An Integrative Metaregression Framework for Descriptive Epidemiology – http://www.amazon.com/Integrative-Metaregression-Descriptive-Epidemiology-Publications/dp/0295991844
Category Archives: disease modeling
A fun pointer I picked up at the eScience institute recently is where to find constants in python: scipy.constants http://docs.scipy.org/doc/scipy/reference/constants.html
or, if you fancy units, astropy.constants http://docs.astropy.org/en/stable/constants/index.html
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 used to keep up so well with the weekly IHME seminars on this blog. They are still weekly, but now they come too fast for me to capture… I guess it’s me.
There have been a few recently that really need to be mentioned, however, such as last week’s presentation on mapping *all* infectious diseases globally. Audacious project by Simon Hay: http://www.healthdata.org/video/mapping-global-distribution-all-infectious-disease
Journal Club: Transmission Assessment Surveys (TAS) to Define Endpoints for Lymphatic Filariasis Mass Drug Administration: A Multicenter Evaluation
While I’m catching up on journal club reading, two weeks ago we discussed Chu et al, Transmission Assessment Surveys (TAS) to Define Endpoints for Lymphatic Filariasis Mass Drug Administration: A Multicenter Evaluation, which takes on the question of how to decide when it is safe to stop a massive disease elimination program. This work must rely on some cool mathematical epi modeling, to say how many years of what level of coverage is necessary before you can hope the LF is gone.
This week in journal club we are discussing Rudan et al, Epidemiology and etiology of childhood pneumonia in 2010. This description of an estimation method comes with an 80 page spreadsheet showing the calculation!
Papers on with results from some of my favorite models from the GBD 2010 appeared this week:
Degenhardt et al, Global burden of disease attributable to illicit drug use and dependence: findings from the Global Burden of Disease Study 2010, http://www.thelancet.com/journals/lancet/article/PIIS0140-6736(13)61530-5
Whiteford et al, Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010, http://www.thelancet.com/journals/lancet/article/PIIS0140-6736(13)61611-6
It is just the kind of stuff to generate catchy health news headlines.