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.

Utility of Ambulance Data for Real-Time Syndromic Surveillance: A Pilot in the West Midlands Region, United Kingdom

2017 ◽  
Vol 32 (6) ◽  
pp. 667-672 ◽  
Author(s):  
Dan Todkill ◽  
Paul Loveridge ◽  
Alex J. Elliot ◽  
Roger A. Morbey ◽  
Obaghe Edeghere ◽  
...  
Keyword(s):  
United Kingdom ◽  
Real Time ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Lessons Learned ◽  
Surveillance Systems ◽  
Preliminary Assessment ◽  
The West ◽  
Syndromic Surveillance System ◽  
West Midlands

AbstractIntroductionThe Public Health England (PHE; United Kingdom) Real-Time Syndromic Surveillance Team (ReSST) currently operates four national syndromic surveillance systems, including an emergency department system. A system based on ambulance data might provide an additional measure of the “severe” end of the clinical disease spectrum. This report describes the findings and lessons learned from the development and preliminary assessment of a pilot syndromic surveillance system using ambulance data from the West Midlands (WM) region in England.Hypothesis/ProblemIs an Ambulance Data Syndromic Surveillance System (ADSSS) feasible and of utility in enhancing the existing suite of PHE syndromic surveillance systems?MethodsAn ADSSS was designed, implemented, and a pilot conducted from September 1, 2015 through March 1, 2016. Surveillance cases were defined as calls to the West Midlands Ambulance Service (WMAS) regarding patients who were assigned any of 11 specified chief presenting complaints (CPCs) during the pilot period. The WMAS collected anonymized data on cases and transferred the dataset daily to ReSST, which contained anonymized information on patients’ demographics, partial postcode of patients’ location, and CPC. The 11 CPCs covered a broad range of syndromes. The dataset was analyzed descriptively each week to determine trends and key epidemiological characteristics of patients, and an automated statistical algorithm was employed daily to detect higher than expected number of calls. A preliminary assessment was undertaken to assess the feasibility, utility (including quality of key indicators), and timeliness of the system for syndromic surveillance purposes. Lessons learned and challenges were identified and recorded during the design and implementation of the system.ResultsThe pilot ADSSS collected 207,331 records of individual ambulance calls (daily mean=1,133; range=923-1,350). The ADSSS was found to be timely in detecting seasonal changes in patterns of respiratory infections and increases in case numbers during seasonal events.ConclusionsFurther validation is necessary; however, the findings from the assessment of the pilot ADSSS suggest that selected, but not all, ambulance indicators appear to have some utility for syndromic surveillance purposes in England. There are certain challenges that need to be addressed when designing and implementing similar systems.TodkillD, LoveridgeP, ElliotAJ, MorbeyRA, EdeghereO, Rayment-BishopT, Rayment-BishopC, ThornesJE, SmithG. Utility of ambulance data for real-time syndromic surveillance: a pilot in the West Midlands region, United Kingdom. Prehosp Disaster Med. 2017;32(6):667–672.

Enhanced One Health Surveillance during the 58th Presidential Inauguration—District of Columbia, January 2017

2019 ◽  
Vol 14 (2) ◽  
pp. 201-207
Author(s):  
Tiana A. Garrett-Cherry ◽  
Andrew K. Hennenfent ◽  
Sasha McGee ◽  
John Davies-Cole
Keyword(s):  
Syndromic Surveillance ◽  
Health Care Systems ◽  
Animal Health ◽  
Clinical Signs ◽  
Health Surveillance ◽  
Local Health ◽  
Surveillance Systems ◽  
Syndromic Surveillance System ◽  
Medical Aid ◽  
Care Systems

ABSTRACTObjective:In January 2017, Washington, DC, hosted the 58th United States presidential inauguration. The DC Department of Health leveraged multiple health surveillance approaches, including syndromic surveillance (human and animal) and medical aid station–based patient tracking, to detect disease and injury associated with this mass gathering.Methods:Patient data were collected from a regional syndromic surveillance system, medical aid stations, and an internet-based emergency department reporting system. Animal health data were collected from DC veterinary facilities.Results:Of 174 703 chief complaints from human syndromic data, there were 6 inauguration-related alerts. Inauguration attendees who visited aid stations (n = 162) and emergency departments (n = 180) most commonly reported feeling faint/dizzy (n = 29; 17.9%) and pain/cramps (n = 34;18.9%). In animals, of 533 clinical signs reported, most were gastrointestinal (n = 237; 44.5%) and occurred in canines (n = 374; 70.2%). Ten animals that presented dead on arrival were investigated; no significant threats were identified.Conclusion:Use of multiple surveillance systems allowed for near-real-time detection and monitoring of disease and injury syndromes in humans and domestic animals potentially associated with inaugural events and in local health care systems.

