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The Evolution of Antibiotic Resistance in Europe, 1998-2019

<p>These data present antibiotic resistance and antibiotic consumption trends in Europe over two decades. The data on the antimicrobial resistance rates are released by the European Surveillance System - TESSy, provided by Finland, Sweden, Belgium, Germany, Greece, Ireland, Italy, Luxembourg, Netherlands, Norway, Portugal, United Kingdom, Austria, Bulgaria, Czech Republic, Denmark, Estonia, Spain, Malta, Slovenia, France, Croatia, Hungary, Poland, Slovakia, Romania, Cyprus, Latvia, Lithuania and released by the European Centre for Disease Prevention and Control (ECDC). The AMR data cover the years 1998-2019.</p> <p>&nbsp;</p> <p>Fields in summary_AMC_byclass.csv:</p> <p>class: ATC code of antibiotic class</p> <p>Country: country</p> <p>Year: year</p> <p>Sector: Community or Hospital</p> <p>Antimicrobial.Type: mode of consumption</p> <p>DDD: defined daily dose per 1000 inhabitant</p> <p>combC: combination of factors for data manipulation purpose</p> <p>Antibiotic_class: same as class</p> <p>&nbsp;</p> <p>Fields in summary_AMR_filtered.csv:</p> <p>Year: year</p> <p>Country: country</p> <p>Pathogen: bacterial species</p> <p>Antibiotic: antibiotic resistance tested</p> <p>patientType: INPAT for inpatient</p> <p>N_S: number of sensitive strains</p> <p>test: combination of factors for data manipulation purpose</p> <p>N_tested: number of strains tested</p> <p>N: total number of strains</p> <p>p: fraction resistant or intermediate</p> <p>ci_span: width of the binomial 95% confidence interval</p> <p>p_min: 2.5% confidence interval</p> <p>p_max: 97.5% confidence interval</p> <p>Antibiotic_long: long name of the antibiotic</p> <p>Antibiotic_class: antibiotic class</p> <p>Pathogen_long: long name of the bacterial species</p> <p>combR: combination of factors for data manipulation purpose</p> <p>N_I_R: number of intermediate and resistant strains</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

ShareScore

28/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
12
Reuse readiness
8
Engagement
0