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Erschienen in: EcoHealth 2/2019

05.03.2019 | Original Contribution

Syndromic Surveillance of Respiratory Disease in Free-Living Chimpanzees

verfasst von: Tiffany M. Wolf, Randall S. Singer, Elizabeth V. Lonsdorf, Richard Maclehose, Thomas R. Gillespie, Iddi Lipende, Jane Raphael, Karen Terio, Carson Murray, Anne Pusey, Beatrice H. Hahn, Shadrack Kamenya, Deus Mjungu, Dominic A. Travis

Erschienen in: EcoHealth | Ausgabe 2/2019

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Abstract

Disease surveillance in wildlife is rapidly expanding in scope and methodology, emphasizing the need for formal evaluations of system performance. We examined a syndromic surveillance system for respiratory disease detection in Gombe National Park, Tanzania, from 2004 to 2012, with respect to data quality, disease trends, and respiratory disease detection. Data quality was assessed by examining community coverage, completeness, and consistency. The data were examined for baseline trends; signs of respiratory disease occurred at a mean frequency of less than 1 case per week, with most weeks containing zero observations of abnormalities. Seasonal and secular (i.e., over a period of years) trends in respiratory disease frequency were not identified. These baselines were used to develop algorithms for outbreak detection using both weekly counts and weekly prevalence thresholds and then compared retrospectively on the detection of 13 respiratory disease clusters from 2005 to 2012. Prospective application of outbreak detection algorithms to real-time syndromic data would be useful in triggering a rapid outbreak response, such as targeted diagnostic sampling, enhanced surveillance, or mitigation.
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Metadaten
Titel
Syndromic Surveillance of Respiratory Disease in Free-Living Chimpanzees
verfasst von
Tiffany M. Wolf
Randall S. Singer
Elizabeth V. Lonsdorf
Richard Maclehose
Thomas R. Gillespie
Iddi Lipende
Jane Raphael
Karen Terio
Carson Murray
Anne Pusey
Beatrice H. Hahn
Shadrack Kamenya
Deus Mjungu
Dominic A. Travis
Publikationsdatum
05.03.2019
Verlag
Springer US
Erschienen in
EcoHealth / Ausgabe 2/2019
Print ISSN: 1612-9202
Elektronische ISSN: 1612-9210
DOI
https://doi.org/10.1007/s10393-019-01400-y

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