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

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

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.

Suggested Citation

  • Walsh, Andrew S. & Louis, Thomas A. & Glass, Gregory E., 2007. "Detecting multiple levels of effect during survey sampling using a Bayesian approach: Point prevalence estimates of a hantavirus in hispid cotton rats (Sigmodon hispidus)," Ecological Modelling, Elsevier, vol. 205(1), pages 29-38.
    • Handle: RePEc:eee:ecomod:v:205:y:2007:i:1:p:29-38
    DOI: 10.1016/j.ecolmodel.2007.01.016
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    References listed on IDEAS

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    1. de Frutos, Ángel & Olea, Pedro P. & Vera, Rubén, 2007. "Analyzing and modelling spatial distribution of summering lesser kestrel: The role of spatial autocorrelation," Ecological Modelling, Elsevier, vol. 200(1), pages 33-44.
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