2011
DOI: 10.3201/eid1710.111027
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Timeliness of Surveillance during Outbreak of Shiga Toxin–producingEscherichia coliInfection, Germany, 2011

Abstract: In the context of a large outbreak of Shiga toxin–producing Escherichia coli O104:H4 in Germany, we quantified the timeliness of the German surveillance system for hemolytic uremic syndrome and Shiga toxin–producing E. coli notifiable diseases during 2003–2011. Although reporting occurred faster than required by law, potential for improvement exists at all levels of the information chain.

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Cited by 41 publications
(21 citation statements)
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References 8 publications
(7 reference statements)
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“…Previous timeliness studies have been conducted for a number of countries and reportable diseases, including salmonellosis, but no standardised method has been established [1,7,[9][10][11]. The impact of individual factors, such as reporting method (paper or electronic), has been studied [12,13]; however, the effect of multiple factors, including those related to the structure of the surveillance system (primary laboratory type and location) or to the disease in question (seasonality, serotype), has not been explored.…”
Section: Introductionmentioning
confidence: 99%
“…Previous timeliness studies have been conducted for a number of countries and reportable diseases, including salmonellosis, but no standardised method has been established [1,7,[9][10][11]. The impact of individual factors, such as reporting method (paper or electronic), has been studied [12,13]; however, the effect of multiple factors, including those related to the structure of the surveillance system (primary laboratory type and location) or to the disease in question (seasonality, serotype), has not been explored.…”
Section: Introductionmentioning
confidence: 99%
“…Epidemiological and surveillance studies were conducted at the same time by German federal institutions to identify the origin of infection. These studies led to the hypothesis that contaminated vegetables like cucumbers or tomatoes might be involved in spreading of the human pathogenic bacterium [3-5]. Press coverage also hypothesized that digestates from agricultural biogas reactors could have been a source causing these infections.…”
Section: Introductionmentioning
confidence: 99%
“…Local intelligence in the form of professionals reporting on events, e.g., in schools, or health care institutions, are the cornerstone of detecting the onset of events at the local level, as shown for example, during the 2009 A/H1N1 pandemic [ 8 , 9 ]. Still, there is a risk to overlook patterns that might be detected only when taking a wider perspective beyond the patients treated by one clinician or in one institution [ 10 , 11 ]. Surveillance systems that pool information from multiple institutions or jurisdictions can potentially detect events that are not represented in the data of any single region or institution.…”
Section: Introductionmentioning
confidence: 99%