dengue {DAAG} | R Documentation |
Dengue prevalence, by administrative region
Description
Data record, for each of 2000 administrative regions, whether or not dengue was recorded at any time between 1961 and 1990.
Usage
data(dengue)
Format
A data frame with 2000 observations on the following 13 variables.
- humid
Average vapour density: 1961-1990
- humid90
90th percentile of
humid
- temp
Average temperature: 1961-1990
- temp90
90th percentile of
temp
- h10pix
maximum of
humid
, within a 10 pixel radius- h10pix90
maximum of
humid90
, within a 10 pixel radius- trees
Percent tree cover, from satellite data
- trees90
90th percentile of
trees
- NoYes
Was dengue observed? (1=yes)
- Xmin
minimum longitude
- Xmax
maximum longitude
- Ymin
minimum latitude
- Ymax
maximum latitude
Details
This is derived from a data set in which the climate and tree cover
information were given for each half degree of latitude by half
degreee of longitude pixel.
The variable NoYes
was given by administrative region.
The climate data and tree cover data given here are 50th or 90th
percentiles, where percetiles were calculates across pixels for an
administrative region.
Source
Simon Hales, Environmental Research New Zealand Ltd.
References
Hales, S., de Wet, N., Maindonald, J. and Woodward, A. 2002. Potential effect of population and climate change global distribution of dengue fever: an empirical model. The Lancet 2002; 360: 830-34.
Examples
str(dengue)
glm(NoYes ~ humid, data=dengue, family=binomial)
glm(NoYes ~ humid90, data=dengue, family=binomial)