Assessment of the human health risk posed by global climate change pre
sents a new challenge to public health professionals. In contrast to c
onventional toxicological risk assessment, the health risk assessment
related to global climate change must analyze stressors that consist o
f complex interrelated climate factors and risks that are mediated thr
ough intermediate species in varying ecosystems. A framework for ecolo
gically based human health risk assessment helps distinguish the conce
pts of global climate change risk assessment from conventional risk as
sessment. Specific methods for linking climate variables with human di
sease include historical analysis of climate and disease data and the
development of integrated mathematical models. Two historical climate-
disease studies of malaria in Africa provide a starting point for furt
her analysis. Early approaches to evaluating the human health risks fr
om global climate change will include simple mapping of disease bounda
ries and climate factors. Computer-based geographical information syst
em (GIS) technology will assist in the organization and analysis of cl
imate, environment and disease data. Ultimately, complex integrated ma
thematical models may provide quantitative estimates of risk, but thes
e models have not yet been validated. The collection of geographically
organized relevant data through either field work or remote sensing t
echnology will both help validate comprehensive integrated models and
enhance our understanding of the associations between climate change a
nd human health.