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This lecture by the instructor focuses on the design and analysis of prevalence surveys for neglected tropical diseases, covering topics such as geostatistics, logistic regression, extra-binomial variation, and geostatistical prediction. The lecture also delves into the application of model-based geostatistics in global public health, with examples from onchocerciasis and lymphatic filariasis. Various methodological extensions are discussed, including adaptive design, multiple diagnostics, and spatio-temporal models. Through simulated examples and real-world case studies, the lecture emphasizes the importance of principled statistical methods in addressing the challenges of disease prevalence estimation and control.