Skip to Main content Skip to Navigation
Journal articles

Real-Time Microbiology Laboratory Surveillance System to Detect Abnormal Events and Emerging Infections, Marseille, France

Abstract : Infectious diseases are a major threat to humanity, and accurate surveillance is essential. We describe how to implement a laboratory data–based surveillance system in a clinical microbiology laboratory. Two historical Microsoft Excel databases were implemented. The data were then sorted and used to execute the following 2 surveillance systems in Excel: the Bacterial real-time Laboratory-based Surveillance System (BALYSES) for monitoring the number of patients infected with bacterial species isolated at least once in our laboratory during the study periodl and the Marseille Antibiotic Resistance Surveillance System (MARSS), which surveys the primary β-lactam resistance phenotypes for 15 selected bacterial species. The first historical database contained 174,853 identifications of bacteria, and the second contained 12,062 results of antibiotic susceptibility testing. From May 21, 2013, through June 4, 2014, BALYSES and MARSS enabled the detection of 52 abnormal events for 24 bacterial species, leading to 19 official reports. This system is currently being refined and improved.
Document type :
Journal articles
Complete list of metadata

Cited literature [27 references]  Display  Hide  Download

https://hal-amu.archives-ouvertes.fr/hal-01199455
Contributor : Administrateur Hal Amu Connect in order to contact the contributor
Submitted on : Tuesday, September 15, 2015 - 2:25:09 PM
Last modification on : Tuesday, November 30, 2021 - 8:50:01 AM
Long-term archiving on: : Tuesday, December 29, 2015 - 7:14:27 AM

File

ptpmcrender.pdf
Publisher files allowed on an open archive

Identifiers

Collections

Citation

Cédric Abat, Hervé Chaudet, Philippe Colson, Jean-Marc Rolain, Didier Raoult. Real-Time Microbiology Laboratory Surveillance System to Detect Abnormal Events and Emerging Infections, Marseille, France. Emerging Infectious Diseases, Centers for Disease Control and Prevention, 2015, pp.1302-1310. ⟨10.3201/eid2108.141419⟩. ⟨hal-01199455⟩

Share

Metrics

Record views

329

Files downloads

335