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Sampling and estimation techniques f...
~
Wagner, Bruce Alan.
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Sampling and estimation techniques for surveillance and monitoring.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Sampling and estimation techniques for surveillance and monitoring./
作者:
Wagner, Bruce Alan.
面頁冊數:
193 p.
附註:
Source: Dissertation Abstracts International, Volume: 64-05, Section: B, page: 2073.
Contained By:
Dissertation Abstracts International64-05B.
標題:
Biology, Veterinary Science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3092700
Sampling and estimation techniques for surveillance and monitoring.
Wagner, Bruce Alan.
Sampling and estimation techniques for surveillance and monitoring.
- 193 p.
Source: Dissertation Abstracts International, Volume: 64-05, Section: B, page: 2073.
Thesis (Ph.D.)--Colorado State University, 2003.
The primary objective of this dissertation was to examine the validity of underlying assumptions of sampling methodologies in the context of antimicrobial susceptibility and surveillance and monitoring for animal diseases.Subjects--Topical Terms:
1021733
Biology, Veterinary Science.
Sampling and estimation techniques for surveillance and monitoring.
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The primary objective of this dissertation was to examine the validity of underlying assumptions of sampling methodologies in the context of antimicrobial susceptibility and surveillance and monitoring for animal diseases.
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Antimicrobial resistance patterns from <italic>Escherichia coli</italic> isolates obtained from rectal samples from feedlot cattle did not differ from isolates obtained from pen floor fecal samples. Little pen-to-pen variation in resistance prevalence was observed but clustering of resistance phenotypes within pens and samples was detected. Pooling of fecal samples yielded resistance patterns that were consistent with those of single fecal samples when the antimicrobial resistance prevalence was >2 percent. Pooling may be practical when investigating patterns of resistance that are not rare.
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Short-term repeatability of antimicrobial susceptibility patterns was examined by collecting fecal samples from feedlot pens on two sampling occasions separated by 48 hours. Resistance to individual antimicrobials was consistent across periods and individual/pooled samples when resistance prevalence was at least 2 percent. Apparent inconsistencies with rare resistance phenotypes appeared to be related to sampling intensity rather than external factors.
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Factor analysis was used to explore resistance and susceptibility patterns of the minimum inhibitory concentration data for the 17 antimicrobials tested on <italic>E. coli</italic> isolates. Factor analysis revealed patterns in the MIC data would not have been apparent if the antimicrobial-resistance data had categorized as susceptible/resistant.
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The impact of the distribution of the within-herd prevalence as determined by animal-level prevalence and the intracluster correlation coefficient on herd-level sensitivity and specificity was modeled. A sample size formula, dependent on herd-level sensitivity and specificity, was proposed for estimating herd-level prevalence in a two-stage sampling design. Examples of sampling designs were created to evaluate the model and the sample size formula. The use of a distribution for within-herd prevalence resulted in a conservative estimate of herd-level test characteristics. The model allows researchers to trade off between the number of herds and the number of animals sampled by manipulating herd-level test characteristics.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3092700
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