the entity of trust and the overall transparency of the apps’ technical makeup.



Conclusions: We provide a set of criteria for monitoring and evaluating COVID-19 tracing apps that can be easily applied to publicly issued information. The application of these criteria might help governments to identify design features that promote the successful, widespread adoption of COVID-19 tracing apps among target populations and across national boundaries.


 


 read the study at https://mhealth.jmir.org/2021/3/e27232


 


 

Lire l'article complet sur : mhealth.jmir.org


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nrip's curator insight, May 4, 2021 4:03 AM

Where a lot of studies falter, is they dont focus on ease of use as a primary criteria of evaluation. Digital Health tools for far too long have faced criticism due to the ease of use factor.

 

It takes several iterations for any app/tool to become easy to use when the use cases contain a lot of data input. As such, contact tracing tools will do well by being built over surveillance and data collection platforms like MediXcel Lite and Commcare.

 

The data collection platforms must also focus on contact tracing as a type of app they generate along with the longitudinal and case based apps they currently allow.

 
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Tracing the Origin of the Covid Virus

Tracing the Origin of the Covid Virus | Public Health - Santé Publique | Scoop.it
From www.wired.com - December 8, 2020 1:27 AM

With cases soaring across the globe, the Covid-19 pandemic is nowhere near its end, but with three vaccines reporting trial data and two apparently nearing approval by the US FDA, it may be reaching a pivot point.


 


In what feels like a moment of drawing breath and taking stock, international researchers are turning their attention from the present back to the start of the pandemic, aiming to untangle its origin and asking what lessons can be learned to keep this from happening again.


 


Two efforts are happening in parallel. On November 5, the World Health Organization quietly published the rules of engagement for a long-planned and months-delayed mission that creates a multinational team of researchers who will pursue how the virus leaped species. Meanwhile, last week, a commission created by The Lancet and headed by the economist and policy expert Jeffrey Sachs announced the formation of its own international effort, a task force of 12 experts from nine countries who will undertake similar tasks.


 


Both groups will face the same complex problems. It has been approximately a year since the first cases of a pneumonia of unknown origin appeared in Wuhan, China, and about 11 months since the pneumonia’s cause was identified as a novel coronavirus, probably originating in bats.


 


The experts will have to retrace a chain of transmission—one or multiple leaps of the virus from the animal world into humans—using interviews, stored biological samples, lab assays, environmental surveys, genomic data, and the thousands of papers published since the pandemic began, all while following a trail that may have gone cold.

 

The point is not to look for patient zero, the first person infected—or even a hypothetical bat zero, the single animal from which the novel virus jumped.


 


It’s likely neither of those will ever be found. The goal instead is to elucidate the ecosystem—physical, but also viral—in which the spillover happened and ask what could make it likely to happen again.


 


more at WIRED : https://www.wired.com/story/two-global-efforts-try-to-trace-the-origin-of-the-covid-virus/?utm_source=pocket-newtab-intl-en

Lire l'article complet sur : www.wired.com


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nrip's curator insight, December 7, 2020 1:57 PM

Back tracing the origins of an outbreak or an epidemic is way tougher than people expect it to be. So much changes during the period the epidemic ravages on, including the data from the time at which it was breaking out. Its high time, the world and health experts learn that the best way to manage and trace the roots of an outbreak is to prevent it, and if a break out happens, act fast towards containing its spread and studying it in parallel.
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