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Figure 1.3, cont'd
of the estimates for each location was that this process smoothed out the
patchy nature of malaria endemicity.
Use of parasite prevalence data . It is important that our estimates were based
on real data, with a mathematical model that compensated for the fact that
the real data were neither comprehensive nor universally contemporary.
The most commonly available metric from almost all countries is preva-
lence (often referred to as parasite rate (PR)), estimated from surveys that
are conducted using a common methodology ( Hay et al., 2008 ). Prevalence
data are relatively robust but have the disadvantage that required sample
sizes become prohibitively large when prevalence rates are low.
Use of clinical incidence data . Annual clinical incidence per 1000 people
(commonly referred to as annual parasite incidence (API) data) from public
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