Description

The data set contains daily mortality (all causes, CVD, respiratory), weather (temperature, dew point temperature, relative humidity) and pollution data (PM10 and ozone) for Chicago in the period 1987-2000 from the National Morbidity, Mortality and Air Pollution Study (NMMAPS)

Usage

Format

A data frame with 5114 observations on the following 14 variables.

• date: Date in the period 1987-2000.

• time: The sequence of observations

• year: Year

• month: Month (numeric)

• doy: Day of the year

• dow: Day of the week (factor)

• death: Counts of all cause mortality excluding accident

• cvd: Cardiovascular Deaths

• resp: Respiratory Deaths

• temp: Mean temperature (in Celsius degrees)

• dptp: Dew point temperature

• rhum: Mean relative humidity

• pm10: PM10

• o3: Ozone

Details

These data represents a subsample of the variables included in the NMMAPS dataset for Chicago.

The variable temp is derived from the original tmpd after a transformation from Fahrenheit to Celsius. The variables pm10 and o3 are an approximated reconstruction of the original series, adding the de-trended values and the median of the long term trend. This is the reason they include negative values.

Source

The complete dataset used to be available at the Internet-based Health and Air Pollution Surveillance System (iHAPSS) website:

http://www.ihapss.jhsph.edu/

or through the packages NMMAPSdata or NMMAPSlite. Currently, the data are not available any more and the two packages have been archived.

See Also

nested for an example of analysing exposure-lag-response associations in a nested case-control study. drug for an example of analysing exposure-lag-response associations in a randomized controlled trial.

The application of DLNMs to this data with more detailed examples are given in vignette dlnmExtended.

See dlnm-package for an introduction to the package and for links to package vignettes providing more detailed information.