摘要：Respiratory diseases and air pollution
are the goals of many scientific works, but studies of the relations between
these diseases and cane field burning pollution are still not well studied in the
literature. In this work, we consider the times between days of extrapolations of the number of
daily hospitalizations due to respiratory diseases as our data. To analyze this
data set, we introduce different statistical models related to burning focus
pollution and their relations with the counting of hospitalizations due to
respiratory diseases. Under a Bayesian approach and with the help of the free
available WinBUGS software, we get posterior summaries of interest using
standard MCMC (Markov Chain Monte Carlo) methods.
关键词：Hospitalization Counting; Bayesian Models; Times between Hospitalization Extrapolation Days; Respiratory Diseases
