Tutorial: How to share long threads from Twitter more easily with others.
Are there really long threads on Twitter you would rather read on a single web page and easily share with others who don't use Twitter? 🧵1/
I'm notorious for writing very long threads but in a few easy steps you can find or create easy to share web links for others. The services mentioned here only work for tweets with more than 1 thread and less than 6 months old. 2/
Note, long threads will have tweets after 31 and 61 hidden unless you click on "Show replies" to reveal the additional tweets, so the unrolling service will also show all the tweets on on page, even those. 4/
It is possible to unroll threads from outside of Twitter on their website or by replying to a Twitter thread you like and this tutorial will show you both methods. 5/
2) Copy the link to the Twitter thread and paste it into the website as shown and then click on the "Find Thread" button. 6/
3) Wait for the thread to be processed, and PingThread will then show you the one-page unrolled version. You can now copy the website address (URL) and share that with someone else (see red arrow in image). 7/
You can scroll down the web page and see all of the tweets unrolled into one web page. We have converted this Tweet (
) into this unrolled web page ( pingthread.com/thread/1609236… ). Note how the tweet # is identical on both website addresses. 8/
Unrolling from inside Twitter: 1) Open the thread in Twitter that you would like to unroll into a one page web version.
2) Reply to any tweet in the thready tagging the service of your choice (as seen in photo) 9/: @threadreaderapp unroll
or @PingThread unroll
3) The unrolling service will reply to your tweet with a link to the one-page unrolled web version which in this example is 10/: threadreaderapp.com/thread/1609236…
4) Click on the link or copy and paste it to share with others. They will be able to scroll through all the tweets on one page unrolled together. 11/
Try out the website method or tweet replying method on this thread if you want to practice, then you can use these for any long Twitter threads you find that you want to share or read more easily. 12/
Sometimes other people have already unrolled threads from authors and you can find other interesting tweets by them visiting the author page on these services. 13/
For me that is by typing in the user's Twitter ID instead of a link to one of their tweets like shown in the image, which will bring you here 14/: threadreaderapp.com/user/jeffgilch…
This doesn't show all the tweets the author has written, but just the ones that people have asked the unrolling service to process ( pingthread.com/author/jeffgil… ). 15/
If a Twitter author has gone back and added additional tweets to their thread later on, you can ask the unrolling service to refresh the thread and include the new ones by going to the bottom of the web page of the unrolled thread and clicking on "Refresh Thread". 16/
*** Ontario COVID Hospitalization Rates by Age ***
Data is now available for hospital admissions due to COVID by age group going back to Oct 2021. This provides interesting insights into how much children have been impacted with serious infections compared to adults. 🧵1/
We have heard from many sources throughout the pandemic that COVID isn't serious in children or they are not impacted as much as adults with some people still claiming this today. 2/
What about today, with lower circulation happening more recently and not the huge waves seen in the past, is anyone even being hospitalized for COVID anymore? The most recent update (week of March 8, 2026) there were 188 people hospitalized in Ontario due to COVID. 3/
Hospitalizations due to COVID have gone down from 190 to 138 in the last update. Influenza hospitalizations remained stable around 49 and RSV decreased slightly from 194 to 184. 🧵1/
#Ontario #Virus #Variant #COVID #RSV #Influenza
Looking at age groups, those age 75+ had the highest rates of hospitalization due to COVID but decreased since last update. Second place is age 65-74 and their levels are currently decreasing while age 0-4 has the third highest rate and also decreased since last update. 2/
The youngest age group 0-4 currently have a hospitalization rate due to COVID that are 11x higher than age 5-17, 5.5x higher than age 18-49, and 2x higher than adults 50-64. 3/
Hospitalizations due to COVID increased from 176 to 241 in the last update. Influenza hospitalizations have start dropping from the peak of 1,400 to 1,095 with RSV increasing from 121 to 156. 🧵1/
Looking back over the past few years, new hospitalizations for RSV have remained pretty stable the last two years around 2,500 and a decrease from 2023, while COVID has been significantly dropping each year, 26,571 in 2023 to 15,739 in 2024 to 6,788 in 2025. 2/
Influenza has been doing the opposite, increasing significantly each year from 3,486, to 4,380 in 2024, to 12,818 in 2025. 3/
How does various mask fit compare to filter the air and protect you or others?
Most masks, even baggy blue procedure masks use filtering material that can filter 95%+ of particles that pass through it, but the key is "pass through it". 🧵1/
Protection mostly depends on how well that mask fits your specific face and one that does not fit well, much of the air you breathe will go around the filter material and filter 0% of those particles. 2/
There has been a chart going around recently that talks about "Time it takes to transmit an infectious dose of COVID-19" which is misleading if you don't understand all of the details of how that table was made and what each component means. 3/
The XFG.* "Stratus" family is accounting for 83% while the next closest variant family NB.1.8.1.* "Nimbus" is 12.8% of sequenced genomes from COVID tests. 🧵1/
Looking at specific variants, XFG.3 has dropped considerably and its descendent XFG.3.15 now takes first place at 6.2%, followed by XFG.3 at 5.2% and XFG.2 at 4.5%. 2/
It looks like PY.1.1.1 was trying to make a run for the top in mid-September but has decreased significantly. PY.1.1.1 is a descendant of LF.7 while the XFG variant is a recombination of LF.7 and LP.8.1.2 so they would share some mutations in common. 3/
*** Ontario Variant Update (to: Aug. 16, 2025) ***
Ontario COVID sequence updates have been more frequent over the past month with the XFG.* "Stratus" family of variants now at 74% of sequences, NB.1.8.1.* "Nimbus" at 22% and LP.8.1.* down to 3%. #Variants #XFG #Stratus 🧵1/
Looking at specific variants as of mid August, XFG.5.1 is most prevalent at 13%, NB.1.8.1 in second at 10%, XFG.2 in third at 8.6% and XFG.3 in fourth at 7.4%. 2/
LP.8.1 is what this fall's Japan Novavax vaccine and the mRNA vaccines are designed for which is now almost gone and typical of how these things work with vaccine manufacturing timing while Novavax is providing the previous year's JN.1 vaccine formula for the USA again. 3/