video1.0<iframe src="https://www.loom.com/embed/2c4ca5e7d86b4b75a695fdc82fff31d1" frameborder="0" width="1152" height="864" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>8641152Loomhttps://www.loom.com8641152https://cdn.loom.com/sessions/thumbnails/2c4ca5e7d86b4b75a695fdc82fff31d1-1711403745011.gif237.033In this video, I discuss the simulation results and design characteristics for our project. I explain how we set our success criteria, estimated prevalence, and starting load. I also talk about the number of houses and samples per house for the pre- and post-intervention. The simulations help us understand the probability of detecting a one-log reduction and the importance of starting assumptions. I highlight the need for prior knowledge or a small pretrial to inform the models. Finally, I mention the benefits of running simulations, such as trying different characteristics and cost estimation.