Considerable interest exists in the potential role climate may play in huma
n health issues, especially regarding the effect of climate change on vecto
r-borne disease. The Aedes aegypti mosquito, the principal vector for dengu
e, considered the most important vector-borne viral disease in the world, i
s particularly susceptible to climate variability and climatic change. Here
we present a modeling analysis focusing on global-scale associations betwe
en climate and the development, potential distribution, and population dyna
mics of Ae. aegypti. We evaluate the model by comparing and contrasting mod
el data with observed mosquito densities. There is good agreement between t
he observed and modeled global distribution of the mosquito; however, the m
odel results suggest the potential for increased latitudinal distributions
during warmer months. Seasonal fluctuations in mosquito abundance also comp
are well to observed data. Discrepancies possibly reflect the relatively lo
w resolution of the climate data and model output and the inability of the
model to account for local microclimate effects, especially in coastal area
s. Future modeling efforts will involve study of interannual variability in
mosquito dynamics.