Biology Reference
In-Depth Information
a much enhanced focus on the neglected tropical diseases demands that
efforts to intervene on large scales in specific countries are based on
designs that get the most benefit for the use of a defined quantity of
treatment. At present, much treatment is dispensed with little quantita-
tive analysis of who to treat and how often (see Table 9.1 ). Mathematical
models, especially age-structured formulations and individual-based
stochastic models could be used more frequently to design optimal
community-based treatment programs given the availability of a known
drug availability resource. Such models could be put in user friendly
software packages (with appropriate health warnings on assumptions
and uncertainties about parameter estimates) to help policy makers in the
design of control programs. The new generation of young epidemiologist
and public health workers is much more familiar with the use of math-
ematical and statistical methods in biology and medicine, and may have
been exposed to courses with mathematical modeling content. It is to be
hoped that they will lead a move to base control policy design on calcu-
lation as well as verbal discussion.
Acknowledgments
RMA, TDH, and JET acknowledge the Bill and Melinda Gates Foundation for research grant
support.
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