A Health check App sensitive to asymptomatic COVID may be in the works

In summary, the article discusses a promising MIT algorithm that uses cough recordings to detect asymptomatic COVID-19 with 100% sensitivity and 83.2% specificity. However, concerns about false positive results and availability of the app on Google Store raise questions about its practicality.
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.Scott
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TL;DR Summary
Promising results from an algorithm that checks for asymptomatic COVID (and other conditions) based on the sound of a forced cough.
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.Scott said:
Summary:: Promising results from an algorithm that checks for asymptomatic COVID (and other conditions) based on the sound of a forced cough.

https://www.embs.org/ojemb/articles...igence-diagnosis-using-only-cough-recordings/

A study has been posted in Engineering in Medicine and Biology (article) that describes the methods and results from an MIT algorithm as applied to asymptomatic COVID-19. Per the article: "For asymptomatic subjects it achieves sensitivity of 100% with a specificity of 83.2%."

Here's a report on that article.
Wow, impressive. Two questions:

** Does it work if there is an N95 mask held between the patient and my cellphone?

** Is it available in the Google Store?

:smile:
 
  • #3
100% just means their sample size was too small. But let's use that number:
For asymptomatic subjects it achieves sensitivity of 100% with a specificity of 83.2%.
If you have 100 people using that app you might have 0-5 (depending on the location) who actually have the disease, they will show up as positive, and you'll also get 17 who will show up as positive without having it. In other words: Most positive results will be false positives. If the whole population downloads that and tests itself twice per week then you'll want to re-test 5% of the population every day. UAE and Denmark are leading at testing 1% of their population every day at the moment, the US is testing 0.3%, France is testing 0.4%.
You could ask everyone to self-isolate for a week whenever they test positive, but people won't do that with a 17% risk to get a false positive result.
 
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1. What is a health check app sensitive to asymptomatic COVID?

A health check app sensitive to asymptomatic COVID is a mobile application that is designed to help individuals monitor their health and identify potential symptoms of COVID-19, even if they do not have any obvious symptoms. This app would use advanced technology, such as artificial intelligence, to analyze data from the user's daily activities and provide personalized health recommendations.

2. How does the app detect asymptomatic COVID?

The app would use a combination of data from the user's daily activities, such as heart rate, sleep patterns, and movement, to detect any potential symptoms of COVID-19. It would also take into account the user's location and potential exposure to the virus. The app would use advanced algorithms and machine learning to analyze this data and provide accurate results.

3. Can this app replace traditional COVID testing?

No, this app is not meant to replace traditional COVID testing. It is designed to complement existing testing methods and provide an added layer of protection by detecting potential asymptomatic cases. It is important to continue following recommended testing protocols and guidelines from healthcare professionals.

4. Is the app accurate?

The accuracy of the app would depend on the quality and accuracy of the data it receives. The app would need to be regularly updated and improved to ensure its accuracy. It is also important for users to input accurate and honest information for the app to provide reliable results.

5. Will the app be available to everyone?

The availability of the app would depend on the developers and their target audience. It is possible that the app would be available to the general public, but it may also be targeted towards specific groups, such as healthcare workers or individuals at higher risk for COVID-19. It is important to keep an eye out for any updates or announcements from the developers regarding the availability of the app.

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