Punch line - stop fetishizing IHME (and similar types of modeling procedures). Yes, their work is valuable, but it is not perfect.

And all of this work could be greatly improved by investing in local data and the statisticians who are the stewards of that work. 7/7
PS1 - I tweet this acknowledging the vulnerability of doing so. But in the spirit of scientific discourse, hopefully differing views leads to stronger approaches overall.
PS2 - I gave a talk a few years ago at the Joint Statistical Meetings on this topic, if anyone is interested to hear more.

"Making Inference in Global Health When There Is Limited (Or No) Data"

https://ww2.amstat.org/meetings/jsm/2019/onlineprogram/AbstractDetails.cfm?abstractid=300485
You can follow @BHedtGauthier.
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