Dear all,
I'm looking for a spatio temporal model to be applied to epidemiological
data.
Tipically, I have a dependent variable with informations about cases of a
certain disease (sometime it's only binary like presence/absence, sometimes
only number of cases with or without number of tested units/population at
risk), spatially and temporally located, and a series of covariates like
satellite images (NDVI and/or LST).
The model should allow the identification of risk factors (significant
covariates) and the prediction of probability of having outbreak for a given
time/location/covariate values.
Does anyone know which is the best model for this data structure?

Thanks,
Luca.

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