The video, part of a series "Tackling Global Challenges with GIS," presents research on how multidimensional space-time geospatial analysis can be used to examine malaria trends in Kenya over a 20-year period, from 2000 to 2020. Utilizing data from the Malaria Atlas Project (MAP), Emerging Hotspot Analysis (EHA) and Local Hotspot Analysis (LHA) were used to identify the spatial distribution and temporal changes of malaria prevalence, incidence, and mortality. The study reveals a general decline in malaria prevalence across Kenya but notes that the spatial distribution is changing, with the persistence of high-burden areas primarily in cross-border regions. Furthermore, the analysis evaluates the effectiveness of interventions, finding an overall increase in the use of bed nets and antimalarials coinciding with the decrease in malaria rates in most identified zones. Ultimately, the methods used are presented as valuable tools for refining malaria elimination strategies by providing insights into localized trends and risks, particularly concerning cross-border disease transmission.