Climate seasonality and lower respiratory tract diseases: a predictive model for pediatric hospitalizations.

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.