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ORIGINAL ARTICLE
Climate seasonality and lower respiratory tract diseases: a predictive model for pediatric hospitalizations
Revista Brasileira de Enfermagem. 2022;75(2):e20210680
09-19-2022
Resumo
ORIGINAL ARTICLEClimate seasonality and lower respiratory tract diseases: a predictive model for pediatric hospitalizations
Revista Brasileira de Enfermagem. 2022;75(2):e20210680
09-19-2022DOI 10.1590/0034-7167-2021-0680
Visualizações0Ver maisABSTRACT
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.