Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Typo Fixed #1

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Typo Fixed #1

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion documentation/technical/covid-tracker-app-metrics.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -24,4 +24,4 @@ The indicators cover 4 areas: adoption and use; contact tracing; symptom trackin
| | | |
| Adoption & Use metrics | These indicators are important to monitor the penetration of the app and to assess the usefulness and representativeness of any data that arises from it. | indicators are necessary for the ongoing monitoring of how the App itself is being adopted and used by those who download it. |
| **‘contact tracing’** and **‘symptom tracking’** | All of these indicators will be useful for understanding how people are using the app and how the app is supporting the contact tracing process. These will also be useful in understanding how the app should be improved in later versions | indicators are necessary for ongoing performance monitoring of the App and as a tool for supporting contact tracing and population level symptom tracking. |
| **‘epidemiology’** | The symptom tracking data is likely to be very noisy. People self reporting will use this tool indifferent ways and at different frequencies. If large amounts of data are collected this will likely mitigate the noise to a sufficient extent to allow aggregate conclusions to be drawn. There are also other very useful indicators that could be collected for this purpose that would be useful – for example the combinations of symptoms typically reported by users, the average duration of symptoms, etc. | indicators are necessary and provide public health value for analysis and modelling purposes and will provide a significant resource for use by the NPHET, the IEMAG, and the HSE. |
| **‘epidemiology’** | The symptom tracking data is likely to be very noisy. People self reporting will use this tool in different ways and at different frequencies. If large amounts of data are collected this will likely mitigate the noise to a sufficient extent to allow aggregate conclusions to be drawn. There are also other very useful indicators that could be collected for this purpose that would be useful – for example the combinations of symptoms typically reported by users, the average duration of symptoms, etc. | indicators are necessary and provide public health value for analysis and modelling purposes and will provide a significant resource for use by the NPHET, the IEMAG, and the HSE. |