Prevalence Surveys for Neglected Tropical Diseases

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.