Blog post

Making sense of Israeli vaccination data

February 9, 2021 · by Jan Schultink
← all posts

Here in Tel Aviv, I was lucky enough to receive my second vaccination with the Pfizer COVID-19 vaccine. The whole world is watching us:

There is lots of data available, cases, hospitalizations, difficult cases, casualties, by age, religious background, location, total cases, new cases, etc., etc. And everyone is looking at the top line number, will the big case graph go down and can we declare victory over the virus. Unfortunately so far, it stays more or less stable (at high levels).

This is a typical case of data overload. If you want to see whether the vaccine works you need to compare 2 things like for like: people who got vaccinated, and people who did not. And when you do that (pretty much like a clean medical trial), it shows that the vaccine is overwhelmingly effective, the same size is just not the entire Israeli population.

One such example is hospital admission data from a Tel Aviv hospital. Not millions of people, but a small, isolated group that you can compare. The original chart is here:

I did a quick makeover of this slide in SlideMagic.

But this is the raw data, mainly of interest to scientists / statisticians. The average person just looks at the big blue “2” next to “442”. You can simplify things a bit more, see the following chart:

What did I do?

I included these vaccination charts in the online SlideMagic slide template bank (click on the images), or simply search for ‘vaccination’ in the desktop app to use charts like this in your own presentation.

Data visualization

About this blog

Notes on all things presentations — design, storytelling, and AI workflows.

Subscribe now to never miss a post.

RSS

About SlideMagic

A platform for business presentations.

A free student plan is available.