Dear All,
We have a health intervention on malaria in children in a few African
countries. We have developed algorithms for each country to diagnose
malaria.
In one of the countries there is a "heavy" intervention and the Ministry of
Health there reckons malaria incidence and prevalence will drop by about 20%
by 2005. When that happens, the sensitivity of the algorithm developed will
be reduced.
To see if the current algorithm will still work, is it statistically
"legitimate" either to (1) take out some malaria positives to reduce
prevalence or even (2) change some of the positives to negatives to reduce
prevalence?.
Thanks
Cathy Smith.
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