I wonder if this will be useful: Modeling Good Research Practices—Overview: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-1 http://www.ispor.org/workpaper/Modeling_Methods/Modeling_Good_Research_Practices_Overview-1.pdf
It has quite a lot of best practices!
I’ve been watching as much as I can the Ebola outbreak in West Africa, and the role of epidemiological modeling in the response. The figure that most approaches start with is from here:
An important extension to the model appeared in a recent paper:
I had the opportunity to attend a days worth of talks on mathematical epidemiological modeling for new diagnostic technologies recently, something that I don’t have any experience with. It is interesting to see how similar areas approach similar problems differently. Certainly in my GBD 2010 descriptive epidemiology modeling work, I needed to cope with changes in diagnostic technology, for example a test for heart attacks developed in the 1990s led to detection of 50% more cases. But I never looked at things from the perspective of the diagnostic developer (or diagnostic investor).
If I were to start, it seems like the Nature series Improved Diagnostic Technologies for the Developing World is loaded with interesting approaches and results. It is several years old now, but it was never called to my attention before. I’m going to take a look at it.
Malaria infecting a mosquito
I’ve got at least 3 interesting blog posts worth of material on TCS applications for fighting malaria, but I haven’t had time to pen even one of them. Here is an abbreviated version:
Malaria is a major disease, something like the #3 infectious disease globally, and the #1 cause of both death and disability in many parts of Southern Africa.
The Gates Foundation is leading the charge to attempt to eradicate malaria from the world, and many national governments and NGOs are also involved in the fight.
There is a history of malaria eradication attempts, and the historic lesson is this: don’t start a fight with malaria unless you’re going to win.