Displaying results 465 - 472 of 607
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Cryptosporidiosis v1
Content Type: Syndrome
Query purpose: Created by the CDC National Syndromic Surveillance Program (NSSP) for use with emergency department data to develop queries for all National Notifiable Diseases defined by the National Notifiable Disease… read more… terms. These terms were formatted for querying in ESSENCE. Text analysis was conducted on the initial query to … New or Revised Definition: New Definition Date Added to ESSENCE: February 2025 Definition Description: Designed to … -
Resolving the 'Boy Who Cried Wolf' Syndrome
Content Type: Abstract
To date, most syndromic surveillance systems rely heavily on complicated statistical algorithms to identify aberrations. The assumption is that when the statistics identify something unusual, follow-up should occur. However, with multiple strata… read more… phrases, and combinations of variables were used to train the natural language processor (NLP) on which records … and alerting thresholds needed to cause a flag and (2) training the NLP to return a list of key chief complaints … -
Dengue v1
Content Type: Syndrome
Query purpose: Created by the CDC National Syndromic Surveillance Program (NSSP) for use with ED data as part of the rapid reportables project, which seeks to create queries for all National Notifiable Diseases defined by the… read more… terms. These terms were formatted for querying in ESSENCE. Text analysis was conducted on the initial query to … New or Revised Definition: New Definition Date Added to ESSENCE: July 2024 Definition Description: Designed to … -
Marburg v1
Content Type: Syndrome
Query purpose: Created by the CDC National Syndromic Surveillance Program (NSSP) for use with ED data as part of the rapid reportables project, which seeks to create queries for all National Notifiable Diseases defined by the… read more… terms. These terms were formatted for querying in ESSENCE. Text analysis was conducted on the initial query to … New or Revised Definition: New Definition. Date Added to ESSENCE: July 2024 Definition Description: Designed to … -
Digital Epidemiology: designing machine learning approaches to combine Internet-based data sources to monitor and forecast disease activity in multiple locations and spatial resolutions
Content Type: Webinar
Presented May 24, 2018. Mauricio Santillana, MS, PhD describes machine learning methodologies that leverage Internet-based information from search engines, twitter microblogs, crowd-sourced disease surveillance systems, electronic… read more… (Massachusetts and Boston) Highlights: (a) dynamic-moving training window, (b) automatic feature selection, (c) … Jon Bickel, and Ben Reis Split data for modeling Training/Fitting Testing In collaboration with: Sam Tideman, … -
Making the Best Use of Textual ED Data for Syndromic Surveillance
Content Type: Webinar
In this webinar Dr. Travers will review two tools developed at the University of North Carolina at Chapel Hill, which aid in processing textual CC’s and triage notes in support of syndromic surveillance. Textual data from emergency departments… read more… Haas, Waller, Schwartz, Mostafa Machine Learning • Train system to identify patterns • Requires gold standard training set • Syndromic surveillance- gold standard • … -
Using Electronic Surveillance Systems in Resource-Poor Settings: Why and How
Content Type: Abstract
Difficulties in timely acquisition and interpretation of accurate data on communicable diseases can impede outbreak detection and control. These limitations are of global importance: they contribute to avoidable morbidity,… read more… and analysis; the skill sets of current personnel and the training needed for the new system; and the commitment of … -
Cysticercosis associated epilepsy prevention and control
Content Type: Case Study
Cysticercosis is a frequent health problem in developing countries. The disease is due to infection by Taenia solium larvae and is predominant in areas where pigs and humans cohabite. Inappropriate breeding conditions and poor hygiene especially… read more… ___ Cross-Agency Communication and Collaboration __x_ Training and Resources ___x Technologies and Methodologies …