Hey guys,
My lab is looking to apply a new computational technique to some diseases with high unmet need.
I've found however, that trying to establish what diseases have high unmet need on a systematic level is very difficult.
No matter where I look I cant seem to find a database that has.
Disease \t Prevalence \t Mortality \t (any bonus data)
Does anyone have any ideas for how to find this. Id like to end up with a way to rank the diseases so that either ones with large patient populations or ones with small patient populations but terrible quality of life or high mortality can be identified.
Any ideas would be super helpful, as I could then cross this list with OMIM and get genes for each....and start the road down to some good science of course.
Cheers,
Zach
Have you considered the CDC's "wonder" database? It's more oriented toward epidemiology, but at least you can get some useful mortality information from it.
I did, its very useful for infectious disease and select few others but not much on other things..... it is the kind of thing I'm looking for but just need something that is as comprehensive as ICD10 codes or OMIM
My only other guess would be to contact an insurance company, since they would have information on prevalence (don't know if they track mortality information).
Out of curiosity, how do you plan to establish quality of life impacts with disease? You could identify symptoms associated with those diseases but how do you account for severity, duration, co-occurrence and frequency?
It certainly isn't easy you're totally right, but the idea was to use metrics like "DALYs" (Disability adjusted life years). This will definitely be the hardest bit.
Did you ever find anything?