Framework for the Development of Response Protocols for Public Health Syndromic Surveillance Systems: Case Studies of 8 US States

2009 ◽  
Vol 3 (S1) ◽  
pp. S29-S36 ◽  
Author(s):  
Lori Uscher-Pines ◽  
Corey L. Farrell ◽  
Steven M. Babin ◽  
Jacqueline Cattani ◽  
Charlotte A. Gaydos ◽  
...  
Keyword(s):  
Public Health ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
The United States ◽  
Essential Elements ◽  
System Response ◽  
Surveillance Systems ◽  
Health Departments ◽  
Public Health Response ◽  
Syndromic Surveillance System

ABSTRACTObjectives: To describe current syndromic surveillance system response protocols in health departments from 8 diverse states in the United States and to develop a framework for health departments to use as a guide in initial design and/or enhancement of response protocols.Methods: Case study design that incorporated in-depth interviews with health department staff, textual analysis of response plans, and a Delphi survey of syndromic surveillance response experts.Results: All 8 states and 30 of the 33 eligible health departments agreed to participate (91% response rate). Fewer than half (48%) of surveyed health departments had a written response protocol, and health departments reported conducting in-depth investigations on fewer than 15% of syndromic surveillance alerts. A convened panel of experts identified 32 essential elements for inclusion in public health protocols for response to syndromic surveillance system alerts.Conclusions: Because of the lack of guidance, limited resources for development of response protocols, and few examples of syndromic surveillance detecting previously unknown events of public health significance, health departments have not prioritized the development and refinement of response protocols. Systems alone, however, are not effective without an organized public health response. The framework proposed here can guide health departments in creating protocols that will be standardized, tested, and relevant given their goals with such systems. (Disaster Med Public Health Preparedness. 2009;3(Suppl 1):S29–S36)

scholarly journals Monitoring Respiratory Syncytial Virus Regionally In Children Aged < 5 Years Old Using Emergency Department and Urgent Care Center Chief Complaint Data in Florida’s Syndromic Surveillance System, Week 1, 2010 - Week 32, 2014

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Heather Rubino ◽  
David Atrubin ◽  
Janet J. Hamilton
Keyword(s):  
Surveillance System ◽  
Syndromic Surveillance ◽  
Hospital Admissions ◽  
Care Center ◽  
Laboratory Data ◽  
Chief Complaint ◽  
Urgent Care ◽  
Surveillance Systems ◽  
Syndromic Surveillance System ◽  
Syncytial Virus

ED chief complaint and discharge diagnosis data accessed through a syndromic surveillance system can be used for effective, timely monitoring of RSV hospitalizations in children < 5 years old and may be a more efficient and complete means of monitoring seasonality of RSV activity by region and statewide compared to hospital-based laboratory data reporting. Additionally, this surveillance technique can efficiently monitor RSV activity as well as estimate hospital admissions due to RSV and may be a useful approach for other states with syndromic surveillance systems.

scholarly journals Value of syndromic surveillance in monitoring a focal waterborne outbreak due to an unusual Cryptosporidium genotype in Northamptonshire, United Kingdom, June – July 2008

2010 ◽  
Vol 15 (33) ◽  
Author(s):  
S Smith ◽  
A J Elliot ◽  
C Mallaghan ◽  
D Modha ◽  
J Hippisley-Cox ◽  
...  
Keyword(s):  
United Kingdom ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Small Scale ◽  
Local Health ◽  
Surveillance Systems ◽  
National Surveillance ◽  
Syndromic Surveillance System ◽  
Nhs Direct ◽  
National Surveillance System

The United Kingdom (UK) has several national syndromic surveillance systems. The Health Protection Agency (HPA)/NHS Direct syndromic surveillance system uses pre-diagnostic syndromic data from a national telephone helpline, while the HPA/QSurveillance national surveillance system uses clinical diagnosis data extracted from general practitioner (GP)-based clinical information systems. Data from both of these systems were used to monitor a local outbreak of cryptosporidiosis that occurred following Cryptosporidium oocyst contamination of drinking water supplied from the Pitsford Reservoir in Northamptonshire, United Kingdom, in June 2008. There was a peak in the number of calls to NHS Direct concerning diarrhoea that coincided with the incident. QSurveillance data for the local areas affected by the outbreak showed a significant increase in GP consultations for diarrhoea and gastroenteritis in the week of the incident but there was no increase in consultations for vomiting. A total of 33 clinical cases of cryptosporidiosis were identified in the outbreak investigation, of which 23 were confirmed as infected with the outbreak strain. However, QSurveillance data suggest that there were an estimated 422 excess diarrhoea cases during the outbreak, an increase of about 25% over baseline weekly levels. To our knowledge, this is the first time that data from a syndromic surveillance system, the HPA/QSurveillance national surveillance system, have been able to show the extent of such a small outbreak at a local level. QSurveillance, which covers about 38% of the UK population, is currently the only GP database that is able to provide data at local health district (primary care trust) level. The Cryptosporidium contamination incident described demonstrates the potential usefulness of this information, as it is unusual for syndromic surveillance systems to be able to help monitor such a small-scale outbreak.

