I think most people who leverage my covid-19 site know this already, but it begs repeating.

I download publicly available data from the Florida Dept of Health, Dept of Health and Human Services, CDC, & the census.

I have exactly $0 for this, so I collect no new data.

1/
Why do I recycle the data? Well, I find that on the existing dashboards, accessibility and comprehension of the data are often a challenge. So, I tried to combine them, calculate new, useful indicators, and bring them to life with visualizations and informative tooltips.

2/
Goal 1 it's to improve the ability to drill down, for example, to your county or age group of interest regardless of the metric.

Goal 2 is to make the visualizations meaningful and helpful in understanding the situation.

3/
Goal 3 is to calculate new measures that enhance understandability of the data, or facilitate meaningful comparisons.

Goal 4 is to provide detailed tooltips that explain what the data mean to the extent possible.

4/
But, and this is important, these are not my data, and I am at the mercy of the data of being provided by these agencies, and I'm thankful that they provide them.

5/
Although I'm largely recycling and repackaging existing data, I hope the site continues to be of help to everyone. Although it uses existing data it's still a lot of work to compile each and every day.

6/
I also do my best to check for obvious errors in the data and to bring it to each agency's attention when I find things that don't make sense.

7/
Anyhow, I sometimes hear that people "trust my data" over others, and it's just important to articulate that they are not my data. I do value that people trust the way that I organize and present the information! That's why I do it!

8/
Have a beautiful Sunday!

9/

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Jason L. Salemi, PhD

Jason L. Salemi, PhD Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @JasonSalemi

21 Feb
📈New tool for you to assess #COVID19 #vaccination progress in #Florida over time for any age group and for any county or COMBINATION of counties.

Simple, but useful.

For example, below is vax progress for FL among residents of the state who are 65+.

1/6
Single county? No problem. Below is the county with the highest (Lafayette, LEFT) and lowest (Glades, RIGHT) % of their seniors vaccinated.

2/6
But often, we may be interested in regions.

Below is for "my" region: Hillsborough, Pinellas, Pasco, and Polk.

3/6
Read 6 tweets
20 Feb
🚨Based on requests, I've added a few simple visualizations to my site to help track #Genomic #Surveillance & US #COVID19 Cases Caused by #Variants

Normally I hate repeating things available elsewhere, but the CDC viz spanned two sites & addt'l calculations were missing.

1/5
The first map displays each state's % of cumulative cases that have been sequenced.

But I also display the state ranking. For example, FL has sequenced 0.22% of cases (rank 26th).

Top 4 states (all over 2%) is Hawaii, Maine, Wyoming, & Washington.

Worst is Tennessee.

2/5 Image
The real value of what I've put together (IMO) is in the tooltip when you hover over a state.

- total sequenced
- % sequenced
- ranking
- cases caused by each of the 3 major variants
- cases expressed as "per 1,000 samples sequenced" and as "per 1 million population"

3/5 Image
Read 5 tweets
17 Feb
A 🧵 on COVID-19 deaths

1. trends in COVID-19 deaths in FL
2. trends in "excess deaths" using CDC estimates

In summer "surge" in FL:
- 40 straight days w/ 7-day avg deaths >150
- 20 straight days w/ 7-day avg deaths >200
- peak was 240 (8/4)
- peak 7d avg was 227 (8/5)

1/
In Jan in FL:
- now at 20 straight days w/ 7-day avg deaths >150 (1/3 to 1/26)
- peak at 204 (1/15)
- peak 7d avg was 187 (1/18)

Reporting still coming in, so these numbers likely to rise. But likely not to match summer peak.

Why?

2/
Well, the "peak" of "current hospitalizations" in mid-Jan did not get as high as the summer surge.

And as you've likely heard me say, 7d average hospitalizations are very predictive of 7d average deaths 5-7 days later.

3/
Read 14 tweets
16 Feb
To be fair @MarcACaputo, vaccination rates per capita are one measure to track vaccine progress. But, ability to administer depends on federal supply, so another important indicator is the % of distributed vaccine doses that have been administered.

1/5

On that metric (as of yesterday), Florida was at 77.3% (3,490,648 of 4,514,300).

That ranked tied for 29th and pretty much at the national average of 78.0%.

Among 10 most populous states, FL ranked tied for 5th (w/ Ohio) and behind NC, MI, TX, and NY.

2/5
I also looked at CDCs most recent % excess death data through 1/30/2021.

FL ranks 4th in NUMBER of all-cause excess deaths (34,851) since Feb 2, 2020.

But, of course they do - they are the 3rd largest state.

A fairer comparison is CDC's % excess deaths estimate.

3/5
Read 5 tweets
14 Feb
As I was updating my dashboard, I noticed an oddity as @HealthyFla testing data are updated each day.

This pertains to info you can find on page 2 of the statewide report. Snapshot of today's report is below.

Nothing Earth-shattering in this 🧵, feel free to ignore.

1/7 Image
Each day's report has people who tested +ve & -ve each day for the past 2 wk

Due to @HealthyFla cleaning, # reported for given day will change SLIGHTLY from report to report, likely as duplicates are found & removed, or as tests deemed to be among non-residents are removed.

2/7
For example, on the Feb 12 report, the people tested on Feb 11 were:
- 132,528 negative
- 11,631 positive

But on the Feb 13 report, the people tested on Feb 11 were updated to:
- 132,239 negative (289 fewer)
- 11,625 positive (6 fewer)

3/7
Read 7 tweets
9 Feb
A basic (but important) epidemiology 🧵 on comparisons.

In this case, comparing unadjusted COVID-19 death rates across states, counties, or other jurisdictions.

I will illustrated using all 24 counties in FL with an estimated population of 250,000+

1/
By now, most people know that you can't just compare the total number of COVID-19 deaths because counties with bigger populations will have the opportunity for more deaths.

The counts are good for public health burden, but not to compare risk of mortality.

2/
So, we account for differences in county population sizes by calculating a mortality rate, usually expressed as:

# deaths
----------- x 100,000
total pop

If that's the case, then the 5 highest mortality rates are in:
1. Escambia
2. Dade
3. Marion
4. St. Lucie
5. Palm Beach

3/
Read 16 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!

Follow Us on Twitter!