admrio: Hospital Admissions in Rio de Janeiro

In wjunger/ares: Environmental air pollution epidemiology: a library for time series analysis

Description

This is a typical dataset used in environment air pollution epidemiology. It contains outcome, confounders and exposure variables, i.e., event counts, meteorological condition and air pollutants concentrations.

Usage

data(admrio)

Format

A data frame with 730 observations on the following 20 variables.

date

dates string formatted as dd/mm/yyyy

resp65

counts respiratory hospital admissions over 65 years old

circ65

counts of circulatory hospital admissions over 65 years old

copd65

counts of COPD hospital admissions over 65 years old

pneum65

counts of pneumonia hospital admissions over 65 years old

myinf65

counts of myocardial infarction hospital admissions over 65 years old

resp5

counts of respiratory hospital admissions under 5 years old

pneum5

counts of pneumonia hospital admissions under 5 years old

warmseason

an indicator variable for months with higher temperature

tmpmed

mean of measured temperature

tmpmin

minimum of measured temperature

tmpmax

maximum of measured temperature

humid

mean of measured relative humidity

rain

daily rainfall in mm

rainy

an indicator for days with rainfall over 50 milimetres

pm10

daily averaged concentrations of particulate matter up to 10 microns in micrograms per metre cubic

so2

daily averaged concentrations of sulphur dioxide in micrograms per metre cubic

co

daily averaged concentrations of carbon monoxide in micrograms per metre cubic

Details

This dataset is a subset of a larger dataset used in an actual study in Rio de Janeiro.

Examples

data(admrio)
names(admrio)

wjunger/ares documentation built on Dec. 23, 2021, 5:17 p.m.