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Displaying results 89 - 96 of 199
  • Anomaly Pattern Detection for Biosurveillance

    Content Type: Abstract

    We propose a new method for detecting patterns of disease cases that correspond to emerging outbreaks. Our Anomaly Pattern Detector (APD) first uses a "local anomaly detector" to identify individually anomalous records and then searches over subsets… read more
    … particular rules for the current (test) and historical (training) datasets. How- ever, an outbreak may create a … we compare it to the corres- ponding subset in the training data. For each rule R, we determine the total number of corresponding records in the test and training datasets (C(R)test and C(R)train) and the number of …
  • Evaluation of Preprocessing Techniques for Chief Complaint Classification

    Content Type: Abstract

    The Real-time Outbreak and Disease Surveillance system collects chief complaints as free text and uses a naïve Bayesian classifier called CoCo to classify the complaints into syndromic categories. CoCo 3.0 has been trained on 28,990 manually clas-… read more
    … 10,161 chief complaints not previously involved in CoCo’s training to measure the propor- tion of chief complaints … We counted the number of unique words in the train- ing set for CoCo 3.0 prior to and post preprocessing, … plaints and decreased the number of unique words in the training set from 2,775 to 2,308. All the words changed in …
  • Infection Control Practitioner Use of NC DETECT

    Content Type: Abstract

    The UNC Department of Emergency Medicine (UNC DEM) conducted an online survey to better understand the surveillance needs of Infection Control Practitioners (ICPs) in North Carolina and solicit feedback on the utility of the North Carolina Disease… read more
    … of the reports available to ICPs and provide targeted training on the specific surveillance needs of ICPs. In … Program for Infection Control and Epidemiology (SPICE). Training should focus on the tools in NC DETECT that assist …
  • Learning Specific Detectors of Adverse Events in Multivariate Time Series

    Content Type: Abstract

    This paper describes how powerful detectors of adverse events manifested in multivariate series of bio-surveillance data can be learned using only a few labeled instances of such events.
    … using domain expertise, if the amount of available training data is insufficient to support automated learning … for machine learning techniques which would allow for training specific detectors even if the number of iden- … improvement can be obtained by combining into the training data labels on false posi- tives with one, then …
  • Enhanced Surveillance for Aedes Mosquitoes in the Arizona Border Region

    Content Type: Case Study

    In 2014, a dengue outbreak affected northern Mexico and travel-associated dengue cases increased in southern Arizona. While Arizona has not detected a local dengue case, local transmission occurred in Nogales, Sonora, sister city of Nogales, Arizona… read more
    … __X_ Cross-Agency Communication and Collaboration _X__ Training and Resources __X_ Technologies and Methodologies … ages and educational levels. By offering educational training sessions, we raised interest in the project and …
  • Promoting the One Health Approach to prevent wildlife-borne zoonotic diseases in Bolivia – Yellow fever outbreak case study

    Content Type: Case Study

    Immediate detection and response to zoonotic disease outbreaks in animals are valuable strategies to prevent infections in humans. Detection and early warning of wildlife-borne pathogens are often limited by the lack of sensitized observers,… read more
    … _x__ Cross-Agency Communication and Collaboration __x_ Training and Resources ___ Technologies and Methodologies … PREDICT team in Bolivia. Thus, increasing awareness and training veterinarians, biologist, rangers and local …
  • Use of Syndromic Surveillance in the Investigation of Salmonella Wandsworth Outbreak

    Content Type: Abstract

    On June 22, 2007 increases in over-the-counter (OTC) electrolyte and child anti-fever medication sales were detected through routine OTC surveillance. Increases in emergency department (ED) data for gastrointestinal (GI) illness among… read more
    … Early notification of the EDs could also aide in ob- taining clinical specimens as new potential cases pre- sent … from EDs need to be developed, either through staff training or remote access by DOHMH. References: [1] Balter …
  • Enhancing Nebraska's Rabies Surveillance using Electronic Public Health Cases Reports and ESSENCE

    Content Type: Case Study

    Accurate and timely reporting of animal rabies test results and potential human exposures is necessary to guide case management and define rabies epidemiology. Accordingly, Nebraska Department of Health and Human Services (NDHHS) collaborated with… read more
    … _ X __ Cross-Agency Communication and Collaboration _X__ Training and Resources __X_ Technologies and Methodologies … for rabies exposure case management yet varying levels of training and skill exist among surveillance staff. To …