Bivariate Binomial Spatial Modeling of Loa loa Prevalence in Tropical Africa
热带非洲罗阿丝虫患病率的二元二项空间建模
We present a state-of-the-art application of smoothing for dependent bivariate binomial spatial data to Loa loa prevalence mapping in West Africa. This application starts with the nonspatial calibration of survey instruments, continues with the spatial model building and assessment, and ends with robust, tested software intended for use by field workers for online prevalence map updating. From a statistical perspective, we address several important methodological issues:…