Detecting multiple levels of effect during survey sampling using a Bayesian approach: Point prevalence estimates of a hantavirus in hispid cotton rats (Sigmodon hispidus)

Andrew S. Walsh, Thomas A. Louis and Gregory E. Glass

Ecological Modelling, 2007, vol. 205, issue 1, 29-38

Abstract: Interpreting the results of survey samples of animals for zoonotic agents can be confounded by factors acting at various levels of scale. It is difficult to control for the numbers or characteristics of individuals surveyed even with standardized sampling. The survey results at any site may reflect the impact of individual level (e.g. age, gender) factors, local environmental conditions, and landscape structure. Incorporating these different scales to characterize more accurately prevalence estimates from survey results is problematic.

Keywords: Bayesian modeling; Hantavirus; Conditional autoregressive model; Black Creek Canal Virus; Cotton rat; Sigmodon hispidus (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:205:y:2007:i:1:p:29-38

DOI: 10.1016/j.ecolmodel.2007.01.016

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