PLoS ONE · 2022 · 13 citations · 16 references
Public HealthEmergency MedicineInfectious DiseasesDisease SurveillanceEpidemiologySyndromic SurveillanceDisease Surveillance SystemsHealth SurveillanceHospital SurveillanceInfectious Disease SurveillanceSurveillance Data AnalysisSurveillance MethodsDisease MonitoringDisease Outbreak SurveillanceEpidemiological DiagnosisHealth MonitoringIcd CodingPopulation-level Health MonitoringSyndromic Notification SystemsSyndromic Surveillance Reporting
BACKGROUND: The French syndromic surveillance (SyS) system, SurSaUD®, was one of the systems used to monitor the COVID-19 outbreak. AIM: This study described the epidemiological characteristics of COVID-19-related visits to both emergency departments (EDs) and the network of emergency general practitioners known as SOS Médecins (SOSMed) in France from 17 February to 28 June 2020. METHODS: Data on all visits to 634 EDs and 60 SOSMed associations were collected daily. COVID-19-related visits were identified using ICD-10 codes after coding recommendations were sent to all ED and SOSMed doctors. The time course of COVID-19-related visits was described by age group and region. During the lockdown period, the characteristics of ED and SOSMed visits and hospitalisations after visits were described by age group and gender. The most frequent diagnoses associated with COVID-19-related visits were analysed. RESULTS: COVID-19 SyS was implemented on 29 February and 4 March for EDs and SOSMed, respectively. A total of 170,113 ED and 59,087 SOSMed visits relating to COVID-19 were recorded, representing 4.0% and 5.6% of the overall coded activity with a peak in late March representing 22.5% and 25% of all ED and SOSMed visits, respectively. COVID-19-related visits were most frequently reported for women and those aged 15-64 years, although patients who were subsequently hospitalised were more often men and persons aged 65 years and older. CONCLUSION: SyS allowed for population health monitoring of the COVID-19 epidemic in France. As SyS has more than 15 years of historical data with high quality and reliability, it was considered sufficiently robust to contribute to defining the post-lockdown strategy.
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