scholarly journals Risk factors associated with the incidence of self-reported COVID-19-like illness: Data from a web-based syndromic surveillance system in the Netherlands

2021 ◽  
pp. 1-20
Author(s):  
Scott A McDonald ◽  
Cees C van den Wijngaard ◽  
Cornelia CH Wielders ◽  
Ingrid HM Friesema ◽  
Loes Soetens ◽  
...  
Keyword(s):  
Risk Factors ◽  
The Netherlands ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Web Based ◽  
Syndromic Surveillance System ◽  
Factors Associated

scholarly journals Establishing a National Syndromic Surveillance System among Asylum Seekers

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Mariette Hooiveld ◽  
Madelief Mollers ◽  
Stephanie Van Rooden ◽  
Robert A. Verheij ◽  
Susan Hahné
Keyword(s):  
Health Care ◽  
The Netherlands ◽  
Infectious Diseases ◽  
Surveillance System ◽  
Asylum Seekers ◽  
Syndromic Surveillance ◽  
Health Centre ◽  
Care Centre ◽  
Health Care Centre ◽  
Syndromic Surveillance System

ObjectiveFacing challenges to establish a new national syndromicsurveillance system in the Netherlands for infectious diseases amongasylum seekers.IntroductionMost European countries are facing a continuous increased influxof asylum seekers [1]. Poor living conditions in crowded shelters andrefugee camps increase the risk for - outbreaks of - infectious diseasesin this vulnerable population. In line with ECDC recommendations[2], we aim to improve information on infectious diseases amongasylum seekers by establishing a new syndromic surveillance systemin the Netherlands. This system will complement the notifiabledisease system for infectious diseases.The aim of the syndromic surveillance system is to improve thedetecting of outbreaks of infectious diseases in asylum seekers’centres in an early stage of development to be able to take adequateand timely measures to prevent further spread, and to collectinformation on the burden of infection within this population.MethodsPrimary health care for asylum seekers in the Netherlands isorganized nationally by the Asylum Seekers Health Centre, withgeneral practitioners providing care in each reception centre. Generalpractitioners (GPs) act as gatekeepers for specialized, secondaryhealth care and the GP is the first professional to consult for healthproblems. Therefore, electronic health records (EHR) kept by GPsprovide a complete picture of this population. These EHRs containdata on diagnoses/symptoms and treatment of asylum seekers, usingthe International Classification of Primary Care (ICPC). This data isrecorded routinely, as part of the health care process. During summer2016, about 30,000 asylum seekers were housed in about 60 receptioncentres across the Netherlands.ResultsThe governance structure was layed down in a collaborationagreement between the Asylum Seekers Health Centre, the nationalinstitute of public health RIVM and NIVEL. To ensure privacy ofthe asylum seekers, a privacy protocol has been drawn, taking intoaccount strict privacy regulations in the Netherlands. The informationsystem provider of the health care centre developed an extraction toolthat automatically generates weekly data extracts from the electronichealth records system to a Trusted Third Party (TTP). Beforetransferring the data to NIVEL, the TTP removes directly identifyingpatient information, indirectly identifying information like date ofbirth is replaced by quarter and year, and the personal identificationnumber is replaced by a pseudonym. At NIVEL, all data is storedin a relational database, from which weekly research extracts aregenerated for infectious disease surveillance at RIVM after applyinga second pseudonymisation step (two-way pseudonimisation) [3].First data extracts are being expected mid-October 2016, after whichdata quality will be evaluated. Weekly, or daily, consultations rateswill be calculated based on the number of cases meeting predefineddefinitions, stratified by immigration centre, age group, sex andnationality. Numerators will be based on the number of populationhoused in the immigration centres.ConclusionsWith the cooperation of a national health care centre, providingprimary care to asylum seekers housed at several locations, and theinformation system provider of the health care centre, EHRs can beused for syndromic surveillance, taking into account strict privacyregulations. The new surveillance system will be evaluated after oneyear, focusing on data quality, usefulness, and the added value aboveto the notification of diseases.

Construction of syndromic surveillance using a web-based daily questionnaire for health and its application at the G8 Hokkaido Toyako Summit meeting

2010 ◽  
Vol 138 (10) ◽  
pp. 1493-1502 ◽  
Author(s):  
H. SUGIURA ◽  
Y. OHKUSA ◽  
M. AKAHANE ◽  
T. SUGAHARA ◽  
N. OKABE ◽  
...  
Keyword(s):  
Surveillance System ◽  
Syndromic Surveillance ◽  
Health Surveillance ◽  
Health Conditions ◽  
Surveillance Systems ◽  
Web Based ◽  
Syndromic Surveillance System ◽  
Summit Meeting ◽  
Local Residents ◽  
Set Up

SUMMARYWe constructed a syndromic surveillance system to collect directly information on daily health conditions directly from local residents via the internet [web-based daily questionnaire for health surveillance system (WDQH SS)]. This paper considers the feasibility of the WDQH SS and its ability to detect epidemics. A verification study revealed that our system was an effective surveillance system. We then applied an improved WDQH SS as a measure against public health concerns at the G8 Hokkaido Toyako Summit meeting in 2008. While in operation at the Summit, our system reported a fever alert that was consistent with a herpangina epidemic. The highly mobile WDQH SS described in this study has three main advantages: the earlier detection of epidemics, compared to other surveillance systems; the ability to collect data even on weekends and holidays; and a rapid system set-up that can be completed within 3 days.

scholarly journals Outbreak of ED visits related to the use of synthetic cannabinoids, Mayotte Island

