Displaying results 1 - 6 of 6
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Evaluation of the Connecticut Hospital Emergency Department Syndromic Surveillance System for Monitoring of Community Gastrointestinal Illness
Content Type: Abstract
The HEDSS system was implemented in 2004 to monitor disease activity [1]. Twenty of 32 emergency departments (ED) and 1 urgent care clinic provide data. Chief complaints are routinely categorized into 8 syndromes. Although previous studies have… read more -
When it Rains it Pours: Real-time Situational Awareness for Two Weather Emergencies in Connecticut
Content Type: Abstract
On August 28, 2011 Tropical Storm Irene made landfall in Connecticut. On October 29, 2011 Connecticut was impacted by Winter Storm Alfred. Both of these storms included high winds and heavy precipitation which resulted in prolonged power outages,… read more -
An Integrated System for Enteric Disease Surveillance and Outbreak Detection
Content Type: Abstract
The Connecticut Department of Public Health (DPH), in collaboration with Yale Emerging Infections Program (EIP), receives funding to particpate in the Foodborne Diseases Active Surveillance Network (FoodNet) and Foodborne Disease Centers for… read more -
Real-time monitoring of a mass K2-related overdose outbreak â Connecticut, 2018
Content Type: Abstract
On August 15, 2018, the Connecticut Department of Public Health (DPH) became aware of a cluster of suspected overdoses in an urban park related to the synthetic cannabinoid K2. Abuse of K2 has been associated with serious adverse effects and… read more -
Localized Surveillance: A Fresh Perspective for Regional Syndromic Surveillance
Content Type: Abstract
Recent efforts to share syndromic surveillance data have focused on developing national systems, namely BioSense 2.01 . The problems with creating and implementing national systems, such as legal issues, difficulties in standardizing syndrome… read more -
Place Matters: Revealing Infectious Disease Disparities Using Area-Based Poverty
Content Type: Abstract
Most public health surveillance systems in the United States do not capture individual-level measures of socioeconomic position. Without this information, socioeconomic disparities in health outcomes can be hidden. However, US Census data can be… read more