This dataset consists of respiratory diseases hospitalization in Sorocaba, São Paulo, Brazil. The details of the statistical modeling using the APLMS-AR(p) approach can be found in Chou-Chen, et al. (2024). tools:::Rd_expr_doi("10.1007/s00362-024-01590-w"). The hospitalization data of respiratory diseases in Sorocaba city, São Paulo, Brazil are obtained from the Hospital Information System of Brazil’s Unified National Health System (SIH-SUS), and the climatic and pollution data are provided by the QUALAR system.
data(hospitalization)The "data" slot is a data frame with 932 weekly data on the following 29 variables.
Date, year, epidemiologic weeks, and time index.
Respiratory hospitalization count.
Maximum, minimum and average of \(MP10\).
Maximum, minimum and average of \(NO\).
Maximum, minimum and average of \(NO_2\).
Maximum, minimum and average of \(NO_x\).
Maximum, minimum and average of \(O_3\).
Maximum, minimum and average of temperature.
Maximum, minimum and average of relative humidity.
Maximum, minimum and average of daily temperature amplitude.
Chou-Chen, S.W., Oliveira, R.A., Raicher, I. et al. (2024) Additive partial linear models with autoregressive symmetric errors and its application to the hospitalizations for respiratory diseases. Stat Papers 65, 5145–5166. tools:::Rd_expr_doi("10.1007/s00362-024-01590-w")
data(hospitalization)
head(hospitalization)
Run the code above in your browser using DataLab