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Displaying results 73 - 80 of 121
  • Increasing Local Access to Syndromic Surveillance Data

    Content Type: Abstract

    In the spring of 2005, the ISDH began using Electronic Surveillance System for the Early Notification of Community-based Epidemics  (ESSENCE) application to analyze emergency department (ED) chief complaint data for syndromic surveillance… read more
    … hardware proved challenging and at times dissatisfying. A training username/password is created specifically for each … To date, 43 hospitals and 17 LHDs have received ESSENCE training and now have access to their syndromic data. When …
  • Disease surveillance using school absenteeism data in rural Cambodia

    Content Type: Abstract

    Previous studies in developed countries showed school absenteeism data can serve as a proxy for monitoring infectious disease activities and facilitates early community outbreak detection. However, absenteeism patterns may differ in developing… read more
    … surveillance system was feasible after initial staff training, purchasing necessary equip- ments for …
  • Approaches to Prediction Models for Poison Control Center-Based Syndromic Surveillance for Foodborne Illness

    Content Type: Abstract

    To construct and validate a prediction algorithm that detects early increases in laboratory reports of enteric illnesses on the basis of calls to a poison control center reporting suspected foodborne illnesses.
    … using the first two and a half years of data (“training data set”), and validated in the remaining two and … hours of symptom onset. Forty-five percent of the PCHD “training” data set and 25% of the “test data set” was …
  • Comparing Syndromic Surveillances using Two Aspects: Emergency and Telehealth Data Sources

    Content Type: Abstract

    The objective of this paper is to examine the utility of Emergency Department and Telehealth data for Syndromic Surveillance. This works attempts to minimize false outbreak detection. It also demonstrates that these two data sources contain… read more
    … algorithms use the historical data of the outbreaks as a training set to build a model of this data. A sliding window of several days is used with the sequence data to train the neural networks (NN). Emergency Department (ED) … Two types of outbreak patterns were injected into the training set at a rate of one outbreak per year. These …
  • Finding medically unexplained symptoms within VA clinical documents using v3NLP

    Content Type: Abstract

    Pro-WATCH (protecting war fighters using algorithms for text processing to capture health events), a syndromic surveillance project for veterans of operation enduring freedom (OEF)/operation Iraqi freedom (OIF), includes a task to identify medically… read more
    … machine learning model, trained using annotations from a training corpus currently under devel- opment. A statistical … duration component of the symptom identifica- tion. The training corpus is expected to have duration assertions. The …
  • The Performance of a NGram Classifier for Patients' Chief Complaint Based on a Computerized Pick List Entry and Free Text in an Italian Emergency Department

    Content Type: Abstract

    Syndromic surveillance of emergency department (ED) visit data is often based on computer algorithms which assign patient chief complaints (CC) and ICD code data to syndromes. The triage nurse note (NN) has also been used for… read more
    … the 23 CC pick list categories. We used the 2005 data for training the classifiers and the 2006 data for testing the … ESSENCE classifier for RESP as the criterion standard for training and testing. To test the probabilistic methods, we …
  • Acute Flaccid Paralysis Surveillance System Evaluation, Ebonyi State Nigeria, 2017

    Content Type: Abstract

    Nigeria is one of the three countries in the world with ongoing wild poliovirus (WPV) transmission, alongside Afghanistan and Pakistan. Nigeria also experiences outbreaks of circulating vaccine-derived poliovirus type 2 (cVDPV2). Following the… read more
    … P. Ossai6 1Nigeria Field Epidemiology and Laboratory Training Program, Asokoro, Nigeria; 2Community Medicine, … of Health and Nigeria Field Epidemiology and Laboratory Training Program for supporting the study. References 1. …
  • Enhancement of ESSENCE-based chemical surveillance by incorporation of real-time poison information center data

    Content Type: Abstract

    Florida Department of Health has developed a statewide syndromic surveillance system based on the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE). Authorized users can currently access… read more
    … 2010. All users are required to complete 3h of online training before gaining access to FPICN data through … there are more than 85 users in 31 Florida counties with training and access to FPICN data through ESSENCE. …