This module is intended for students interested in the application of spatial epidemiology methods to improve control of infectious diseases. The module focuses (but not exclusively) on environmentally driven and povertyassociated infectious diseases. Students join from multiple disciplines, including data science, epidemiology and public health.

This is a quantitative module with a lot of practical computer-based sessions. A willingness to carry out quantitative data analysis is essential and good basic computing skills are needed. Statistical teaching is performed in R for this module. Although students are not expected to have prior knowledge of R, some familiarity is highly advisable. For this reason, students are encouraged to take some of the introductory R courses LSHTM offers throughout Terms 1 and 2. Although not essential, students are recommended to have taken both Extended Epidemiology (2007) and Statistical Methods in Epidemiology (2402).