1. Climate seasonality and lower respiratory tract diseases: a predictive model for pediatric hospitalizations.
- Author
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Xavier JMV, Silva FDDS, Olinda RA, Querino LAL, Araujo PSB, Lima LFC, Sousa RS, and Rosado BNCL
- Subjects
- Child, Hospitalization, Humans, Infant, Asthma complications, Asthma epidemiology, Bronchiolitis epidemiology, Bronchiolitis etiology, Bronchitis complications, Bronchitis epidemiology, Pneumonia, Respiration Disorders
- Abstract
Objectives: to analyze the climate seasonality of respiratory diseases in children aged 0-9 years and present a model to predict hospital admissions for 2021 to 2022., Methods: verify, in a temporal manner, the correlation of admissions for pneumonia, bronchitis/bronchiolitis, and asthma with meteorological variables, aiming to demonstrate seasonality with the adjustment of temporal series models., Results: there was a seasonal effect in the number of registered cases for all diseases, with the highest incidence of registrations in the months of autumn and winter., Conclusions: it was possible to observe a tendency towards a decrease in the registration of pneumonia cases; In cases of admissions due to bronchitis and bronchiolitis, there was a slight tendency towards an increase; and, in occurrence rates of asthma, there was no variation in the number of cases.
- Published
- 2022
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