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Establishing syndromic surveillance of gastrointestinal infections in emergency departments using routine emergency department data and validating it against laboratory-based surveillance, Germany, January 2019 - June 2023

Baum, J. H. J.; Doerre, A.; Boender, T. S.; Heldt, K.; Wilking, H.; Drynda, S.; Erdmann, B.; Grashey, R.; Grupp, C.; Habbinga, K.; Hamelmann, E.; Heining, A.; Hoeger-Schmidt, H.; Kill, C.; Reichert, F.; Risse, J.; Schilling, T.; AKTIN Research Group, ; Schranz, M.

2023-11-29 gastroenterology
10.1101/2023.11.28.23298985 medRxiv
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2.Structured AbstractO_ST_ABSBackgroundC_ST_ABSGastrointestinal infections in Germany account for 24.5 million outpatient visits annually. Surveillance of gastrointestinal infections in emergency departments strengthens timely outbreak detection and disease trend monitoring. AimWe developed a syndrome definition for automated syndromic surveillance of gastrointestinal infections in emergency departments, and validated it against statutory laboratory-based surveillance. MethodsTo develop a syndrome definition, we selected presenting complaints (Canadian Emergency Department Information System) and diagnoses (ICD-10). We validated the definition through time series and cross-correlation analysis, comparing trends between syndromic and laboratory-based surveillance. We analysed German emergency department registry (AKTIN) data and included emergency departments that continuously transferred (01/2019-06/2023) data. As reference we combined statutory norovirus-gastroenteritis, rotavirus-gastroenteritis, campylobacteriosis and salmonellosis notifications. ResultsOur syndrome definition combined presenting complaints (diarrhoea, vomiting and nausea) and diagnoses (Intestinal infectious diseases). Accordingly, in 7 emergency departments with n = 864,353 visits, 2.1% (n = 18,158) were gastrointestinal infection cases. Of those, 57% (n = 10,424) were female, with 23% 0-19 years (n = 4,108) and 23% 20-29 years (n = 4,116) old. We visually observed similar gastrointestinal infection trends in both surveillance systems. The cross-correlation was 0.73 (95%-confidence interval 0.61-0.85; p<0.001) at lag -1, indicating a 1-week relative reporting delay of laboratory-based surveillance. ConclusionThe coherent trends and significant cross-correlation validated our syndrome definition, which adequately captures gastrointestinal infection cases in emergency departments. Our novel automated surveillance complements laboratory-based surveillance, while offering advantages regarding timeliness and reduced workload. Therefore, it will be implemented in national routine surveillance.

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