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2014-05-29Zeitschriftenartikel DOI: 10.1371/journal.pone.0098100
Results from the First 12 Months of the National Surveillance of Healthcare Associated Outbreaks in Germany, 2011/2012
dc.contributor.authorHaller, Sebastian
dc.contributor.authorEckmanns, Tim
dc.contributor.authorBenzler, Justus
dc.contributor.authorTolksdorf, Kristin
dc.contributor.authorClaus, Hermann
dc.contributor.authorGilsdorf, Andreas
dc.contributor.authorSin, Muna Abu
dc.date.accessioned2018-05-07T17:41:59Z
dc.date.available2018-05-07T17:41:59Z
dc.date.created2014-06-11
dc.date.issued2014-05-29none
dc.identifier.otherhttp://edoc.rki.de/oa/articles/reebkTJwO946/PDF/24FYikFQbk9ho.pdf
dc.identifier.urihttp://edoc.rki.de/176904/1886
dc.description.abstractBackground: In August 2011, the German Protection against Infection Act was amended, mandating the reporting of healthcare associated infection (HAI) outbreak notifications by all healthcare workers in Germany via local public health authorities and federal states to the Robert Koch Institute (RKI). Objective: To describe the reported HAI-outbreaks and the surveillance system’s structure and capabilities. Methods: Information on each outbreak was collected using standard paper forms and notified to RKI. Notifications were screened daily and regularly analysed. Results: Between November 2011 and November 2012, 1,326 paper forms notified 578 HAI-outbreaks, between 7 and 116 outbreaks per month. The main causative agent was norovirus (n = 414/578; 72%). Among the 108 outbreaks caused by bacteria, the most frequent pathogens were Clostridium difficile (25%) Klebsiella spp. (19%) and Staphylococcus spp. (19%). Multidrug-resistant bacteria were responsible for 54/108 (50%) bacterial outbreaks. Hospitals were affected most frequently (485/578; 84%). Hospital outbreaks due to bacteria were mostly reported from intensive care units (ICUs) (45%), followed by internal medicine wards (16%). Conclusion: The mandatory HAI-outbreak surveillance system describes common outbreaks. Pathogens with a particular high potential to cause large or severe outbreaks may be identified, enabling us to further focus research and preventive measures. Increasing the sensitivity and reliability of the data collection further will facilitate identification of outbreaks able to increase in size and severity, and guide specific control measures to interrupt their propagation.eng
dc.language.isoeng
dc.publisherRobert Koch-Institut, Infektionsepidemiologie
dc.subjectHumanseng
dc.subjectGermany/epidemiologyeng
dc.subjectTime Factorseng
dc.subjectPopulation Surveillanceeng
dc.subjectSeasonseng
dc.subjectCross Infection/microbiologyeng
dc.subjectDisease Outbreaks/historyeng
dc.subjectHistory 21st Centuryeng
dc.subjectCross Infection/epidemiologyeng
dc.subjectCommunicable Disease Control/legislation & jurisprudenceeng
dc.subjectCross Infection/historyeng
dc.subjectDisease Notification/historyeng
dc.subjectDisease Notification/legislation & jurisprudenceeng
dc.subjectMandatory Reporting*/historyeng
dc.subject.ddc610 Medizin
dc.titleResults from the First 12 Months of the National Surveillance of Healthcare Associated Outbreaks in Germany, 2011/2012
dc.typeperiodicalPart
dc.identifier.urnurn:nbn:de:0257-10036504
dc.identifier.doi10.1371/journal.pone.0098100
dc.identifier.doihttp://dx.doi.org/10.25646/1811
local.edoc.container-titlePLoS ONE
local.edoc.container-textHaller S, Eckmanns T, Benzler J, Tolksdorf K, Claus H, et al. (2014) Results from the First 12 Months of the National Surveillance of Healthcare Associated Outbreaks in Germany, 2011/2012. PLoS ONE 9(5): e98100.
local.edoc.fp-subtypeArtikel
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-urlhttp://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0098100
local.edoc.container-publisher-namePublic Library of Science
local.edoc.container-volume9
local.edoc.container-issue5
local.edoc.container-year2014

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