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- Volume 29, Issue 49, 05/Dec/2024
Eurosurveillance - Volume 29, Issue 49, 05 December 2024
Volume 29, Issue 49, 2024
- Rapid communication
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Macrolide-resistant Bordetella pertussis strain identified during an ongoing epidemic, Finland, January to October 2024
Since April 2024, a pertussis epidemic has been ongoing in Finland with 2,215 notified cases by end October. Of them, 30.1% (n = 667) were aged 10–14 years. Of the 462 Bordetella pertussis isolates characterised, one was macrolide-resistant (minimum inhibitory concentration (MIC) of erythromycin, azithromycin and clarithromycin > 256 μg/mL). The resistant isolate was serotype FIM2, vaccine antigen pertactin-deficient and harboured ptxP3 allele. The emergence of macrolide-resistant B. pertussis in Europe is worrisome and its rapid identification is important.
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- Outbreaks
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Persistence of OXA-48-producing ST-22 Citrobacter freundii in patients and the hospital environment, Paris, France, 2016 to 2022
In 2016–2019, hospital A’s haematology ward experienced an outbreak of OXA-48-producing ST-22 Citrobacter freundii strains, with toilets identified as source of transmission. Between 2020 and 2022, 28 strains of OXA-48-producing ST-22 C. freundii were isolated on other wards. This study aimed to determine whether all OXA-48-producing ST-22 C. freundii strains belonged to the same clone and to investigate the persistence of this clone using whole genome sequencing. OXA-48-producing ST-22 C. freundii strains collected from patients (n = 33) and from the hospital environment (n = 20) of seven wards were sequenced using Illumina technology and clonal relationships were determined using single nucleotide polymorphism (SNP). Phylogenetic analyses were performed on 53 strains from hospital A and on 240 epidemiologically unrelated carbapenem-resistant ST-22 C. freundii isolated from elsewhere in France. SNP analysis suggested long-lasting persistence of the same clone for more than 6 years. Phylogenetic analysis showed that 52 of 53 strains isolated in hospital A belonged to the same cluster and were different from the 240 epidemiologically unrelated C. freundii ST-22. Our data suggest that this clone can persist in hospital environments for years, representing a risk for hospital-acquired infections and outbreaks. Reservoir management is essential to prevent further transmission.
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- Systematic Review
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Reasons for difficulties in isolating the causative organism during food-borne outbreak investigations using STEC as a model pathogen: a systematic review, 2000 to 2019
IntroductionFood-borne disease outbreak investigations use epidemiological, microbiological and food chain evidence to identify the implicated food and inform risk management actions.
AimsWe used Shiga toxin-producing Escherichia coli (STEC) as a model pathogen to investigate the success of outbreak strain isolation from food or environmental samples during outbreak investigations, and examined the factors influencing the chance of isolation.
MethodsWe searched for reports of food-borne STEC outbreak investigations worldwide in peer-reviewed and grey literature in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
ResultsWe found a total of 223 outbreaks suitable for inclusion. Food and/or environmental samples were available for testing in 137 investigations, and the outbreak strain was isolated in 94 (42%) of investigations. We found no significant effect of STEC serovar or size of outbreak on likelihood of successful outbreak strain isolation. Isolation success ranged across different implicated commodities from 86% for beef-related outbreaks to 50% for salads and leafy greens. In 20% of outbreaks with samples available for testing, an additional STEC strain was isolated alongside the outbreak strain and in 6.6%, only an alternative STEC strain was isolated. Risk management action was taken on epidemiological evidence alone in 21 incidents.
ConclusionThe principal reasons why the outbreak strain was not isolated were lack of sample availability and methodological issues concerned with laboratory isolation. We recommend strategies that could improve the likelihood of isolation including the rapid collection of samples based on epidemiological intelligence.
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- Perspective
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Cross-sectoral genomic surveillance reveals a lack of insight in sources of human infections with Shiga toxin-producing Escherichia coli, the Netherlands, 2017 to 2023
Shiga toxin-producing Escherichia coli (STEC) is a zoonotic pathogen associated with illness ranging from mild diarrhoea to haemolytic uremic syndrome (HUS) or even death. Cross-sectoral data sharing provides an opportunity to gain insight in reservoirs and sources of human infections and starting points for pro-active measures. Nevertheless, phylogenetic clustering of STEC strains from animals, food and human cases is low in the Dutch surveillance system. This is partly due to the substantial contribution of international travel and person-to-person spread in the STEC epidemiology. Furthermore, some STEC strains causing disease in humans may have a human reservoir. Although the main reservoirs and sources are included in the Dutch monitoring programmes, some animals and food products may be under-recognised as potential sources of human infections. More effort in investigating the role of other reservoirs beyond the well-known can provide a better understanding on STEC ecology in general, improving surveillance and source attribution, and ultimately provide better guidance for monitoring and source finding. This also implies having good diagnostics in place and isolates available for typing. Therefore, on the human side of the surveillance, the decision has been made to start isolating STEC at national level.
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- Letter
- Author's correction
- Miscellaneous
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Volumes & issues
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Volume 29 (2024)
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Volume 28 (2023)
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Volume 27 (2022)
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Volume 26 (2021)
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Volume 25 (2020)
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Volume 24 (2019)
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Volume 23 (2018)
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Volume 22 (2017)
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Volume 21 (2016)
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Volume 20 (2015)
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Volume 19 (2014)
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Volume 18 (2013)
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Volume 17 (2012)
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Volume 16 (2011)
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Volume 15 (2010)
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Volume 14 (2009)
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Volume 13 (2008)
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Volume 12 (2007)
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Volume 11 (2006)
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Volume 10 (2005)
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Volume 9 (2004)
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Volume 8 (2003)
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Volume 7 (2002)
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Volume 6 (2001)
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Volume 5 (2000)
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Volume 4 (1999)
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Volume 3 (1998)
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Volume 2 (1997)
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Volume 1 (1996)
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Volume 0 (1995)
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Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR
Victor M Corman , Olfert Landt , Marco Kaiser , Richard Molenkamp , Adam Meijer , Daniel KW Chu , Tobias Bleicker , Sebastian Brünink , Julia Schneider , Marie Luisa Schmidt , Daphne GJC Mulders , Bart L Haagmans , Bas van der Veer , Sharon van den Brink , Lisa Wijsman , Gabriel Goderski , Jean-Louis Romette , Joanna Ellis , Maria Zambon , Malik Peiris , Herman Goossens , Chantal Reusken , Marion PG Koopmans and Christian Drosten
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