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Pascal Vilain ◽  
Salamta Bah-Assoumani ◽  
Ali-Mohamed Youssouf ◽  
Laurent Filleul
Keyword(s):  
Public Health ◽  
Behavioral Disorders ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Adverse Reactions ◽  
Health Agency ◽  
Case Definition ◽  
Syndromic Surveillance System ◽  
Ed Visits ◽  
Mental And Behavioral Disorders

ObjectiveTo confirm and to characterize the increase in emergency department (ED) visits related to the use of synthetic cannabinoids (SC)IntroductionOn October 2016, the Indian Ocean Regional Health Agency was alerted about an increase in ED visits related to adverse reactions associated with use of SC on Mayotte Island. In this context, an investigation based on a syndromic surveillance system was implemented by the regional unit of the French national public health agency.MethodsAn extraction of anonymized records routinely collected by the syndromic surveillance system (1) was carried out from January 1st, 2012 to October 30, 2016. ED visits related to the consumption of SC were identified from ICD-10 codes of the principal diagnostic according to two levels of confidence:- a probable case was defined as ED visit coded X69 (Intentional self-poisoning by and exposure to other and unspecified chemicals and noxious substances). This code has been implemented specifically by ED physicians since august 2015;- a suspect case was defined as ED visit coded: F11 (Mental and behavioral disorders due to use of opioids), F12 (Mental and behavioral disorders due to use of cannabinoids), F16 (Mental and behavioral disorders due to use of hallucinogens), F18 (Mental and behavioral disorders due to use of volatile solvents), F19 (Mental and behavioral disorders due to multiple drug use and use of other psychoactive substances).Based on these data, an epidemic curve and a descriptive analysis of ED visits were carried out.ResultsIn total, 146 ED visits related to adverse events associated with use of SC were registered from January 1st, 2012 to October 30, 2016. The epidemic curve shows two waves between 2015 and 2016 with a particularly high peak in August 2015 (Figure 1). In total, 49% (n=72/146) of these ED visits were probably related to adverse reactions associated to use SC and 51% (n=74/146) meet to the suspect case definition. On the surveillance period, men represented 84% of the patients (n=122) and median age (min – max) was 23 (8-62) years old. When the severity score variable was filled (n = 138), a vital emergency was reported for 4% (n = 5) of patients and 19% of patients were hospitalized.ConclusionsData from syndromic surveillance system allowed to confirm an increase in ED visits related to adverse reactions associated with use of SC in Mayotte Island. To our knowledge, it’s the first time that an outbreak related to use SC is described in the Ocean Indian areaThis phenomenon was particularly marked in 2015 with a peak of ED visits on August 2016.After this outbreak, the regional unit of the French national public health agency recommended the pursuit of the coding X69 in principal diagnosis with the following case definition: any patient with an adverse reaction attributed to synthetic cannabinoid use whether suspected by the medical team or declared by the patient himself or if the patient is in possession of the substance; and to raise awareness ED physicians to the notification of these poisonings to the Regional Addictive Surveillance Center.In conclusion, the young population, weakened by a precarious socio-economic situation, is a target for new synthetic drugs and a threat to public health. This emerging risk in Mayotte must be taken into account and must be actively monitored. In this context, collaborative work with the emergency services must continue in parallel with targeted prevention measures.References1. Vilain P, Maillard O, Raslan-Loubatie J, Abdou MA, Lernout T, Filleul L. Usefulness of Syndromic Surveillance for Early Outbreak Detection in Small Islands: The Case of Mayotte. Online Journal of Public Health Informatics. 2013;5(1):e149.

scholarly journals Assessing 3 Outbreak Detection Algorithms in an Electronic Syndromic Surveillance System in a Resource-Limited Setting

2020 ◽  
Vol 26 (9) ◽  
pp. 2196-2200
Author(s):  
Emily Alsentzer ◽  
Sarah-Blythe Ballard ◽  
Joan Neyra ◽  
Delphis M. Vera ◽  
Victor B. Osorio ◽  
...  
Keyword(s):  
Surveillance System ◽  
Syndromic Surveillance ◽  
Resource Limited Setting ◽  
Outbreak Detection ◽  
Syndromic Surveillance System ◽  
Detection Algorithms ◽  
Resource Limited ◽  
Limited Setting

scholarly journals Characterizing the Effects of Extreme Cold Using Real-time Syndromic Surveillance, Ontario, Canada, 2010-2016

2017 ◽  
Vol 132 (1_suppl) ◽  
pp. 48S-52S ◽  
Author(s):  
Nancy VanStone ◽  
Adam van Dijk ◽  
Timothy Chisamore ◽  
Brian Mosley ◽  
Geoffrey Hall ◽  
...  
Keyword(s):  
Public Health ◽  
Acute Care ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Cold Temperature ◽  
Syndromic Surveillance System ◽  
Southern Ontario ◽  
Threshold Temperatures ◽  
Ed Visits ◽  
Extreme Cold

Morbidity and mortality from exposure to extreme cold highlight the need for meaningful temperature thresholds to activate public health alerts. We analyzed emergency department (ED) records for cold temperature–related visits collected by the Acute Care Enhanced Surveillance system—a syndromic surveillance system that captures data on ED visits from hospitals in Ontario—for geographic trends related to ambient winter temperature. We used 3 Early Aberration Reporting System algorithms of increasing sensitivity—C1, C2, and C3—to determine the temperature at which anomalous counts of cold temperature–related ED visits occurred in northern and southern Ontario from 2010 to 2016. The C2 algorithm was the most sensitive detection method. Results showed lower threshold temperatures for Acute Care Enhanced Surveillance alerts in northern Ontario than in southern Ontario. Public health alerts for cold temperature warnings that are based on cold temperature–related ED visit counts and ambient temperature may improve the accuracy of public warnings about cold temperature risks.

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