ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2017
Use of WHONET-SaTScan system for simulated real-time detection of antimicrobial resistance clusters in a hospital in Italy, 2012 to 2014.
Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Article
- Exploring the Utility of MALDI-TOF Mass Spectrometry and Antimicrobial Resistance in Hospital Outbreak Detection.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026Article
- How to utilize routine antimicrobial resistance surveillance data for local and national actions in an LMIC.JAC-antimicrobial resistance · 2025Review
- An openEHR based infection control system to support monitoring of nosocomial bacterial clusters and contacts.NPJ digital medicine · 2025Article
- The use of SatScan software to map spatiotemporal trends and detect disease clusters: a systematic review.Communications medicine · 2025Article
- Comparing automated surveillance systems for detection of pathogen-related clusters in healthcare settings.Antimicrobial resistance and infection control · 2024Article
- Prospective Spatiotemporal Cluster Detection Using SaTScan: Tutorial for Designing and Fine-Tuning a System to Detect Reportable Communicable Disease Outbreaks.JMIR public health and surveillance · 2024Article
- Enhanced automated detection of outbreaks of a rare antimicrobial-resistant bacterial species.PloS one · 2024Article
- Electronic information systems for One Health surveillance of antimicrobial resistance: a systematic scoping review.BMJ global health · 2022Article
- Genome Sequencing Identifies Previously Unrecognized Klebsiella pneumoniae Outbreaks in Neonatal Intensive Care Units in the Philippines.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Article
- Transformation of microbiology data into a standardised data representation using OpenEHR.Scientific reports · 2021Article
- Automated outbreak detection of hospital-associated pathogens: Value to infection prevention programs.Infection control and hospital epidemiology · 2020Article
- Prevalence, risk-factors, and antimicrobial susceptibility profile of methicillin-resistant Staphylococcus aureus (MRSA) obtained from nares of patients and staff of Sokoto state-owned hospitals in Nigeria.GMS hygiene and infection control · 2020Article
- A Feasible Laboratory-Strengthening Intervention Yielding a Sustainable Clinical Bacteriology Sector to Support Antimicrobial Stewardship in a Large Referral Hospital in Ethiopia.Frontiers in public health · 2020Article
- Automated detection of outbreaks of antimicrobial-resistant bacteria in Japan.The Journal of hospital infection · 2019Article
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5 authors.
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Abstract
Resistant pathogens infections cause in healthcare settings, higher patient mortality, longer hospitalisation times and higher costs for treatments. Strengthening and coordinating local, national and international surveillance systems is the cornerstone for the control of antimicrobial resistance (AMR). In this study, the WHONET-SaTScan software was applied in a hospital in Italy to identify potential outbreaks of AMR. Data from San Filippo Neri Hospital in Rome between 2012 and 2014 were extracted from the national surveillance system for antimicrobial resistance (AR-ISS) and analysed using the simulated prospective analysis for real-time cluster detection included in the WHONET-SaTScan software. Results were compared with the hospital infection prevention and control system. The WHONET-SaTScan identified 71 statistically significant clusters, some involving pathogens carrying multiple resistance phenotypes. Of these 71, three were also detected by the hospital system, while a further 15, detected by WHONET-SaTScan only, were considered of relevant importance and worth further investigation by the hospital infection control team. In this study, the WHONET-SaTScan system was applied for the first time to the surveillance of AMR in Italy as a tool to strengthen this surveillance to allow more timely intervention strategies both at local and national level, using data regularly collected by the Italian national surveillance system.
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