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- Volume 25, Issue 23, 11/Jun/2020
Eurosurveillance - Volume 25, Issue 23, 11 June 2020
Volume 25, Issue 23, 2020
- Rapid communication
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SARS-CoV-2 infection in farmed minks, the Netherlands, April and May 2020
Nadia Oreshkova , Robert Jan Molenaar , Sandra Vreman , Frank Harders , Bas B Oude Munnink , Renate W Hakze-van der Honing , Nora Gerhards , Paulien Tolsma , Ruth Bouwstra , Reina S Sikkema , Mirriam GJ Tacken , Myrna MT de Rooij , Eefke Weesendorp , Marc Y Engelsma , Christianne JM Bruschke , Lidwien AM Smit , Marion Koopmans , Wim HM van der Poel and Arjan StegemanRespiratory disease and increased mortality occurred in minks on two farms in the Netherlands, with interstitial pneumonia and SARS-CoV-2 RNA in organ and swab samples. On both farms, at least one worker had coronavirus disease-associated symptoms before the outbreak. Variations in mink-derived viral genomes showed between-mink transmission and no infection link between the farms. Inhalable dust contained viral RNA, indicating possible exposure of workers. One worker is assumed to have attracted the virus from mink.
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Meta-analysis of diagnostic performance of serological tests for SARS-CoV-2 antibodies up to 25 April 2020 and public health implications
We reviewed the diagnostic accuracy of SARS-CoV-2 serological tests. Random-effects models yielded a summary sensitivity of 82% for IgM, and 85% for IgG and total antibodies. For specificity, the pooled estimate were 98% for IgM and 99% for IgG and total antibodies. In populations with ≤ 5% of seroconverted individuals, unless the assays have perfect (i.e. 100%) specificity, the positive predictive value would be ≤ 88%. Serological tests should be used for prevalence surveys only in hard-hit areas.
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Measuring the effectiveness of an automated text messaging active surveillance system for COVID-19 in the south of Ireland, March to April 2020
We report the effectiveness of automated text messaging for active surveillance of asymptomatic close contacts of coronavirus disease (COVID-19) cases in the Cork/Kerry region of Ireland. In the first 7 weeks of the COVID-19 outbreak, 1,336 close contacts received 12,421 automated texts. Overall, 120 contacts (9.0%) reported symptoms which required referral for testing and 35 (2.6%) tested positive for COVID-19. Non-response was high (n = 2,121; 17.1%) and this required substantial clinical and administrative resources for follow-up.
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- Research
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Utilising sigmoid models to predict the spread of antimicrobial resistance at the country level
BackgroundThe spread of antimicrobial resistance (AMR) is of worldwide concern. Public health policymakers and pharmaceutical companies pursuing antibiotic development require accurate predictions about the future spread of AMR.
AimWe aimed to identify and model temporal and geographical patterns of AMR spread and to predict future trends based on a slow, intermediate or rapid rise in resistance.
MethodsWe obtained data from five antibiotic resistance surveillance projects spanning the years 1997 to 2015. We aggregated the isolate-level or country-level data by country and year to produce country–bacterium–antibiotic class triads. We fitted both linear and sigmoid models to these triads and chose the one with the better fit. For triads that conformed to a sigmoid model, we classified AMR progression into one of three characterising paces: slow, intermediate or fast, based on the sigmoid slope. Within each pace category, average sigmoid models were calculated and validated.
ResultsWe constructed a database with 51,670 country–year–bacterium–antibiotic observations, grouped into 7,440 country–bacterium–antibiotic triads. A total of 1,037 triads (14%) met the inclusion criteria. Of these, 326 (31.4%) followed a sigmoid (logistic) pattern over time. Among 107 triads for which both sigmoid and linear models could be fit, the sigmoid model was a better fit in 84%. The sigmoid model deviated from observed data by a median of 6.5%; the degree of deviation was related to the pace of spread.
ConclusionWe present a novel method of describing and predicting the spread of antibiotic-resistant organisms.
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- Outbreaks
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Descriptive study of COVID-19 outbreak among passengers and crew on Diamond Princess cruise ship, Yokohama Port, Japan, 20 January to 9 February 2020
An outbreak of coronavirus disease (COVID-19) occurred on the Diamond Princess cruise ship making an international journey, which led to quarantine of the ship at Yokohama Port, Japan. A suspected COVID-19 case was defined as a passenger or crew member who developed a fever or respiratory symptoms, and a confirmed COVID-19 case had laboratory-confirmation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Between 3 and 9 February 2020, 490 individuals were tested for SARS-CoV-2 and 172 were positive (152 passengers (median age: 70 years; interquartile range (IQR): 64–75; males: 45%) and 20 crew (median age: 40 years; IQR: 35–48.5; males: 80%). Other than the Hong Kong-related index case, symptom onset for the earliest confirmed case was 22 January, 2 days after the cruise ship left port. Attack rates among passengers were similar across the decks, while beverage (3.3%, 2/61) and food service staff (5.7%, 14/245) were most affected. Attack rates tended to increase with age. A comprehensive outbreak response was implemented, including surveillance, provision of essential medical care, food and medicine delivery, isolation, infection prevention and control, sampling and disembarkation.
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- Letter
- 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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