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Displaying results 177 - 184 of 255
  • The Big Picture: Using Antibiotic Use and Surveillance Data to Better Inform Stewardship in Healthcare Settings

    Content Type: Webinar

    The Centers for Disease Control and Prevention (CDC) estimates that antibiotic-resistant infections affect 2 million people and cause 23,000 deaths annually in the United States. It is well documented that the primary driver of antibiotic resistance… read more
    … Ann Family Med 2015; 13(3) 221-7. Communication training as a public health intervention? � Enhanced communications training reduces antibiotic prescribing for respiratory … and feedback � Clinical decision support � Communications training � Public commitments � Combined interventions are …
  • Modeling surveillance networks for Human African Trypanosomiasis control in Northern Uganda

    Content Type: Case Study

    The multiple forms of Human African Trypanosomiasis (human T.b. gambiense and zoonotic T.b. rhodesiense, as well as the several strains which cause disease in animals) that occur in Uganda make coordinating the scientific and developmental, human… read more
    … _X__ Cross-Agency Communication and Collaboration _X__ Training and Resources _X__ Technologies and Methodologies … levels in remote areas at most risk. • More frequent training of health staff at front-line facilities is needed …
  • 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 …
  • 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 …
  • Sensitivity and Specificity of an Ngram Method for Classifying Emergency Department Visits into the Respiratory Syndrome in the Turkish Language

    Content Type: Abstract

    Previously we developed an “Ngram” classifier for syndromic surveillance of emergency department (ED) chief complaints (CC) in Turkish for bioterrorism. The classifier is developed from a set of ED visits for which both the ICD… read more
    … AT&T Labs applied to the first 10 months of data as a training set to create a Turkish CC RESP classifier. We next …
  • 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 …
  • Implementation of a Syndromic Surveillance System Using a General Practitioner's House Calls Network

    Content Type: Abstract

    Recent health events in France, such as the dramatic excess of mortality occurred during the 2003 heat wave showed the need for a better provision of information to health authorities. A new syndromic surveillance system based on the… read more
    … (Cire),Bordeaux, France (2) French Field Epidemiology Training Programme (PROFET), InVS, ENSP, France (3) SOS …
  • 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 • …