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Abstract

Background

The COVID-19 pandemic expanded the need for timely information on acute respiratory illness at population level.

Aim

We explored the potential of routine emergency department data for syndromic surveillance of acute respiratory illness in Germany.

Methods

We used routine attendance data from emergency departments, which continuously transferred data between week 10 2017 and 10 2021, with ICD-10 codes available for > 75% of attendances. Case definitions for acute respiratory infection (ARI), severe acute respiratory infection (SARI), influenza-like illness (ILI), respiratory syncytial virus infection (RSV) and COVID-19 were based on a combination of ICD-10 codes, and/or chief complaints, sometimes combined with information on hospitalisation and age.

Results

We included 1,372,958 attendances from eight emergency departments. The number of attendances dropped in March 2020 during the first COVID-19 pandemic wave, increased during summer, and declined again during the resurge of COVID-19 cases in autumn and winter of 2020/21. A pattern of seasonality of respiratory infections could be observed. By using different case definitions (i.e. for ARI, SARI, ILI, RSV) both the annual influenza seasons in the years 2017–2020 and the dynamics of the COVID-19 pandemic in 2020/21 were apparent. The absence of the 2020/21 influenza season was visible, parallel to the resurge of COVID-19 cases. SARI among ARI cases peaked in April–May 2020 (17%) and November 2020–January 2021 (14%).

Conclusion

Syndromic surveillance using routine emergency department data can potentially be used to monitor the trends, timing, duration, magnitude and severity of illness caused by respiratory viruses, including both influenza viruses and SARS-CoV-2.

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This work is licensed under a Creative Commons Attribution 4.0 International License.
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2022-07-07
2024-11-21
http://instance.metastore.ingenta.com/content/10.2807/1560-7917.ES.2022.27.27.2100865
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Using routine emergency department data for syndromic surveillance of acute respiratory illness, Germany, week 10 2017 until week 10 2021
<p class="citation"> <span>Citation style for this article:</span> <span class="meta-value authors"> <a href="/search?value1=T.+Sonia+Boender&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Boender T. Sonia</a>, <a href="/search?value1=Wei+Cai&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Cai Wei</a>, <a href="/search?value1=Madlen+Schranz&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Schranz Madlen</a>, <a href="/search?value1=Theresa+Kocher&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Kocher Theresa</a>, <a href="/search?value1=Birte+Wagner&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Wagner Birte</a>, <a href="/search?value1=Alexander+Ullrich&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Ullrich Alexander</a>, <a href="/search?value1=Silke+Buda&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Buda Silke</a>, <a href="/search?value1=Rebecca+Z%C3%B6llner&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Zöllner Rebecca</a>, <a href="/search?value1=Felix+Greiner&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Greiner Felix</a>, <a href="/search?value1=Michaela+Diercke&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Diercke Michaela</a>, <a href="/search?value1=Linus+Grabenhenrich&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Grabenhenrich Linus</a></span>. Using routine emergency department data for syndromic surveillance of acute respiratory illness, Germany, week 10 2017 until week 10 2021. <a href="/content/ecdc">Euro Surveill.</a> 2022;27(27):pii=2100865. <a href="https://doi.org/10.2807/1560-7917.ES.2022.27.27.2100865" title="doi link" target="_blank">https://doi.org/10.2807/1560-7917.ES.2022.27.27.2100865</a> <span class="ES_Article_citation"> <span class="generated">Received</span>: 19 Aug 2021;&nbsp;&nbsp; <span class="generated">Accepted</span>: 05 Apr 2022 </span> </p>
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