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Multivariate spatio-temporal modelling

Hi Andy,

I was just reading something you wrote about spBayes and was thinking about
emailing you for advice!

The data I currently have is 1000's of village locations with counts of
human disease (and population data, so I could calculate rates/prevalence)
over about 20 years - I'll probably take a sample of these villages for use
in the analysis rather than use all of them as there are probably too many.
I also have a number of locations (far less - probably about 30) with
livestock (reservoir for the parasite) prevalence data from various time
points. So the human data is more flexible - could be used as counts or
rates, but the animal data is a proportion, so would have to be used as a
binomial variable which might constrain the analysis to a binomial GLM.

My ideal scenario would be the ability to create a multivariate
spatio-temporal model with the primary aim of predicting human disease
(spatially, and also perhaps forecasting if possible) based on
environmental/climatic covariates, and also with the input of animal
prevalence information.  I'm only at the grant writing stage at the moment,
so wanted to check this is something which I can do before committing myself
to it!

My supervisor is very keen on the temporal aspect of the work. Personally
I'm more interested in incorporating animal sampling data to improve the
predictions as there is a big problem of under-reporting for this disease
(particularly in areas far from health centres), and I hope that the use of
animal sampling data could improve predictions.  I was hoping that we'd be
able to combine these two aims in one model...is that not possible? Also, do
you know what the limitations of the model fitting is in terms of number of
observation locations?

Sorry if my questions are a bit niave, but I have no experience of
spatio-temporal modelling and am just trying to get my head around what is
possible for this grant!

Thanks very much for your input,
Nicola




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-----Original Message-----
From: Andrew Finley [mailto:finleya at msu.edu] 
Sent: 24 March 2010 18:13
To: N.A.Batchelor at sms.ed.ac.uk
Subject: [R-sig-Geo] Multivariate spatio-temporal modelling

Hi Nicola,
Sorry to answer you off the list. One of my grad students forwarded your 
posting to me.

So based on your description you should be able to use spMvGLM to fit 
this model for any given time point (in its current state this function 
will not be able to fit a full space-time model). So at a given location 
you have disease counts for humans and animals (assuming humans != 
animals ;-)? Or do you have disease rates. If so would you want to fit a 
multivariate spatial binomial regression? Also how many data points do 
you have?

Feel free to answer back on the list (I'm now an official subscriber).
Kind regards-
Andy