Ask HN: Plausibility of an idea to limit the spread of Covid-19
The challenge of the current COVID-19 pandemic is well-known.
Could a voluntary user-tracking app help reduce the R0 level of the COVID-19 virus?
One of the main challenges with this virus is that carriers of the virus become infectious well before they show symptoms. Consequently, they pass on the infection before they can be isolated.
Apps such as Google Maps already track users' movements to a high level of precision. A similar app could be created that tracked users' movements and notified people they had interacted with if they got infected.
It would work like this:
- Users' movements are tracked
- Upon developing a fever (etc.) the user notifies the app
- The app checks their movements during the estimated period they could have been infectious
- Every other user who was in their presence for X minutes gets notified and requested to isolate themselves
- Recursively check those users' movements to see if they may have passed on the virus
Disadvantages I can think of off the top of my head: - Requires simultaneous voluntary use by a large proportion of a regional population
- Possibility of false positives by bad actors (would an occasional false positive be so bad)?
- Requires some minimal altruism by the user (they won't be helped directly)
9 comments
[ 2.9 ms ] story [ 33.7 ms ] threadProblem is, it wasn't that localized. It would wake them for alerts that were 100 miles away, and which didn't affect them.
They stopped using the alarm.
In general, people won't use a service like what you describe unless it's really actionable. And I don't think this system has a high false positive rate (and high false negative rate) so there isn't good actionable information beyond what general precautions (social distancing, good hand hygiene, etc.) offer.
- What percentage of people get fevers from other reasons? That is, even without bad actors, people are going to report fevers, and those might overwhelm the actual positives.
- How close does your infection model (X minutes within distance Y) match the actual infection mechanism and rate? I suspect it isn't that good, and will include many people who aren't infected.
> What percentage of people get fevers from other reasons?
Interesting. Other infectious diseases (flu/colds) seem to be going down in countries with lockdowns so this may not be such a big issue.
> - How close does your infection model (X minutes within distance Y) match the actual infection mechanism and rate? I suspect it isn't that good, and will include many people who aren't infected.
I pitched this idea to a leading epidemiologist and he thought the mechanism would work.
If 50% of the 36 million flu illnesses had a fever, and the flu season is 23 weeks long (the records start in 201940), and the flu lasts for one week, then that's over 750,000 people each week with a fever, on average.
That number far outweighs the current numbers for people with COVID-19 symptoms, so gives a large false-negative signal in the current situation.
As the number of cases increase, the signal-to-noise ratio changes. But at some point, specialized per-person notification is no better than general advice to the entire population.
You mention that the numbers for flu/colds "seem to be going down in countries with lockdowns."
FWIW, it's also going down in the US without lockdowns. That's because we are approaching the end of the flu season. See the CDC chart just under the text "In the most recent three weeks, influenza A viruses are the most commonly reported influenza viruses in all age groups." in my earlier link.
> But at some point, specialized per-person notification is no better than general advice to the entire population.
I take your point, but I think targetted "you have had a good chance of being exposed" is far more likely to result in action than "minimise contact with other people if possible".
A preprint of a paper which looks like has similar ideas but some more formal modelling: https://www.medrxiv.org/content/10.1101/2020.03.08.20032946v...
I also can't figure out why you and are are downvoted for our low-key discussion in a days-old posting, so I've up-voted you.
Who gets traced?
https://twitter.com/carolvorders/status/1237653282761383937?...
But in practice I don't think you'd have that many notifications (there's not that many people you'd stand next to for, say, 5 minutes within 1 metre) and they could all be true positives.