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- Volume 17, Issue 38, 20/Sep/2012
Eurosurveillance - Volume 17, Issue 38, 20 September 2012
Volume 17, Issue 38, 2012
- Surveillance and outbreak reports
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Usefulness of the European Epidemic Intelligence Information System in the management of an outbreak of listeriosis, Belgium, 2011
M Yde , M Naranjo , W Mattheus , P Stragier , B Pochet , K Beulens , K De Schrijver , D Van den Branden , V Laisnez , W Flipse , A Leclercq , M Lecuit , K Dierick and S BertrandA cluster of time-linked cases and the identification of a clonal strain suggest the occurrence of an outbreak of listeriosis in Belgium in 2011, presumably due to the consumption of hard cheese made with pasteurised milk and produced by a Belgium manufacturer. The outbreak clone was identified as Listeria monocytogenes serovar 1/2a, sensitive to arsenic and cadmium and of multilocus sequence typing MLST-type 37. Food investigation of this outbreak was facilitated by the European Epidemic Intelligence Information System and data exchanged between French and Belgium listeriosis surveillance systems.
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Influenza-associated hospitalisations in Finland from 1996 to 2010: unexpected age-specific burden during the influenza A(H1N1)pdm09 pandemic from 2009 to 2010
A Jacks , J Ollgren , T Ziegler and O LyytikäinenTo assess the burden of influenza on the Finnish healthcare system, we analysed hospitalisations during 1996-2010 using the International Classification of Diseases codes potentially related to influenza and its complications from the national hospital discharge registry. To compare the influenza A(H1N1)pdm09 pandemic with previous influenza seasons in 1996-2009, we calculated hospitalisation rates by age- and diagnostic groups. We built a negative binomial regression model based on times series analysis to assess the impact of the pandemic. Influenza-associated hospitalisation rates were higher during the pandemic compared to pre-pandemic influenza seasons for 5-24 year-olds (incidence rate ratio (IRR): 1.52, 95% confidence interval (CI): 1.44-1.60) and 25-64 year-olds (IRR: 1.33, 95% CI: 1.29-1.36), but did not differ for persons aged ≥ 65 years (IRR: 0.98, 95% CI: 0.97-1.00). Hospitalisation rates exceeded the upper limit of the prediction line by 177% in 5-24 year-olds, 66% in 0-4 year-olds and 57% in 25-64 year-olds. During the influenza season of 2003/04, all age groups had higher-than-expected hospitalisation rates, whereas other seasonal peaks were only notable among persons aged ≥ 65 years. These age-specific differences in the hospital burden underscore the importance of the continuous surveillance of hospitalisations in order to evaluate immunisation priorities for seasonal influenza and pandemic preparedness including use of antiviral medication. .
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- Research articles
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What really happens to tuberculosis patients classified as lost to follow-up in West Yorkshire?
M Day , A Middlemiss , J Thorpe and E OkerekeTuberculosis (TB) patients who do not complete treatment pose a potential public health risk. In West Yorkshire, local clinicians suspected that this risk was overestimated by the national Enhanced Tuberculosis Surveillance system. We audited patients who failed to complete treatment and were categorised as lost-to-follow-up (LTFU) between 2004 and 2008, using a combination of hand searching existing records and obtaining additional information from clinicians. In the study period 2,031 TB cases with reported outcome were notified in West Yorkshire, 23% (n=474) did not complete treatment, and 199 (42%) of those were categorised as LTFU 12 months after notification. Of these 199, 49% (n=98) remained LTFU after the audit, 51% (n=101) were re-classified to the following categories: 24% (n=47) transferred abroad, 16% (n=31) recommenced and completed treatment, 6% (n=13) transferred to another clinic in the United Kingdom (UK), and 5% (n=10) died. These patients therefore no-longer posed a public health risk. Further training for clinicians to improve accuracy of outcome reporting has been initiated. Nationally, the collection of treatment outcome data needs to be strengthened and extending the follow-up for treatment outcome monitoring should be considered.
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- 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)
Most Read This Month
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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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