Bronchiolitis Hospitalization in Southern Brazil from 2002 to 2012: A Count Time-series Approach

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 wa...

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Bibliographic Details
Published in:Revista da Sociedade Brasileira de Medicina Tropical
Main Authors: Guilherme Zubatch da Cunha, Eniuce Menezes de Souza, Márcia Lorena Alves dos Santos
Format: Article in Journal/Newspaper
Language:English
Published: Sociedade Brasileira de Medicina Tropical (SBMT) 2019
Subjects:
Autoregressive Conditional Poisson
Bronchiolitis Hospitalizations
Count Time Series
Arctic medicine. Tropical medicine
RC955-962
Arctic
Online Access:https://doi.org/10.1590/0037-8682-0329-2018
https://doaj.org/article/52bdb5fd08484b6ca51b49f51993f18f
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Summary: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.

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