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Premium member Presentation Transcript UIC MS HI BHIS 503 FINAL PROJECT VIRTUAL PRESENTATION Title : Syndromic Surveillance: UIC MS HI BHIS 503 FINAL PROJECT VIRTUAL PRESENTATION Title : Syndromic Surveillance 1 Presenter Aftab PeeranSyndromic Surveillance: Syndromic Surveillance What is Syndromic Surveillance ? It is an active or passive system, that uses case definitions that are based entirely on clinical features, without any clinical or laboratory diagnosis. (Source: National Center for Biotechnology information).  Example: Cases of rashes rather than measles. CDC definition: “Surveillance using health related data that precede diagnosis and signify a sufficient probability of a case or an outbreak to warrant further public heath response”.  Term is applicable to population surveillance. Distinct from active surveillance, which applies to individuals.  2Syndromic Surveillance: Syndromic Surveillance Usage  It’s utility for bioterrorism is being increasingly explored. Historically, utilized for investigation of potential cases. In particular to study Infectious diseases. WHO, CDC, and other developed nations have created databases and public health informatics. These systems track and monitor emerging outbreaks like: SARS, HIV, BIOTERRORISM (2001 ANTHRAX attack in the USA). 3Syndromic surveillance: Syndromic surveillance Some Data collection techniques  First indications of disease outbreaks or bioterrorist attacks can be missed by providers or lab. Therefore, the importance of multisource data, monitoring, collection and analysis, examples: School absenteeism logs. Emergency call systems. Hospitals over the counter drug sales. Internet searches, example: Twitter. A spike in monitored systems activity, alerts epidemiologists and relevant officials to an issue. 4Syndromic Surveillance: Syndromic Surveillance Objectives of Syndromic Surveillance  Early warning system to a bioterrorist attack can save many lives. Potentially slow spread of outbreaks. Most effective surveillance systems, criteria: Automatic systems monitoring in real time. Do not require individuals to enter separate information, i.e. secondary data entry. Advanced analytical tools. Aggregate data from multiple systems locally and across geo-political boundaries. Systems, include an automated alerting process. 5Syndromic Surveillance: Syndromic Surveillance Global examples of Syndromic Surveillance:  Gunther Eysenbach, proposed system based on search queries in 2004. Google launches “Google flu trends” in 2008, more flu related searches indicate higher activity. www.google.org/flutrends/ Google results closely match CDC data. University of Bristol, UK create Flu Detector an on line tool, it uses twitter content to “nowcast” UK flu rates. http://geopatterns.enm.bris/ac.uk . 6Syndromic Surveillance: Syndromic Surveillance Examples of Syndromic Surveillance contd:  Influenzanet is a syndromic surveillance system, with a voluantary report of symptoms via the Internet. In the Netherlands and Belgium since 2003. Portugal, implemented Gripenet in 2005. Italy implemented it in 2008. Brazil, Mexico and the United Kingdom followed in 2009. 7Syndromic Surveillance: Syndromic Surveillance London 2012 Summer Olympics, has potential for an infectious disease outbreak. The British Health Protection Agency has made several enhancements to it’s syndromic surveillance systems:  New emergency department syndromic surveillance system is connected to a network of emergency departments. Provides real time monitoring of attendee data. New GP out of hours/unscheduled services and walk in services providing daily Patient reports. 8Syndromic Surveillance In the USA: Syndromic Surveillance In the USA Post terrorist attacks, September 11, 2001, Congress mandated the :  Public Health Security and Bioterrorism Preparedness and Response Act of 2002, thus: The CDC BioSense Program was launched in 2003. Purpose: Establish an integrated national public health surveillance system. Facilitate early detection and rapid assessment of potential bioterrorism-related illnesses. 9Syndromic Surveillance USA CDC and BioSense 2.0: Syndromic Surveillance USA CDC and BioSense 2.0 What does BioSense do?  It protects American lives, How ? By providing timely insight into: Health of communities, regions, and the nation. By offering a variety of features to improve: Data collection. Standardization. Storage. Analysis. Collaboration. 