This syndrome was developed for enhanced surveillance during the National Collegiate Athletic Association Final Four games and related events in Maricopa County in 2017. In addition to the Final four games, Maricopa County hosted several related events including a multi day music festival and Fan Fest. The query was developed in NSSP ESSENCE using chief complaint terms for the events, venues, participating teams, and performing artists
Emergency Department (ED)
This syndrome was created as a part of the Arboviral Syndromic Surveillance Project in Arizona, which includes bi-weekly monitoring of syndromic data to enhance traditional arboviral surveillance. The syndrome was developed using BioSense 2.0 phpMyAdmin and later transitioned to ESSENCE. The syndrome queries chief complaint and discharge diagnosis code
This syndrome was created as a part of the Arboviral Syndromic Surveillance Project in Arizona, which includes bi-weekly monitoring of syndromic data to enhance traditional arboviral surveillance. The syndrome was developed using BioSense 2.0 phpMyAdmin and later transitioned to ESSENCE. The syndrome queries chief complaint and discharge diagnosis code
This syndrome was created as a part of the Arizona Arboviral Syndrome Surveillance Project, which includes bi-weekly monitoring of syndromic data to enhance traditional surveillance. The syndrome was initially created using BioSesne 2.0 phpMyAdmin and later transitioned to ESSENCE.
This syndrome was created using BioSense 2.0 phpMyAdmin and later transitioned to ESSENCE. The syndrome queries chief complaint and discharge diagnosis fields. The Maricopa County data include emergency room and inpatient visits.
Globally, disease surveillance systems suffer from a number of resource constraints. These constraints are more pronounced in developing countries, which bear the greatest burden of disease and where pathogens are more likely to emerge, reemerge, and mutate into drug-resistant strains (US-GAO August 2001). It has traditionally been difficult to monitor disease burden and trends in India, and even more difficult to detect, diagnose, and control outbreaks until they had become quite large (Suresh June 2003).
Description
The LAC SSS has been in existence since 2004. Currently, the system collects data from over 50 hospitals daily and performs a chief complaint-based syndrome classification analysis of all ED visits. The keyword “fever” is of special interest due to its inclusion within several syndrome category definitions such as influenza, meningitis, etc. However, inclusion of such terms in syndrome definitions may be a disadvantage as such keyword searches would depend upon the consistency in which the term “fever” is reported. In 2014, several LAC syndromic surveillance hospital data connections were upgraded to include notes recording patient body temperature. To evaluate the newly added temperature information, analyses were conducted on those observations that included body temperature, chief complaint, and diagnosis information.
Objective
The Los Angeles County (LAC) Emergency Department (ED) Syndromic Surveillance System (SSS) classifies patients into syndrome categories based on stated chief complaints. In an effort to evaluate the accuracy of patient- stated chief complaints and final diagnoses, both “fever” chief complaints and diagnoses were compared with patient body temperature readings.
Description
In the event of a large-scale public health crisis, successfully detecting and assessing health threats and monitoring population health status over a sustained period of time is likely to require integration of information from multiple sources. In addition, this information must be shared at varying levels of detail both among different agencies or organizations within an affected locality and among response participants at local, state, and federal levels of government. In early 2007, the International Society for Disease Surveillance (ISDS) proposed a project to support member initiated consultations on priority unresolved questions in the field of syndromic surveillance (SS) research, development, or practice. The Duval County Health Department sought and obtained ISDS support to address the use of SS data in combination with other human health and veterinary surveillance data, environmental sampling data, and plume modeling results in the event of an airborne bioterrorist (BT) attack. To date, the development of SS in Florida has mainly focused on systems that monitor information from emergency department (ED) visits. In addition, because SS development was decentralized and managed primarily by county health departments, various systems were used in Florida, including ESSENCE, STARS, EARS and BioDefend.
Objective
The objective of this consultation was to develop expert, consensus-based recommendations for use of SS in combination with other human health, animal health, and environmental data sources to improve situational awareness in the event of a large-scale public health emergency. The consultation, convened by the Duval County, Florida, Health Department, involved other local and state public health offi cials from Florida who addressed this question in the context of a hypothetical BT attack scenario in Duval County. Insights arising from the consultation will be used to strengthen public health surveillance capacities as part of both local and state emergency preparedness efforts in Florida. The approach used by the consultation may be useful to other health departments seeking to enhance their emergency situational awareness capacity.
Referenced File
Description
By mid-May 2008, the State of Florida had 102 active wildfires affecting approximately 40,000 acres. In addition, the Mustang Corners Fire in Everglades National Park started on May 14 and burned throughout the month affecting another 40,000 acres of federal land. Smoke from several wildfires cast a haze over parts of south Florida, prompting the National Weather Service to issue a dense smoke advisory. The Governor declared a State of Emergency, the EOC was activated and ESF-8 requested that the Agency for Health Care Administration open a wildfire event in the Emergency Status System to track census and bed availability in the local hospitals.
Objective
We used the syndromic surveillance system ESSENCE (Electronic Surveillance System for the Early Notification of Community-based Epidemics) to evaluate emergency room visits with respiratory related chief complaints in an area with decreased air quality associated with wildfires affecting South Florida, 2008.
Referenced File
Description
Many syndromic surveillance systems use spatio-temporal analysis to detect local outbreaks such as gastrointestinal illnesses and lower respiratory infections. In Reunion Island, the syndromic surveillance system is based mainly on ED visits. Spatial analysis was first used in 2013 to validate retrospectively a cluster of viral meningitis. At the end of 2014, the Regional Office of French Institute for Public Health Surveillance implemented a prospective computer-automated space-time analysis in order to launch daily analyses of ED visits.
Objective
To present the implementation and the first results of a prospective spatio-temporal analysis from emergency department (ED) data in Reunion Island.