Abstract

The first N-mixture models were designed to estimate animal population abundance from spatially and temporally replicated counts, where the probability of detecting an individual animal is an unknown number less than one. I will trace the development of N-mixture models from this original problem to the problem of estimating disease prevalence using a spatially explicit model. I will apply the spatial model to estimate the number of chlamydia cases in Oregon using annual data from 2007 through 2016.

Notice: This Colloquia will be held virtually via Zoom.

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