Competition for data analysts: analysis covid data

Let's find out together what the newly obtained data from health insurance companies say about the effects of covid vaccines.

Enter the competition for 121.000, -

The Covid era has left a number of unanswered questions and controversies in our society. Scientific studies on the effectiveness of covid vaccination do not publish raw data, which leaves room for doubt.

Therefore, in the Archa 21 project, we are opening a professional challenge for those who want to find out, on the basis of data from health insurance companies, what effect the vaccination had on the health of the (especially) younger population. 

Join this unique cross-industry challenge and help us discover what the data really shows. The first area to analyze will be the use of systemic corticoids.

Why We Investigate  just corticoids?

The consumption of systemic corticoids serves as a reliable indicator of the occurrence of chronic inflammations that can be, among other things, the consequence of infection.

Corticoids are commonly used in patients with autoimmune problems, nonspecific inflammations, as well as long COVID. Since diagnoses entered into health systems may be inaccurately reported, medication consumption is the most reliable indicator available.

While in the older population, the aim of vaccination was primarily to save lives, in the younger population, where the lethality of covid was minimal, it was primarily to protect against the long-term consequences of covid, such as chronic inflammatory conditions. Therefore, we want to see if vaccination really prevented this predicted growth in corticoid consumption.

What is the purpose of this analysis?

We want to find out the answers to the following questions:

Analysts agree on what the data  show and how to interpret them?

Has systemic corticoid consumption increased during the pandemic?

If so, this increase differed between groups of vaccinated  and unvaccinated, was vaccination associated with any effect on corticoid consumption?

Were the trends the same across all age groups?

If so, how? Has the consumption of corticoids increased more in the vaccinated or in the unvaccinated?

Quality background  
and expert jury

This challenge is not just a competition. It is an opportunity to contribute to research  with real impact, research that will finally open the door to an objective debate over vaccination against covid.

The results will be assessed by renowned experts in the fields of statistics, epidemiology, biomedicine and data science.

The jury will be composed to represent different points of view, but have a shared commitment to quality and fairness.

What data are
available?

Anonymized line data of two health insurance companies (OZP and ČPZP) containing:

the date of all vaccinations of each insured person (if they have taken place)
date and identification of each systemic corticoid prescription
age of the patient
for ČPZP data and the expertise of the prescriber

After registration, the data will be sent to your contact email.

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Who is it for
challenge determined?

Challenge is open for:

data analysts, statisticians, bioinformatics
researchers from academia and the private sector
experts and data-literate enthusiasts with an ethical approach to data
doctors and pharmacists willing to help interpret the results

It doesn't matter what opinion you hold, but how you work with the data.

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Why Participate

First of all, find out for yourself what the data says  on the long-term effects of covid vaccines.

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The results of the analyzes will be used to create an expert article, of which you can be a co-author. We intend to publish the article in a prestigious journal with an impact factor.  

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The results will also be presented at a public conference  and in the media.

+Financial Reward

Winner gets 121,000 CZK

12 000 CZK to each of the first 10 participants who send  relevant results and will present them at our conference.

Evaluation Criteria

- The correctness of the analysis defended in the presentation

- Quality of interpretation

- Presentation quality

How can you involve

How to register for the call:

Fill in simple registration form until 30.6.2025

After confirmation, you will receive data download link

Process data according to your approach

Send the results of your analysis until 15.8.2025

On September 11, 2025 present the results at expert mini-conference

What to watch out for  in the analysis

Recommendations for quality analysis

Don't make a simple eyelet vs. non-eyelet comparison. Groups may differ fundamentally (indication of a healthy vaccinee bias).
Observe the evolution over time of individual groups (“before—after” approach, self-controlled design).
Analyze the age cohorts separately.
Remove deceased persons from the sample.

You will receive a more detailed “guide” on what to look out for in the analysis with the dataset.

Competition for data analysts: analysis covid data

Why We Investigate just corticoids?

What is the purpose of this analysis?

Quality background and expert jury

What data are available?