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...
Published in: | Revista da Sociedade Brasileira de Medicina Tropical |
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Main Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Sociedade Brasileira de Medicina Tropical (SBMT)
2019
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Subjects: | |
Online Access: | https://doi.org/10.1590/0037-8682-0329-2018 https://doaj.org/article/52bdb5fd08484b6ca51b49f51993f18f |
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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