Topic:

Presenter: Dr. Geoffrey Jacquez

This lecture provides an overview of disease clustering methods. It opens with a discussion of the role of disease clustering in scientific inference, and then describes tests for temporal clustering, spatial clustering, and space-time interaction. These are presented within the framework of global, local and focused tests. Next, disease surveillance methods are described, and the lecture concludes with recommendations regarding hypothesis vs. data driven approaches.

OBJECTIVES: Those who successfully complete the module should

• have a better understanding of classical spatial and temporal statistics such as Scan tests, Cuzick and Edwards test, Score test, etc.;
• understand the difference between global, local, and focused cluster tests;
• understand the difference between space, time, and space-time tests; and
• appreciate how the Stat! and GeoMed software may be used to apply these tests.

• SCENARIO 1
• SCENARIO 2