We present a discrete time model for age-related changes in the mean a
nd variance of the number of helminth parasites per host. We assess th
e degree of aggregation as the negative binomial parameter, k, and use
the model to examine the influence of various factors on changes in a
ggregation with host age: discrete versus continuous infection; the de
gree of predisposition to infection; infection rate; parasite survival
rate; and the variance in exposure to infective stages. The model can
produce both increases and decreases in k with host age. However, wit
h parameter values typical of many human helminth infections, a monoto
nic increase in k (decrease in aggregation) with age is predicted. Wit
h an age-dependent infection rate, convex relationships between K and
age are possible. These predictions are consistent with data from fiel
d studies, but differ from those of previous models which have suggest
ed that k is independent of host age in the absence of density depende
nce in parasite population dynamics. Differences between the models, a
nd some difficulties in the interpretation of field data, are discusse
d.