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

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

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<...

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Bibliographic Details
Main Authors: Michela Gelfusa, Andrea Murari, Gian Marco Ludovici, Cristiano Franchi, Claudio Gelfusa, Andrea Malizia, Pasqualino Gaudio, Giovanni Farinelli, Giacinto Panella, Carla Gargiulo, Katia Casinelli
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Antibiotics
Subjects:
decision support system
infectious diseases
hotspot
relational databases
<i>Klebsiella</i>
nosocomial diseases
Online Access:https://www.mdpi.com/2079-6382/12/4/784

Internet

https://www.mdpi.com/2079-6382/12/4/784

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