10Syndromic Surveillance USA CDC and BioSense 2.0: Syndromic Surveillance USA CDC and BioSense 2.0 Having the latest technology, BioSense 2.0 can:  Integrate current health data shared by health departments, from a variety of sources. This gives insight into the communities and nation’s health. Faster and more information feedback, enables a quicker response to more outbreaks, by local, state and federal public health partners. 11Syndromic Surveillance USA CDC and BioSense 2.0: Syndromic Surveillance USA CDC and BioSense 2.0 BioSense 2.0 Activities  Integration of local and state level information by CDC. This improves BioSense’s utility at the state and national level. Key components of BioSense’s program design: Where required, to help build health monitoring and workforce infrastructure at all levels. Facilitation of Information interchange to coordinate responses. Monitoring of routine health related outcomes and during an event. 12Syndromic Surveillance USA CDC BioSense 2.0: Syndromic Surveillance USA CDC BioSense 2.0 BioSense 2.0 Activities – Contd  BioSense data utility expansion to multiuse and “all hazard,” to go beyond early event detection. To contribute information for: Public health awareness. Routine public health practice. Improved health outcomes and public health. Enhancing systems to signal alerts for potential problems, thus improving detection ability. Advances in science and technology. 13Syndromic Surveillance USA CDC and BioSense 2.0: Syndromic Surveillance USA CDC and BioSense 2.0 BioSense Data in Action  The only public health surveillance system, capable of monitoring all hazards and health outcomes. It is the only system that facilitates quick information sharing between state and local health departments and CDC across city, county and state borders. 14Syndromic Surveillance USA CDC and BioSense 2.0: Syndromic Surveillance USA CDC and BioSense 2.0 Examples of BioSense data used for enhanced surveillance and situation awareness:  2012 : Dengue Detection Project, Florida and Hawaii. BioSense data identified individuals with dengue like symptoms (fever and rash). 2011 U.S Heat Wave: BioSense data between May and August 2011 used to monitor heat related illnesses'. Data shared with state health in the most affected areas. This facilitated preventive and responsive protocols. 15Syndromic Surveillance USA CDC and BioSense 2.0: Syndromic Surveillance USA CDC and BioSense 2.0 Examples of BioSense data used for enhanced surveillance and situation awareness, contd:  2011: Japanese Tsunami and Nuclear Disaster in Fukushima. 20 DoD facilities in Japan monitored by BioSense. Cluster detection methods used to identify syndromes associated with injuries and radiation. Search for specific ICD-9-CM codes associated with radiation exposure. Data showed that no American troops, families affected during or after this event. 16Syndromic Surveillance USA CDC and BioSense 2.0: Syndromic Surveillance USA CDC and BioSense 2.0 Examples of BioSense data used for enhanced surveillance and situation awareness, contd:  2010 Gulf Oil Spill: BioSense program worked with state and local jurisdictions, in Alabama, Louisiana, Mississippi, Texas, VA and the DoD. 21 specific syndromes and several mental health conditions were monitored from 86 coastal healthcare facilities. Daily BioSense situation awareness reports showed immediate health impact from oil spill was limited for Gulf Coast residents. 17Syndromic Surveillance : Syndromic Surveillance In conclusion, Syndromic surveillance has great potential. To fight bioterrorism and disease spread, nationally and globally. We require a better understanding of it’s mechanics and application. Appropriate human resource training is also key to it’s successful usage. THANK YOU Ladies and Gentlemen It was a great pleasure to address you all 18Syndromic Surveillance: Syndromic Surveillance References 1. [1}, David Raths “Real-time Public Health Data Improves Situation Awareness” June 4, 2012. www.emergencymgmt.com/…/gov_print_arti... (definition Source: National Center for Biotechnology Information). 2.      , Clinical Surveillance—Wikipedia, http://en.wikipedia.org/wiki/clinical_surveillance. 3. Eysenbach, G; Infodemiology: Tracking Flu-Related Searches on the Web for Syndromic Surveillance. Annual Symp Proc 2006: 244-8. PMC 1839505. http://www.ncbi.nlm.nih.gov.pmc/articles/PMC1839505 4 . , David Raths “Summer Olympics May Test Disease Surveillance Capability.” July 23, 2012. healthcare –informatics.com/…/summer… http://www.emergemcymanagement.comhealth/Public-health-data-improves-situational-awareness.html 5 .       Centers for Disease Control and Prevention BioSense Home. http://www.cdc.gov/biosense/ 6.  Centers for Disease Control and Prevention “BioSense Data in Action” http://ww.cdc.gov/biosense/action.html 19 You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.