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Using routine emergency department data for syndromic surveillance of acute respiratory illness, Germany, week 10 2017 until week 10 2021

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Using routine emergency department data for syndromic surveillance of acute respiratory illness, Germany, week 10 2017 until week 10 2021. / Boender, T Sonia; Cai, Wei; Schranz, Madlen; Kocher, Theresa; Wagner, Birte; Ullrich, Alexander; Buda, Silke; Zöllner, Rebecca; Greiner, Felix; Diercke, Michaela; Grabenhenrich, Linus.

In: EUROSURVEILLANCE, Vol. 27, No. 27, 2100865, 07.2022.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Boender, TS, Cai, W, Schranz, M, Kocher, T, Wagner, B, Ullrich, A, Buda, S, Zöllner, R, Greiner, F, Diercke, M & Grabenhenrich, L 2022, 'Using routine emergency department data for syndromic surveillance of acute respiratory illness, Germany, week 10 2017 until week 10 2021', EUROSURVEILLANCE, vol. 27, no. 27, 2100865. https://doi.org/10.2807/1560-7917.ES.2022.27.27.2100865

APA

Boender, T. S., Cai, W., Schranz, M., Kocher, T., Wagner, B., Ullrich, A., Buda, S., Zöllner, R., Greiner, F., Diercke, M., & Grabenhenrich, L. (2022). Using routine emergency department data for syndromic surveillance of acute respiratory illness, Germany, week 10 2017 until week 10 2021. EUROSURVEILLANCE, 27(27), [2100865]. https://doi.org/10.2807/1560-7917.ES.2022.27.27.2100865

Vancouver

Boender TS, Cai W, Schranz M, Kocher T, Wagner B, Ullrich A et al. Using routine emergency department data for syndromic surveillance of acute respiratory illness, Germany, week 10 2017 until week 10 2021. EUROSURVEILLANCE. 2022 Jul;27(27). 2100865. https://doi.org/10.2807/1560-7917.ES.2022.27.27.2100865

Bibtex

@article{20b8242a0f704c3f8fc44171941e3f34,
title = "Using routine emergency department data for syndromic surveillance of acute respiratory illness, Germany, week 10 2017 until week 10 2021",
abstract = "BackgroundThe COVID-19 pandemic expanded the need for timely information on acute respiratory illness at population level.AimWe explored the potential of routine emergency department data for syndromic surveillance of acute respiratory illness in Germany.MethodsWe 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.ResultsWe 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%).ConclusionSyndromic 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.",
keywords = "COVID-19/epidemiology, Emergency Service, Hospital, Germany/epidemiology, Humans, Influenza, Human/epidemiology, Pandemics, Respiratory Syncytial Virus Infections/epidemiology, Respiratory Tract Infections/epidemiology, SARS-CoV-2, Seasons, Sentinel Surveillance, Virus Diseases/epidemiology",
author = "Boender, {T Sonia} and Wei Cai and Madlen Schranz and Theresa Kocher and Birte Wagner and Alexander Ullrich and Silke Buda and Rebecca Z{\"o}llner and Felix Greiner and Michaela Diercke and Linus Grabenhenrich",
year = "2022",
month = jul,
doi = "10.2807/1560-7917.ES.2022.27.27.2100865",
language = "English",
volume = "27",
journal = "EUROSURVEILLANCE",
issn = "1025-496X",
publisher = "Centre Europeen pour la Surveillance Epidemiologique du SIDA",
number = "27",

}

RIS

TY - JOUR

T1 - Using routine emergency department data for syndromic surveillance of acute respiratory illness, Germany, week 10 2017 until week 10 2021

AU - Boender, T Sonia

AU - Cai, Wei

AU - Schranz, Madlen

AU - Kocher, Theresa

AU - Wagner, Birte

AU - Ullrich, Alexander

AU - Buda, Silke

AU - Zöllner, Rebecca

AU - Greiner, Felix

AU - Diercke, Michaela

AU - Grabenhenrich, Linus

PY - 2022/7

Y1 - 2022/7

N2 - BackgroundThe COVID-19 pandemic expanded the need for timely information on acute respiratory illness at population level.AimWe explored the potential of routine emergency department data for syndromic surveillance of acute respiratory illness in Germany.MethodsWe 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.ResultsWe 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%).ConclusionSyndromic 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.

AB - BackgroundThe COVID-19 pandemic expanded the need for timely information on acute respiratory illness at population level.AimWe explored the potential of routine emergency department data for syndromic surveillance of acute respiratory illness in Germany.MethodsWe 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.ResultsWe 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%).ConclusionSyndromic 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.

KW - COVID-19/epidemiology

KW - Emergency Service, Hospital

KW - Germany/epidemiology

KW - Humans

KW - Influenza, Human/epidemiology

KW - Pandemics

KW - Respiratory Syncytial Virus Infections/epidemiology

KW - Respiratory Tract Infections/epidemiology

KW - SARS-CoV-2

KW - Seasons

KW - Sentinel Surveillance

KW - Virus Diseases/epidemiology

U2 - 10.2807/1560-7917.ES.2022.27.27.2100865

DO - 10.2807/1560-7917.ES.2022.27.27.2100865

M3 - SCORING: Journal article

C2 - 35801521

VL - 27

JO - EUROSURVEILLANCE

JF - EUROSURVEILLANCE

SN - 1025-496X

IS - 27

M1 - 2100865

ER -