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Validity and timeliness of syndromic influenza surveillance during the autumn/winter wave of A (H1N1) influenza 2009

Results of emergency medical dispatch, ambulance and emergency department data from three European regions

Bibliographic Data

ID15366368
AuthorsNicole Rosenkötter (0000-0001-9016-0910, Maastricht University, corresponding author), Alexandra Ziemann (0000-0002-5996-8484, Maastricht University), Luis Garcia-Castrillo Riesgo (Universidad de Cantabria), Jean Bernard Gillet (KU Leuven), Gernot Vergeiner (University College of Teacher Education Tyrol), Thomas Krafft (0000-0002-6164-7815, Maastricht University), Howard Brand (0000-0002-2755-0673, Maastricht University), Helmut Brand
Year2013
Volume13
Issue1
Pages905-905
Publication date2013-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/1471-2458-13-905
PMID24083852
PMCIDPMC3852468
OpenAlexW2084309487
LanguageEN
Citations received2
References cited30

In this study ED data exhibited the most favourable performance in terms of validity and timeliness for syndromic influenza surveillance, along with EP data for large catchment areas. For the other data sources performance assessment delivered no clear results. The study shows that routinely collected data from EMS providers can augment and enhance public health surveillance of influenza by providing information during health crises in which such information must be both timely and readily obtainable

Biostatistics · Coronavirus disease 2019 (COVID-19 · Emergency department · Environmental health · Medical emergency · Pandemic · Data-Driven Disease Surveillance · Emergency and Acute Care Studies · Influenza Virus Research Studies · Medicine · Nursing · Emergency Medicine · Epidemiology · Internal Medicine

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Unique citing works2
Citations per year0,18
Citation span2015 - 2019 (5)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

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