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Displaying results 217 - 224 of 367
  • Introducing: Future MFT Facility Administration Tool – User Interface and Functionality

    Content Type: Webinar

    The NSSP Support Team will present an overview on the plans for a future Master Facility Table user interface (UI) designed to replace the current excel-spreadsheet update process. The presentation will feature mock-ups of the UI screens,… read more
    … the MFT and ADM_Crosswalk Is used for data processing ESSENCE tables: Are used by ESSENCE ‹#› Proposed UI 5 Current MFT Update Process Site …
  • Delineating Spatial Clusters with Artificial Neural Networks

    Content Type: Abstract

    Multiple or irregularly shaped spatial clusters are often found in disease or syndromic surveillance maps. We develop a novel method to delineate the contours of spatial clusters, especially when there is not a clearly dominating primary cluster,… read more
    … We start de- fining a MLP artificial neural network with training set size m. The geographic coordinates and the scan … backpropagation [2,3]. Follow- ing the training phase, the scan function evaluation is extended for … [2] M. H. Fun and M.T. Hagan, 1996. Levenberg-Marquardt training for modular networks. In Proceedings of the IEEE …
  • Mixture Likelihood Ratio Scan Statistic for Disease Outbreak Detection

    Content Type: Abstract

    This article describes the methodology and results of Team #134ís submission to the 2007 ISDS Technical Contest.
    … sales (OTC), and nurse hotline calls (TH)). The training data included 30 outbreak signatures for each … nent. Guided by the distinct outbreak signatures in the training data, we assumed parametric forms for the outbreak … 1 shows the result of the parametric fit for the first training outbreak. Our contest score was 5.58 for ED, 24.00 …
  • Integrating Early Event Detection into Local Disease Surveillance and Response

    Content Type: Abstract

    This poster describes the practical integration of Early Event Detection (EED) into the daily operation of a medium sized public health department to improve surveillance for, and response to, outbreaks of communicable disease.
    … for simple and rapid checking by someone with limited training. Automated daily emergency department reports are …
  • Use of Epidemiological Knowledge to Create Syndromic Surveillance Reports

    Content Type: Abstract

    Syndromic surveillance is an investigational approach used to monitor trends of illness in communities. It relies on pre-diagnostic health data rather than laboratory-confirmed clinical diagnoses. Its primary purpose is to detect… read more
    … for the Early Notification of Community Based Epidemics (ESSENCE) BACKGROUND Syndromic surveillance is an … necessary. In addition, the epidemiologist analyzing ESSENCE also monitors the county’s 911 Call Center and …
  • Approach to zoonoses in the context of One Health

    Content Type: Case Study

    Zoonotic diseases constitute about 70% of the emerging or reemerging diseases in the world; they affect many animals, cause many economic loses, and have a negative effect on public health. As a tropical country, Cuba is not exempt from the… read more
    … _ X __ Cross-Agency Communication and Collaboration ___Training and Resources ___Technologies and Methodologies … importation of animals, protection for risk groups, and training of personnel and community education. It also …
  • Fast Graph Structure Learning from Unlabeled Data for Outbreak Detection

    Content Type: Abstract

    Disease surveillance data often has an underlying network structure (e.g. for outbreaks which spread by person-to-person contact). If the underlying graph structure is known, detection methods such as GraphScan (1) can be used to identify an… read more
    … connected subgraph for each graph structure and each training example using GraphS- can. We normalize each score … by the maximum unconstrained subset score for that training example (computed efficiently using LTSS). We then compute the mean normalized score averaged over all training examples. If a given graph is close to the true …
  • Results from the BioSense Jurisdiction-Specific Wbinars

    Content Type: Abstract

    BioSense is a Centers for Disease Control and Prevention (CDC) national near real-time public health surveillance system. CDC’s BioIntelligence Center (BIC) analysts monitor, analyze, and interpret BioSense data daily and provide support to BioSense… read more
    … hospital utilization and mortality data. Identified training needs included the following: 1) how to use the … up during an event, and 2) self- paced, interactive training materials and tools that will enable users to … this level of dialogue, as well as develop additional training tools to provide ongoing support for our users. …