This package implements a method to estimate influenza-attributable mortality, and also mortality attributable to ambient temperatures, using distributed lag nonlinear models. These models allow addressing the lag dimension of mortality, and provide for a more detailed adjustment for the confounding effect of temperature in the relationship between influenza and mortality.
To fit a FluMoDL one needs to have:
These should all cover the same time period.
The package provides functions to facilitate fitting a FluMoDL, summarizing and plotting the results of the analysis, and calculating attributable mortalities (including empirical 95% Confidence Intervals). It also includes the capability to pool analytical results together and calculate attributable mortalities based on BLUP (Best Unbiased Linear Predictor) estimates.
Installation
Packages 'dlnm' and
'mvmeta', by Antonio Gasparrini are the only
dependencies for the FluMoDL package. You need to have those installed from CRAN with
install.packages(c("dlnm","mvmeta"))
. Also install the devtools package if you don't
already have it: install.packages("devtools")
.
Then to install FluMoDL, open R and give:
devtools::install_git("https://github.com/thlytras/FluMoDL.git")
Check back here often for new updates of the package!
Usage
See package documentation. One uses the function fitFluMoDL()
to fit the model on the available
surveillance data, then gives the fitted model object to attrMort()
to calculate attributable
mortalities (to influenza, temperature and -optionally- RSV). Check the help pages of these two
functions for details. In order to try these out, the package also includes some example
surveillance data from Greece (see ?greece
).
References
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