Pg. Georgopoulos et Pj. Lioy, CONCEPTUAL AND THEORETICAL ASPECTS OF HUMAN EXPOSURE AND DOSE ASSESSMENT, Journal of exposure analysis and environmental epidemiology, 4(3), 1994, pp. 253-285
A formal, conceptual and mathematical framework for refining the chara
cterization of human exposure and dose, resulting from contact with a
toxicant, is introduced. The conceptual approach to the exposure chara
cterization process leads to a mathematical description necessary for
formalizing this process. Twelve steps are identified for guiding the
information collection, management, and analysis needs for characteriz
ation and estimation of exposure and dose. These steps are discussed i
n terms of ten general principles for exposure and dose assessment tha
t are related to: (1) The complicated character of exposure systems an
d models, (2) the need for using appropriate metrics associated with t
he exposure dynamics of individuals, populations and locations, (3) th
e need to consider exposure as a sequence of coupled events and system
s, (4) the need to treat exposure assessment as a dual prognostic and
diagnostic problem and (5) as a dual phenomenological and mechanistic
problem, (6) the fact that uncertainty in exposure characterization in
cludes both irreducible and reducible components that have to be quant
ified, (7) the need to specify probability distributions of exposures
for individuals and populations, (8) the need for implementing state-o
f-the-art computational data management methods for exposure related i
nformation, (9) the need to formally and thoroughly evaluate exposure
assessment modeling studies, and (10) the limitations in the exposure
characterization process that affect the current practice of risk asse
ssment. The theoretical approach described here represents an ''ideal'
' characterization model that will rarely, if ever, be fully implement
ed in practice. However, this approach offers a consistent and general
framework that can help identify specific needs for improvement in cu
rrent measurements and estimation practices, and move exposure assessm
ents closer to ''real'' exposure systems.