A number of chemical contaminants have been identified in drinking water. T
hese contaminants reach drinking water supplies from various sources, inclu
ding municipal and industrial discharges, urban and I ural run-off, natural
geological formations, drinking water distribution materials and the drink
ing water treatment process. Chemical contaminants for which epidemiologic
studies have reported associations include the following: aluminium, arseni
c, disinfection by-products, fluoride, lead, pesticides and radon. Health e
ffects reported have included various cancers, adverse reproductive outcome
s, cardiovascular disease and neurological disease. In evaluating epidemiol
ogic studies for risk assessment, considering whether the study design was
qualitative (hypothesis generating) or quantitative (hypothesis testing) is
important and whether sufficient epidemiologic data of a quantitative natu
re exists to determine the dose-response curve. Each of the chemical contam
inants mentioned are summarized by study designs (qualitative and quantitat
ive) and whether a dose-response curve based on epidemiologic data has been
proposed. Environmental epidemiology studies are driven by environmental e
xposures of interest. For drinking water contaminants, the design of epidem
iologic studies and their interpretation should consider the following expo
sure issues: the source of the contaminant: other sources of the contaminan
t; the route of exposure; the frequency, duration and magnitude of exposure
; the ability to document an actual internal dose; and the ability to docum
ent the dose to the target organ. Health effects of concern have other risk
factors that must be measured in the conduct of these studies. In evaluati
ng epidemiologic studies, potential errors and biases that may occur must b
e considered given the very low magnitude of associations (less than 2.0 fo
r either odds ratio or risk ratio). Given the issues. the next generation o
f drinking water epidemiologic studies should include a multidisciplinary t
eam beyond traditional epidemiologists and statisticians. Study teams will
require toxicologists, chemists, engineers and exposure assessors. Arsenic
is briefly discussed as an example of the importance of susceptible populat
ions. Disinfection by-products are discussed as an example of epidemiologic
studies of mixtures. Published by Elsevier Science Ltd.