Difference between revisions of "Sustainable containment of COVID-19 using smartphones in China: Scientific and ethical underpinnings for implementation of similar approaches in other settings (Q4151)"
Jump to navigation
Jump to search
(Created claim: concerns (P110): Coronadata (Q4138)) |
(Created claim: quote (P203): The algorithm could underpin an App-assisted infection-control response to achieve herd protection, when sufficient numbers of people are immune to infection, from coronavirus . Contacts of person A (and all people with the App) are traced using GPS co-localisations with other App users, and by scanning QR-codes displayed on high-traffic public amenities.) |
||
Property / quote | |||
+ | The algorithm could underpin an App-assisted infection-control response to achieve herd protection, when sufficient numbers of people are immune to infection, from coronavirus . Contacts of person A (and all people with the App) are traced using GPS co-localisations with other App users, and by scanning QR-codes displayed on high-traffic public amenities. | ||
Property / quote: The algorithm could underpin an App-assisted infection-control response to achieve herd protection, when sufficient numbers of people are immune to infection, from coronavirus . Contacts of person A (and all people with the App) are traced using GPS co-localisations with other App users, and by scanning QR-codes displayed on high-traffic public amenities. / rank | |||
+ | Normal rank |
Revision as of 14:10, 18 March 2020
schorlary article published on March 16, 2020
Language | Label | Description | Also known as |
---|---|---|---|
English |
Sustainable containment of COVID-19 using smartphones in China: Scientific and ethical underpinnings for implementation of similar approaches in other settings
|
schorlary article published on March 16, 2020
|
Statements
The algorithm could underpin an App-assisted infection-control response to achieve herd protection, when sufficient numbers of people are immune to infection, from coronavirus . Contacts of person A (and all people with the App) are traced using GPS co-localisations with other App users, and by scanning QR-codes displayed on high-traffic public amenities.
0 references