On the Potential of Relational Databases for the Detection of Clusters of Infection and Antibiotic Resistance Patterns

• Hoofdauteurs: Michela Gelfusa (Auteur), Andrea Murari (Auteur), Gian Marco Ludovici (Auteur), Cristiano Franchi (Auteur), Claudio Gelfusa (Auteur), Andrea Malizia (Auteur), Pasqualino Gaudio (Auteur), Giovanni Farinelli (Auteur), Giacinto Panella (Auteur), Carla Gargiulo (Auteur), Katia Casinelli (Auteur)
• Formaat: Boek
• Gepubliceerd in: MDPI AG, 2023-04-01T00:00:00Z.
• Onderwerpen: article
• Online toegang: Connect to this object online.

In recent years, several bacterial strains have acquired significant antibiotic resistance and can, therefore, become difficult to contain. To counteract such trends, relational databases can be a powerful tool for supporting the decision-making process. The case of <i>Klebsiella pneumoniae<...