scholarly journals Better, Stronger, Faster: Why Add Fields to Syndromic Surveillance? New Jersey, 2015

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Pinar Erdogdu ◽  
Teresa Hamby ◽  
Stella Tsai
Keyword(s):  
Emergency Department ◽  
New Jersey ◽  
Poster Presentation ◽  
Population Health ◽  
Education System ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Health Surveillance ◽  
Syndromic Surveillance System ◽  
Emergency Department Data

This poster presentation will describe the inclusion of triage notes into a syndromic surveillance system, Epicenter, to enhance population health surveillance activities. Emergency Department data from EpiCenter and call data from New Jersey Poison Information and Education System related to increased number of synthetic cannabinoid use were evaluated in this analysis.

Developing a new syndromic surveillance system for the London 2012 Olympic and Paralympic Games

2012 ◽  
Vol 140 (12) ◽  
pp. 2152-2156 ◽  
Author(s):  
S. E. HARCOURT ◽  
J. FLETCHER ◽  
P. LOVERIDGE ◽  
A. BAINS ◽  
R. MORBEY ◽  
...  
Keyword(s):  
Public Health ◽  
General Practice ◽  
General Practitioner ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Surveillance Systems ◽  
Syndromic Surveillance System ◽  
National System ◽  
London 2012 ◽  
Paralympic Games

SUMMARYSyndromic surveillance is vital for monitoring public health during mass gatherings. The London 2012 Olympic and Paralympic Games represents a major challenge to health protection services and community surveillance. In response to this challenge the Health Protection Agency has developed a new syndromic surveillance system that monitors daily general practitioner out-of-hours and unscheduled care attendances. This new national system will fill a gap identified in the existing general practice-based syndromic surveillance systems by providing surveillance capability of general practice activity during evenings/nights, over weekends and public holidays. The system will complement and supplement the existing tele-health phone line, general practitioner and emergency department syndromic surveillance systems. This new national system will contribute to improving public health reassurance, especially to meet the challenges of the London 2012 Olympic and Paralympic Games.

Internet-based remote health self-checker symptom data as an adjuvant to a national syndromic surveillance system

2015 ◽  
Vol 143 (16) ◽  
pp. 3416-3422 ◽  
Author(s):  
A. J. ELLIOT ◽  
E. O. KARA ◽  
P. LOVERIDGE ◽  
Z. BAWA ◽  
R. A. MORBEY ◽  
...  
Keyword(s):  
Surveillance System ◽  
Syndromic Surveillance ◽  
Health Data ◽  
Surveillance Systems ◽  
Telephone Triage ◽  
Online Data ◽  
Syndromic Surveillance System ◽  
Eye Problems ◽  
Difficulty Breathing ◽  
Use Of Internet

SUMMARYSyndromic surveillance is an innovative surveillance tool used to support national surveillance programmes. Recent advances in the use of internet-based health data have demonstrated the potential usefulness of these health data; however, there have been limited studies comparing these innovative health data to existing established syndromic surveillance systems. We conducted a retrospective observational study to assess the usefulness of a national internet-based ‘symptom checker’ service for use as a syndromic surveillance system. NHS Direct online data were extracted for 1 August 2012 to 1 July 2013; a time-series analysis on the symptom categories self-reported by online users was undertaken and compared to existing telehealth syndromic data. There were 3·37 million online users of the internet-based self-checker compared to 1·43 million callers to the telephone triage health service. There was a good correlation between the online and telephone triage data for a number of syndromic indicators including cold/flu, difficulty breathing and eye problems; however, online data appeared to provide additional early warning over telephone triage health data. This assessment has illustrated some potential benefit of using internet-based symptom-checker data and provides the basis for further investigating how these data can be incorporated into national syndromic surveillance programmes.

scholarly journals Use of Syndromic Data for Enhanced Surveillance: MERS Like-Syndrome

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Achintya N. Dey ◽  
Matthew Miller ◽  
Michael Coletta ◽  
Umed Ajani
Keyword(s):  
Surveillance System ◽  
Syndromic Surveillance ◽  
National Level ◽  
Surveillance Systems ◽  
Subject Matter Experts ◽  
Case Definitions ◽  
Syndromic Surveillance System ◽  
Time Period ◽  
State And Local ◽  
Collaborative Efforts

The goal is to identify and monitor MERS like syndrome cases in the syndromic surveillance system. In consultation with the state and local jurisdictions, five case definitions were developed to monitor MERS like syndromes. From May through July, 2014 fifteen reporting jurisdictions participated in MERS enhanced surveillance. . During this enhanced surveillance time period 171 probable MERS cases were identified and all of them were ruled out. The MERS collaborative efforts between BioSense programs, CDC subject matter experts and jurisdictions will help develop more comprehensive definitions to conduct enhanced surveillance at the national level using multiple syndromic surveillance systems.

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