Related Experiment Video
Updated: Jun 2, 2026

Enhanced Extraction of Low-Molecular Weight DNA from Wastewater for Comprehensive Assessment of Antimicrobial Resistance
Published on: July 19, 2024
A comparison of antibiotic resistance reports in pharmacovigilance databases and conventional surveillance across
Joseph Mitchell1,2, Manju Purohit1,3, Pinelopi Lundquist2
1Department of Global Public Health, Health Systems and Policy: Improving Use of Medicines, Karolinska Institutet, Stockholm, Sweden.
Introduction:
Pharmacovigilance has been highlighted as a potential additional source of information to supplement conventional antibiotic resistance surveillance. However, it is not known how well the potential cases of antibiotic resistance identified in pharmacovigilance databases replicate those captured in traditional surveillance, either in human medicine or across "One Health."
Methods:
Cases of antibiotic resistance captured by traditional surveillance were taken from publicly available data for both humans and animals. The data sources used were the WHO Global Antibiotic Resistance and Use Surveillance System (GLASS), and the joint European Food Safety Authority (EFSA) and European Centre for Disease Prevention and Control (ECDC) report, respectively, for humans and animals. Pharmacovigilance data were taken from VigiBase, the WHO global database of adverse event reports, for humans, and from EudraVigilance Veterinary for animals. Potential antibiotic resistance cases were identified using previously reviewed search criteria. No suitable data sources were identified for environmental health. Data were grouped by Anatomical Therapeutic Chemical (ATC) class to the third level and by continent (only Europe was used for animals). Likelihood ratio tests of logistic regression models with and without an interaction between the ATC class and database were then used to compare the reported antibiotic distribution.
Results:
For VigiBase, there were 26,086 reports from 91 countries identified. There was a consistent statistically significant difference between the distribution of cases for at least one ATC third-level grouping. The search of EudraVigilance Veterinary identified 1,010 cases from 18 countries. Again, there was a consistent, statistically significant difference between the distribution of the cases for at least one ATC third-level grouping compared with EFSA/ECDC data.
Discussion:
There was more complete surveillance for humans compared to animals, with the study restricted to Europe only for animals but conducted globally for humans based on the availability of data. The absence of an appropriate data source for environmental health further highlights the need to improve surveillance in environmental health. The statistically significant differences between the antibiotic distribution should be investigated further, as this could improve the understanding of the relative strengths and weaknesses of pharmacovigilance databases as a potential supplementary tool.
Related Concept Videos
Clinical Significance of Antibiotic Resistance
Pharmacovigilance
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
Development of Antibiotic Resistance
Antimicrobial Effectiveness
Principles of Disease Surveillance
Antibiotic Selection
