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Displaying results 1 - 5 of 5
  • Content Type: Abstract

    This paper describes the syndromic networks paradigm and its application to various surveillance settings.
    … consensus view is constructed for each node by combining all these perspectives. A full network is shown. The paper … [1 Reis BY, Kohane IS, Mandl KD, PLoS Med. 2007 Jun 26;4(6):e210 [2] Wetterhall SF, Coulombier DM, Herndon JM, … SARS-related perceptions in Hong Kong. Emerg Infect Dis 11: 417-424. Further Information: Ben Reis, …
  • Content Type: Abstract

    Bordetella Pertussis outbreaks cause morbidity in all age groups, but the infection is most dangerous for young infants. Pertussis is difficult to diagnose, especially in its early stages, and definitive test results are not… read more
    … Bordetella Pertussis outbreaks cause morbidity in all age groups, but the infection is most dangerous … Bordetella Pertussis outbreaks cause morbidity in all age groups, but the infection is most dangerous for … date exceeded 0.09 (13% sensitive, 53% specific, PPV 26%, NPV 94%, AROC 0.65). Cyano- sis, cough for at least one …
  • 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
    … adjusted by the variance of the availability models. For all three approaches, we set a benchmark specificity of 95%. … 1) yields good detection sensitivity but poor timeliness, due to the delays in data availability. Using the ex- … dramatically, but the detection sensitivity is re- duced due to the variance of the extrapolation mod- els. Using the …
  • Content Type: Abstract

    While traditional means of surveillance by governments, multi-national agencies, and institutional networks assist in reporting and confirming infectious disease outbreaks, these formal sources of information are limited by their… read more
    … REFERENCES 1.D. L. Heymann, G. R. Rodier, Lancet Infect Dis 1, 345-53 (Dec, 2001). 2.World Health Organization …
  • Content Type: Abstract

    We have previously shown that timeliness of detection is influenced both by the data source (e.g., ambulatory vs. emergency department) and demographic characteristics of patient populations (e.g., age). Because epidemic waves are thought to… read more
    … analysis was used to find the estimated phase shift (i.e., lag or lead time) between the underlying yearly …