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Displaying results 209 - 216 of 255
  • Towards Integrated Syndromic Surveillance in Europe?

    Content Type: Webinar

    Triple - S is a project co-financed by the European commission through the Executive Agency for Health and Consumers. THe project encompasses an inventory of existing and proposed syndromic surveillance systems in Europe, including country visits… read more
    … Those considering and developing systems require training in syndromic data sources A framework rather than …
  • Mining Intensive Care Vitals for Leading Indicators of Adverse Health Events

    Content Type: Abstract

    The status of each Intensive Care Unit (ICU) patient is routinely monitored and a number of vital signs are recorded at sub-second frequencies which results in large amounts of data. We propose an approach to transform this stream of raw vital… read more
    … each type of these automatically extracted events using training data, which contain actual health alerts, in …
  • Web Search Query Data to Monitor Dengue Epidemics: a New Model for Dengue Surveillance

    Content Type: Abstract

    With an estimated 500 million people infected each year, dengue ranks as one of the most significant mosquito-borne viral human diseases, and one of the most rapidly emerging vectorborne diseases. A variety of obstacles including bureaucracy and… read more
    … prior to model fitting. The final models, fit using a training subset of the data, were cross-validated against …
  • Electronic Tracking of Influenza-like Illness Incidence in an Outpatient Population

    Content Type: Abstract

    Using an electronic health record (EHR) system, we tracked an outpatient population from a series of primary care providers to identify influenza-like illness (ILI) as part of a multi-state effort directed by the Centers for Disease Control and… read more
    … denomi- nator along with the number of ILI cases. Proper training and selecting the right practice played a large …
  • FITS - Flu Immunization Tracking System: Capturing County Level Data to Inform Public Health Practice

    Content Type: Abstract

    Historically, it has been the role of local health departments to administer, monitor, and report flu vaccinations of its residents to the state health department. In 2009, the looming threat of an influenza outbreak (H1N1) led to the extension of… read more
    … health professionals were invited to a system users training to orient them with the system, record management …
  • Linking Informatics and Cross-Programmatic Public Health Strategic Objectives

    Content Type: Abstract

    There is national recognition of the need for cross-programmatic data and system coordination and integration for surveillance, prevention, response, and control implementation. To accomplish this public health must develop an informatics competency… read more
    … a common informatics lexicon and workforce engagement and training are critical to public health, especially for …
  • Use of Cell-Phones to Strengthen Malaria Surveillance-Response Systems of Bangka/Belitung, Indonesia - A proposal

    Content Type: Abstract

    The Government of Indonesia (GoI) aims to eliminate Malaria by 2030 in 4 stages (Wismarini, 2009. To reach the elimination phase High Case Incidence (HCI) areas go through a pre-elimination phase. The aim of the proposed project is to support one of… read more
    … management (HMM) data reporting by households. 3) To train village midwifes or village malaria workers (VM/ MW) … examination by the HC parasitology microscopist. 4) To train HC parasitology microscopists to perform microscopic … Lab for reliability testing. 6) To provide consultations, training and resources for the D/ MHOs to facilitate the …
  • National Health Insurance: a new application for non-specific surveillance in Reunion Island

    Content Type: Abstract

    In Reunion Island, the non-specific surveillance was mainly developed during A(H1N1) influenza pandemic in 2009. In March 2010, a new surveillance system was implemented from National Health Insurance data. This monitoring was based on the weekly… read more
    … were calculated during these 134 weeks, using a training period of at least 3 years. A 95% confidence …