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MMR-py vax coverage max(1st or 2nd Dose) vs Measles confirmed reported cases /1M
for different european countries



Confirmed reported cases, including those confirmed clinically, epidemiologically-linked or by laboratory investigation, EXCEPT for countries that have eliminated. For countries that HAVE eliminated, cases confirmed clinically should not be included in the sum of total cases!

Confirmed reported Case incidence Download Link atlas.ecdc.europa.eu
Vac coverage official Numbers MMR vaccine 1st or 2d Dose Download Link atlas.ecdc.europa.eu

Disclaimer:

The results have not been checked for errors. Neither methodological nor technical checks or data cleansing have been performed.


Dowhy causal impact estimation vax coverage on measles confirmed reported case incidence /1M for differnt countries,
M-containing vac max(1st or 2nd) Dose


DoWhy is a Python library for causal inference that allows modeling and testing of causal assumptions, based on a unified language for causal inference. See the book Models, Reasoning, and Inference by Judea Pearl for deeper insights, that goes far beyond my horizon.


Phyton script C) MMR.py for visualizing the downloaded CSV data
DoWhy Library see: https://github.com/py-why/dowhy



To select or deselect all, double-click on the legend. To select a single legend, click on it once


Download interactive html 1999-2023
Years for each country the dowhy estimation is based on

Interpretation of Causal Effect Estimation:

The causal effect estimation gives a numerical value indicating how much the outcome (reported cases) changes when the treatment (coverage) changes by one unit.

Positive causal effect (e.g. 0.5): For each 1% increase in coverage, reported cases expected to increase by 0.5/1M cases.
Negative causal effect (e.g. -0.5): For each 1% increase in vaccination coverage, reported cases are expected to decrease by 0.5/1M cases.
Warning: the results were not checked for confounding factors or lack of causality neither methodological errors


Vax coverage vs confirmed reported case incidence rate for different european countries, MMR-containing vac max(1st or 2nd Dose)

Phyton script A) MMR.py for visualizing the downloaded CSV data

To select or deselect all countries, double-click on the legend. To select a single country, click on it once


Download interactive html 1999-2024



Vax coverage vs confirmed reported cases /1M for differnt countries including trend line categories , M-containing vac max(1st or 2nd Dose) 1999-2024:

Rising Coverage and Rising Cases:
Falling Coverage and Falling Cases:
Rising Coverage and Falling Cases:
Falling Coverage and Rising Cases:

Phyton script B) MMR.py for visualizing the downloaded CSV data with trend lines

Rising Coverage and Rising Cases:

Download interactive html 1999-2023


Falling Coverage and Falling Cases:

Download interactive html 1999-2024


Rising Coverage and Falling Cases:

Download interactive html 1999-2024


Falling Coverage and Rising Cases:

Download interactive html 1999-2024



Vax coverage vs confirmed reported cases /1M for differnt EU countries,
MMR-containing vac max(1st or 2nd Dose) for years 1999-2024:

.

Includes Dropdown menu for easy selection:

Download interactive html 1999-2024


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