Fine Scale Replicable Risk Mapping in an Informal Settlement: A Case Study of Mathare, Nairobi.

Slums and informal settlements continue to pose considerable health challenges, mostly associated with the unavailability of basic amenities and proper waste management. While mapping where risks occur, such as the location of features associated with disease is obviously beneficial, the spatial data required is frequently not available, especially on a continuous basis. In this paper, we employ a robust, cost-effective, and efficient means of monitoring for these types of environments, using the Mathare SIS in Kenya as an illustration.