Some of my research shows this for chronic disease - lots of people stop using apps even if they are beneficial, and this pattern is non-random https://www.jmir.org/2020/9/e20283/
-
Show this thread
-
What we'd need to really understand the prevalence of
#LongCovid in populations is to enroll a large group of people - including asymptomatic cases and people who don't have COVID - and follow them over time to see what happens3 replies 4 retweets 28 likesShow this thread -
We'd also need to try and get data from pretty much everyone at every time point, because it's likely that those who drop out are different to those who don't in ways that may be all but impossible to measure
1 reply 0 retweets 17 likesShow this thread -
Unfortunately, that's really hard to do, so we are left to interpret the observational data that gives us, at best, a biased view of the situation
1 reply 0 retweets 13 likesShow this thread -
Whenever you see a proportion being proposed (i.e. 1 in 20 people have Long COVID) it's important to understand the denominator Is it everyone? Only those in one study? Who did that study enroll?
1 reply 0 retweets 19 likesShow this thread -
Important note - it's possible I've missed a large prospective study that does answer this question, I've tried to look but please do let me know if one has been published
2 replies 0 retweets 13 likesShow this thread -
Important note #2 - this bias could easily bias the results IN BOTH DIRECTIONS, meaning that there could be less or far more
#LongCovid than reported. There are reasonable arguments both ways!4 replies 1 retweet 30 likesShow this thread -
Replying to @GidMK
There are estimates from random samples of population prevalence surveys & from follow up of (almost) all outpatients testing +ve. Based on these, the prevalence in adults is between 10-25% at around 3 months from onset, obviously with varying degrees of disability & severity.
3 replies 8 retweets 27 likes -
-
Replying to @GidMK
Yes of course. We’re doing a systematic review on prevalence of LC atm. I have tweeted such studies over the last months.
2 replies 0 retweets 8 likes
Amazing! I look forward to the review 
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.