A method of probability diagnostic assignment that applies Bayes theorem for use in serologic diagnostics, using an example of Neospora caninum infection in cattle

Mark Thurmond, Wesley O. Johnson, Claudia A. Muñoz-Zanzi, Chun Lung Su, Sharon K. Hietala

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Objective-To develop a method of probability diagnostic, assignment (PDA) that uses continuous serologic measures and infection prevalence to estimate the probability of an animal being infected, using Neospora caninum as an example. Animals-196 N caninum-infected beef and dairy cattle and 553 cattle not infected with N caninum; 50 dairy cows that aborted and 50 herdmates that did not abort. Procedure-Probability density functions corresponding to distributions of N caninum kinetic ELISA results from infected and uninfected cattle were estimated by maximum likelihood methods. Maximum likelihood methods also were used to estimate N caninum infection prevalence in a herd that had an excessive number of abortions. Density functions and the prevalence estimate were incorporated into Bayes formula to calculate the conditional probability that a cow with a particular ELISA value was infected with N caninum. Results-Probability functions identified for infected and uninfected cattle were Weibull and inverse gamma functions, respectively. Herd prevalence was estimated, and probabilities of N caninum infection were determined for cows with various ELISA values. Conclusions and Clinical Relevance-Use of PDA offers an advantage to clinicians and diagnosticians over traditional seronegative or seropositive classifications used as a proxy for infection status by providing an assessment of the actual probability of infection. The PDA permits use of all diagnostic information inherent in an assay, thereby eliminating a need for estimates of sensitivity and specificity. The PDA also would have general utility in interpreting results of any diagnostic assay measured on a continuous or discrete scale.

Original languageEnglish (US)
Pages (from-to)318-325
Number of pages8
JournalAmerican Journal of Veterinary Research
Volume63
Issue number3
DOIs
StatePublished - Mar 1 2002

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Neospora
Bayes Theorem
Neospora caninum
Bayesian theory
cattle
Infection
infection
methodology
Enzyme-Linked Immunosorbent Assay
enzyme-linked immunosorbent assay
herds
cows
abortion (animals)
Proxy
assays
beef cattle
dairy cattle
animals
dairy cows

ASJC Scopus subject areas

  • veterinary(all)

Cite this

A method of probability diagnostic assignment that applies Bayes theorem for use in serologic diagnostics, using an example of Neospora caninum infection in cattle. / Thurmond, Mark; Johnson, Wesley O.; Muñoz-Zanzi, Claudia A.; Su, Chun Lung; Hietala, Sharon K.

In: American Journal of Veterinary Research, Vol. 63, No. 3, 01.03.2002, p. 318-325.

Research output: Contribution to journalArticle

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