Antimicrobial Resistance. Using logistic regression (in RStudios) to investigate variation in the trends for E.coli resistance (to three major antibiotic classes) in European countries
Introduction:
What is antimicrobial resistance? why it is a problem for humans and animal health (one health)? Why E.coli was chosen (as it a hugley common zoonotic pathogen)? why resistance to all 3 antimicrobials is being looked at?
Method:
Gathered the data from https://www.ecdc.europa.eu/en/surveillance-atlas-infectious-diseases. The method should also specify where the ECDC was able to obtain this surveillance data.
Results:
Have a written script to be used in RStudios.
The script runs fins, gives P values, and Plots the Graphs, so the hard work for the results is done. It just needs writing up.
Discussion:
The main points to hit for the discussion is obviously to reiterate the main findings and objectives. What was found for each of the countries, not all the countries have significant P values so can be ignored.
Why this is important, potential limitations, maybe speculate why the results are as they are, and what more can be done preferably from a one health point of view.
