Displaying results 1209 - 1216 of 1300
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Using clinician mental models to guide annotation of medically unexplained symptoms and syndromes found in VA clinical documents
Content Type: Abstract
Medically unexplained syndromes (MUS) are conditions that are diagnosed on the basis of symptom constellations and are characterized by a lack of well-defined pathogenic pathways. The three most common MUS are chronic fatigue … read more -
Placing surveillance in a preparedness business process framework
Content Type: Abstract
Most public health workers could reach agreement on the general functions and operations regarding public health’s traditional operations, such as food safety inspections, outbreak investigations, or immunization clinics. However, there is much less… read more -
Population-based surveillance for methicillin-resistant Staphylococcus aureus infections among high school football and wrestling participants—Nebraska, 2008–2010
Content Type: Abstract
MRSA, which had been known primarily as a cause of healthcare-associated infections, increasingly has been recognized as a cause of skin infections among persons of all ages who have little or no contact with healthcare settings. Such infections are… read more -
Population-based, pathogen-specific surveillance in Utah
Content Type: Abstract
Epidemiological information realized by modern disease surveillance systems offers great potential for supporting clinical decision-making. Providing health practitioners with population-based, pathogen-specific information about regional… read more -
Prospective space-time analysis of the 2007 cryptosporidiosis outbreak, Salt Lake County, Utah
Content Type: Abstract
Cryptosporidiosis is a gastrointestinal illness due to a protozoan parasite that is highly contagious, and resistant to multiple disinfectants. Utah experienced a large, community-wide outbreak of cryptosporidiosis between June and December of 2007… read more -
Applications of Likelihood-based inference with non-mechanistic and mechanistic models in infectious disease modeling
Content Type: Webinar
Presented June 21, 2019. In this talk, Dr. Daihai He presents his recent works on applications of likelihood-based inference with non-mechanistic and mechanistic models in infectious disease modeling. Examples include modeling of the transmission… read more -
Quantifying the relationship between influenza-related emergency department visits and hospital admissions in BioSense
Content Type: Abstract
Real-time emergency department (ED) data from the BioSense surveillance program for ILI visits and ILI admissions provide valuable insight into disease severity that bridges gaps in traditional influenza surveillance systems that monitor ILI in… read more -
Quantifying the potential benefit of early detection for preventing morbidity and mortality: a simulation study of cryptosporidium outbreak
Content Type: Abstract
Many studies evaluate the timeliness and accuracy of outbreak detection algorithms used in syndromic surveillance. Of greater interest, however, is defining the outcome associated with improved detection. In case of a waterborne cryptosporidiosis… read more