GrippeAllemagneV3, Main, Exploration, bibRecord, 000192

[Hospital surveillance during major outbreaks of community-acquired diseases. Pandemic Influenza Hospital Surveillance (PIKS) 2009/2010 and Surveillance of Bloody Diarrhea (SBD) 2011].

Identifieur interne : 000192 ( Main/Exploration ); précédent : 000191; suivant : 000193

[Hospital surveillance during major outbreaks of community-acquired diseases. Pandemic Influenza Hospital Surveillance (PIKS) 2009/2010 and Surveillance of Bloody Diarrhea (SBD) 2011].

Auteurs : B. Greutélaers [Allemagne] ; M. Wadl ; M. Nachtnebel ; T. Rieck ; B. Hogan ; C. Adlhoch ; T. Eckmanns ; J. Benzler

Source :

Deutsche medizinische Wochenschrift (1946) [ 1439-4413 ] ; 2013.

RBID : pubmed:23512362

Descripteurs français

English descriptors

KwdEn :
- Centers for Disease Control and Prevention, U.S., Community-Acquired Infections (epidemiology), Community-Acquired Infections (transmission), Cross Infection (epidemiology), Cross Infection (prevention & control), Cross Infection (transmission), Cross-Sectional Studies, Data Collection, Disease Notification (statistics & numerical data), Disease Outbreaks (prevention & control), Disease Outbreaks (statistics & numerical data), Dysentery (epidemiology), Dysentery (etiology), Dysentery (prevention & control), Emergency Service, Hospital (statistics & numerical data), Enterohemorrhagic Escherichia coli, Germany, Hemolytic-Uremic Syndrome (epidemiology), Hemolytic-Uremic Syndrome (etiology), Hemolytic-Uremic Syndrome (prevention & control), Hospital Information Systems, Humans, Influenza, Human (epidemiology), Influenza, Human (prevention & control), Influenza, Human (transmission), Intensive Care Units (statistics & numerical data), Internet, Patient Admission (statistics & numerical data), Population Surveillance (methods), Software Design, United States.
MESH :
- geographic : Germany, United States.
- epidemiology : Community-Acquired Infections, Cross Infection, Dysentery, Hemolytic-Uremic Syndrome, Influenza, Human.
- etiology : Dysentery, Hemolytic-Uremic Syndrome.
- methods : Population Surveillance.
- prevention & control : Cross Infection, Disease Outbreaks, Dysentery, Hemolytic-Uremic Syndrome, Influenza, Human.
- statistics & numerical data : Disease Notification, Disease Outbreaks, Emergency Service, Hospital, Intensive Care Units, Patient Admission.
- transmission : Community-Acquired Infections, Cross Infection, Influenza, Human.
- Centers for Disease Control and Prevention, U.S., Cross-Sectional Studies, Data Collection, Enterohemorrhagic Escherichia coli, Hospital Information Systems, Humans, Internet, Software Design.

Abstract

BACKGROUND AND OBJECTIVE

During the influenza pandemic 2009/2010 and the outbreak of entero-haemorrhagic Escherichia coli (EHEC)/hemolytic-uremic syndrome (HUS) 2011, the statutory reporting system in Germany was complemented by additional event-related surveillance systems in hospitals. The Pandemic Influenza Hospital Surveillance (PIKS) and the Surveillance of Bloody Diarrhea (SBD) were evaluated, to make experiences available for similar future situations.

METHODS

The description and evaluation of our surveillance systems is based on the "Updated Guidelines for Evaluating Public Health Surveillance Systems" published by the U.S. Centers for Disease Control and Prevention in 2001.

RESULTS

PIKS and SBD could be implemented quickly and were able to capture resilient data in a timely manner both on the severity and course of the influenza pandemic 2009/2010 and the outbreak of EHEC and HUS 2011. Although lacking in representativeness, sensitive and useful data were generated.

CONCLUSION

In large outbreaks of severe diseases, the establishment of specific hospital surveillance should be considered as early as possible. In Germany, the participating hospitals were able to rapidly implement the required measures.

DOI: 10.1055/s-0032-1332962
PubMed: 23512362

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 000200
to stream Main, to step Curation: 000200

Le document en format XML

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<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND AND OBJECTIVE</b>
</p>
<p>During the influenza pandemic 2009/2010 and the outbreak of entero-haemorrhagic Escherichia coli (EHEC)/hemolytic-uremic syndrome (HUS) 2011, the statutory reporting system in Germany was complemented by additional event-related surveillance systems in hospitals. The Pandemic Influenza Hospital Surveillance (PIKS) and the Surveillance of Bloody Diarrhea (SBD) were evaluated, to make experiences available for similar future situations.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>The description and evaluation of our surveillance systems is based on the "Updated Guidelines for Evaluating Public Health Surveillance Systems" published by the U.S. Centers for Disease Control and Prevention in 2001.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>PIKS and SBD could be implemented quickly and were able to capture resilient data in a timely manner both on the severity and course of the influenza pandemic 2009/2010 and the outbreak of EHEC and HUS 2011. Although lacking in representativeness, sensitive and useful data were generated.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSION</b>
</p>
<p>In large outbreaks of severe diseases, the establishment of specific hospital surveillance should be considered as early as possible. In Germany, the participating hospitals were able to rapidly implement the required measures.</p>
</div>
</front>
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<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">23512362</ArticleId>
<ArticleId IdType="doi">10.1055/s-0032-1332962</ArticleId>
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<affiliations><list><country><li>Allemagne</li>
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<region><li>Berlin</li>
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<settlement><li>Berlin</li>
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<tree><noCountry><name sortKey="Adlhoch, C" sort="Adlhoch, C" uniqKey="Adlhoch C" first="C" last="Adlhoch">C. Adlhoch</name>
<name sortKey="Benzler, J" sort="Benzler, J" uniqKey="Benzler J" first="J" last="Benzler">J. Benzler</name>
<name sortKey="Eckmanns, T" sort="Eckmanns, T" uniqKey="Eckmanns T" first="T" last="Eckmanns">T. Eckmanns</name>
<name sortKey="Hogan, B" sort="Hogan, B" uniqKey="Hogan B" first="B" last="Hogan">B. Hogan</name>
<name sortKey="Nachtnebel, M" sort="Nachtnebel, M" uniqKey="Nachtnebel M" first="M" last="Nachtnebel">M. Nachtnebel</name>
<name sortKey="Rieck, T" sort="Rieck, T" uniqKey="Rieck T" first="T" last="Rieck">T. Rieck</name>
<name sortKey="Wadl, M" sort="Wadl, M" uniqKey="Wadl M" first="M" last="Wadl">M. Wadl</name>
</noCountry>
<country name="Allemagne"><region name="Berlin"><name sortKey="Greutelaers, B" sort="Greutelaers, B" uniqKey="Greutelaers B" first="B" last="Greutélaers">B. Greutélaers</name>
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   |texte=   [Hospital surveillance during major outbreaks of community-acquired diseases. Pandemic Influenza Hospital Surveillance (PIKS) 2009/2010 and Surveillance of Bloody Diarrhea (SBD) 2011].
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[Hospital surveillance during major outbreaks of community-acquired diseases. Pandemic Influenza Hospital Surveillance (PIKS) 2009/2010 and Surveillance of Bloody Diarrhea (SBD) 2011].

[Hospital surveillance during major outbreaks of community-acquired diseases. Pandemic Influenza Hospital Surveillance (PIKS) 2009/2010 and Surveillance of Bloody Diarrhea (SBD) 2011].

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