Infectious Diseases
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A curation of the best Articles and Research on Infectious Diseases. (Not a news site, focus on ideas, research, solutions, protocols and discussions related infectious/communicable/tropical diseases.
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Acceptability of App-Based Contact Tracing for COVID-19

Acceptability of App-Based Contact Tracing for COVID-19 | Infectious Diseases | Scoop.it

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

 

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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Optimal symptom combinations to aid COVID-19 case identification

Optimal symptom combinations to aid COVID-19 case identification | Infectious Diseases | Scoop.it

In a clinical trial, diagnostic testing of suspected cases e.g RT-PCR for severe acute respiratory SARS-CoV-2, can be triggered by the presence of any COVID-19 associated symptom.


A household survey in the United Kingdom (UK) showed that fever, cough, anosmia, and ageusia were present on the day of testing in only 60% of symptomatic, RT-PCR positive individuals, implying that other less specific signs/symptoms associated with COVID-19 occur in a substantial number of patients.


The signs/symptoms associated with COVID-19 are extensive and overlap with those of other common viral infections.


Diagnostic work-up following any COVID-19 associated symptom will lead to extensive testing, potentially overwhelming laboratory capacity whilst primarily yielding negative results. We aimed to identify optimal symptom combinations to capture most cases using fewer tests with implications for COVID-19 vaccine developers across different resource settings and public health.

 

Methods


UK and US users of the COVID-19 Symptom Study app who reported new-onset symptoms and an RT-PCR test within seven days of symptom onset were included. Sensitivity, specificity, and number of RT-PCR tests needed to identify one case (test per case [TPC]) were calculated for different symptom combinations.

 

A multi-objective evolutionary algorithm was applied to generate combinations with optimal trade-offs between sensitivity and specificity.


Interpretation
We confirmed the significance of COVID-19 specific symptoms for triggering RT-PCR and identified additional symptom combinations with optimal trade-offs between sensitivity and specificity that maximize case capture given different resource settings.

 

 

read this paper at https://www.journalofinfection.com/article/S0163-4453(21)00079-7/fulltext

 

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