Hard to tell what you are trying to prove. I’m not saying it’s not accurate, but I wouldn’t forward this to anyone as proof of anything. Just not a compelling presentation. But I 100% support the effort you continue to put in to showing what is actually going on. Thank you so much for all your effort.
When I did this exercise, I guess what I took away from it was that it failed to show any clear impact of vaccinations on COVID hospitalizations. From the eye, it seemed to me that a given county was just as likely to have their largest peaks in winter 2021-2022 as they were to have peaked in winter 2020-2021. Perhaps I am preaching to the choir at this point, but I guess I want to say something like, "If vaccinations are so good at reducing hospitalizations, why didn't they seem to in the places in the country where most people live?".
The .gif is nice snapshot.....could use a little more delay before advancing states results.
Doesn't look like jabs stop hospitalizations. I'm assuming normalizing the total number of hospitalizations vs C19 admissions would reveal similar peaks. Just thinking if the hospitals are pushing more diagnosis to C19....then generalized hospitalizations decreased too......or maybe vice-versa.
I like it. 🌈 It's similar to the videos people are making of the local news articles of athlete deaths. Instead of clicking on each article, it shows an image of the death and they circled the date. For those who are just stepping outside the safe and effective narrative, and who might be less likely to spend time clicking on multiple links, your gif shows that hospitalization waves are equal to or more than previous waves before vaccination. Some of the vaccination lines are perpendicular, I assume that is because of how it's reported.
Trend lines for hospitalizations. You can easily see the upward trend in jabs. Not as easily seen in the sine wave of hospitalizations is the trend. A trend line for hospitalizations would be very helpful to visualize the effect of jabs on hospitalizations. Also, I know there is a statistical formula for determining correlation. Could you calculate that and display that singular number somewhere on each graph? I agree with other comments. Make the transition slower so we can process each graph. Make the name of the county larger. Great work and very helpful.
Hard to tell what you are trying to prove. I’m not saying it’s not accurate, but I wouldn’t forward this to anyone as proof of anything. Just not a compelling presentation. But I 100% support the effort you continue to put in to showing what is actually going on. Thank you so much for all your effort.
When I did this exercise, I guess what I took away from it was that it failed to show any clear impact of vaccinations on COVID hospitalizations. From the eye, it seemed to me that a given county was just as likely to have their largest peaks in winter 2021-2022 as they were to have peaked in winter 2020-2021. Perhaps I am preaching to the choir at this point, but I guess I want to say something like, "If vaccinations are so good at reducing hospitalizations, why didn't they seem to in the places in the country where most people live?".
Good snapshot, layer in excess mortality if possible.
Not useful. You are switching between counties too fast.
A control arrow to "go to the next" would be better.
The .gif is nice snapshot.....could use a little more delay before advancing states results.
Doesn't look like jabs stop hospitalizations. I'm assuming normalizing the total number of hospitalizations vs C19 admissions would reveal similar peaks. Just thinking if the hospitals are pushing more diagnosis to C19....then generalized hospitalizations decreased too......or maybe vice-versa.
I like it. 🌈 It's similar to the videos people are making of the local news articles of athlete deaths. Instead of clicking on each article, it shows an image of the death and they circled the date. For those who are just stepping outside the safe and effective narrative, and who might be less likely to spend time clicking on multiple links, your gif shows that hospitalization waves are equal to or more than previous waves before vaccination. Some of the vaccination lines are perpendicular, I assume that is because of how it's reported.
Trend lines for hospitalizations. You can easily see the upward trend in jabs. Not as easily seen in the sine wave of hospitalizations is the trend. A trend line for hospitalizations would be very helpful to visualize the effect of jabs on hospitalizations. Also, I know there is a statistical formula for determining correlation. Could you calculate that and display that singular number somewhere on each graph? I agree with other comments. Make the transition slower so we can process each graph. Make the name of the county larger. Great work and very helpful.