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The evaluation of outbreak detection performance remained a major challenge to every syndromic surveillance system. Owing to the scarcity and uncertainty of infectious disease outbreaks in the real world, simulated outbreak datasets have been commonly used by scholars for performance evaluation... Read more

Content type: Abstract

Extreme heat events over the past 30 years have resulted in unprecedented increase in the numbers of heat-related morbidity and mortality across the world. During the same time frame, Houston residents has experienced three of the hottest summers on record since 1889, with 2011 being the hottest... Read more

Content type: Abstract

Completeness of public health information is essential for the accurate assessment of community health progress and disease surveillance. Yet challenges persist with respect to the level of completeness that public health agencies receive in reports submitted by health care providers. Missing... Read more

Content type: Abstract
Objective: To monitor clinical encounters for gonorrhea infection and disease Syndromic surveillance system: ESSENCE Data Sources: Emergency department visits, primary and urgent care visits  Fields used to query the data: Chief Complaint History, Discharge Diagnosis
Content type: Syndrome
Objective: To monitor clinical encounters for chlamydia infection and disease Syndromic surveillance system: ESSENCE Data Sources: Emergency department visits, primary and urgent care visits  Fields used to query the data: Chief Complaint History, Discharge Diagnosis

 

Content type: Syndrome

Held September 13, 2018.

Aaron Kite-Powell, M.S., from CDC and Wayne Loschen, M.S., from JHU-APL were available during this 60-minute session to provide updates on the ESSENCE platform as well as tips and tricks to make it more useful for members. Attendees came prepared with questions... Read more

Content type: Webinar

KDHE has updated the exhisting CO Poisoning Surveillance queries. Version 1 can be found here https://www.surveillancerepository.org/carbon-monoxide-exposure-kansas-d...

Previously, we were querying for carbon monoxide-related cases by using the NSSP ESSENCE SubSyndrome for COPoisoning... Read more

Content type: Syndrome

The space-time scan statistic is a powerful statistical tool for prospective disease surveillance. It searches over a set of spatio-temporal regions (each representing some spatial area S for the last k days), finding the most significant regions (S, k) by maximizing a likelihood ratio statistic... Read more

Content type: Abstract

A comprehensive definition of a syndrome is composed of direct (911 calls, emergency departments, primary care providers, sensor, veterinary, agricultural and animal data) and indirect evidence (data from schools, drug stores, weather etc.). Syndromic surveillance will benefit from quickly... Read more

Content type: Abstract

There is limited closed-form statistical theory to indicate how well the prospective space-time permutation scan statistic will perform in the detection of localized excess illness activity. Instead, detection methods can be applied to simulated data to gain insight about detection performance.... Read more

Content type: Abstract

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This Knowledge Repository is made possible through the activities of the Centers for Disease Control and Prevention Cooperative Agreement/Grant #1 NU500E000098-01, National Surveillance Program Community of Practice (NSSP-CoP): Strengthening Health Surveillance Capabilities Nationwide, which is in the interest of public health.

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