Topic:
Disease Clusters (Parts I
and
II)
OVERVIEW and OBJECTIVES
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.
SCENARIOS FOR DISCUSSION
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