Details:

Alternative Title:
Emerg Infect Dis
Publisher's site:
http://dx.doi.org/10.3201/eid1001.020764
Personal Author:
Wolfe, Mitchell I.; Nolte, Kurt B.; Yoon, Steven S.;
Wolfe, Mitchell I.; Nolte, Kurt B.; Yoon, Steven S.; Less -
Description:
Increasing infectious disease deaths, the emergence of new infections, and bioterrorism have made surveillance for infectious diseases a public health concern. Medical examiners and coroners certify approximately 20% of all deaths that occur within the United States and can be a key source of information regarding infectious disease deaths. We hypothesized that a computer-assisted search tool (algorithm) could detect infectious disease deaths from a medical examiner database, thereby reducing the time and resources required to perform such surveillance manually. We developed two algorithms, applied them to a medical examiner database, and verified the cases identified against the opinion of a panel of experts. The algorithms detected deaths with infectious components with sensitivities from 67% to 94%, and predictive value positives ranging from 8% to 49%. Algorithms can be useful for surveillance in medical examiner offices that have limited resources or for conducting surveillance across medical examiner jurisdictions.
Subject:
[+]
Algorithms
Communicable Diseases
Communicable Diseases, Emerging
Coroners And Medical Examiners
Databases, Factual
Humans
Population Surveillance
Research
Sensitivity And Specificity

Source:
Emerg Infect Dis. 10(1):48-53.;
Document Type:
Journal Article;
Place as Subject:
New Mexico;
Collection(s):
Emerging Infectious Diseases
Main Document Checksum:
[+]
urn:sha256:791e1c322b23ff8b3cdfd6fdb5a8c2e689a47188ccffb8d6afc8a4f043361d35
File Type:

Supporting Files

• 	license.txt	txt
  	02-0764-F1.gif	gif
  	02-0764-F1.jpg	jpeg
  	02-0764-F2.gif	gif
  	02-0764-F2.jpg	jpeg
  	02-0764-F3.gif	gif
  	02-0764-F3.jpg	jpeg
  	02-0764_app-s1.pdf	pdf
  	02-0764_FinalR.nxml	txt

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