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Displaying results 649 - 656 of 826
  • Content Type: Abstract

    Advanced surveillance systems require expertise from the fields of medicine, epidemiology, biostatistics, and information technology to develop a surveillance application that will automatically acquire, archive, process and present data to the user… read more
    … Department Chief Complaint Records, PHIN 2005, http://www.cdc.gov/phin/05conference/05-12-05/8A_Feighner.pdf. [2] …
  • Content Type: Abstract

    Influenza epidemics occur seasonally, impose a high economic burden on the health care system, and are responsible for substantial morbidity and mortality (1). The past century has seen three influenza A pandemics with variable severity. The recent… read more
    … Health Organization 2003;Available from: URL: http://www.who.int/mediacentre/factsheets/fs211/en/ (2) Girard MP, …
  • Content Type: Abstract

    Determine if poor air quality resulting from wildfires could be measured in the general population by monitoring smoke-related respiratory Emergency Department (EDs) visits.
    … Smoke A Guide for Public Health Officials URL: http://www.arb.ca.gov/smp/progdev/pubeduc/wfgv8.pdf Advances in …
  • Content Type: Abstract

    The performance of even the most advanced syndromic surveillance systems can be undermined if the monitored data is delayed before it arrives into the system.  In such cases, an outbreak may be detected only after it is too late for appropriate… read more
    … component of the PHIN Prepared- ness specifications. www.cdc.gov/phin/preparedness/eed.html [2] Reis, B.Y., …
  • Content Type: Abstract

    This paper presents an investigation using data mining techniques to model patterns of influenza from positive case demographics, symptoms and laboratory tests.
    … system. Mil Med. 2000 Jul;165(7 Suppl 2):52-6. [5] www.cs.waikato.ac.nz Advances in Disease Surveillance …
  • Content Type: Abstract

    The use of spatially-based methods and algorithms in epidemiology and surveillance presents privacy challenges for researchers and public health agencies. We describe a novel method for anonymizing individuals in public health datasets, by… read more
    … Information: Christopher Cassa, cassa@mit.edu http://www.chip.org/ Advances in Disease Surveillance 2006;1:10 …
  • Content Type: Abstract

    To evaluate four algorithms with varying baseline periods and adjustment for day of week for anomaly detection in syndromic surveillance data.   read more
    … User Guide, version 2.06 (September 2006), at http://0- www.cdc.gov.mill1.sjlibrary.org/biosense, 2007. 3. CR …
  • Content Type: Abstract

    The evolution of a communicable disease in a human population is not entirely predictable. However, the spreading process can be assumed to vary smoothly in time. The time-dependent infection process can be linked to observations of… read more
    … C Safta et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 5757 …