Abstract
INTRODUCTION:
Because the antibody neutralizing respiratory syncytial virus (anti-RSV) has a short period of immunization and high cost, the identification of regions and months of highest occurrence of bronchiolitis is very important.
METHODS:
An Autoregressive Conditional Poisson model was constructed for count data and compared to the standard time-series Poisson regression model.
RESULTS:
The metropolitan area of Paraná presented the highest average occurrence from May to July.
CONCLUSIONS:
The constructed model presented a better fit and allowed prediction of when and where the bronchiolitis hospitalizations are distributed.
Keywords:
Autoregressive Conditional Poisson; Bronchiolitis Hospitalizations; Count Time Series
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