A spatially explicit N-mixture model for the estimation of disease prevalence
Abstract
This article develops an approximate N-mixture model for infectious disease counts that accounts for under-reporting as well as spatial dependence induced by person-to-person spread of disease. We employ the model to estimate actual case counts in Oregon of chlamydia, an easily-treated but usually asymptomatic sexually transmitted disease. We describe a combined parametric bootstrap to account for uncertainty in parameter estimates as well as...
Paper Details
Title
A spatially explicit N-mixture model for the estimation of disease prevalence
Published Date
Jun 20, 2021
Journal
Volume
23
Issue
1
Pages
31 - 52
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