Publication | Open Access
Climatic factors associated with hospitalizations for rotavirus diarrhoea in children under 5 years of age
137
Citations
29
References
2007
Year
MedicineEnvironmental HealthClinical EpidemiologyGastroenterologyPediatricsGastrointestinal VirusPediatric GastroenterologyDisease OutbreakIntestinal PhysiologyRotavirus DiarrhoeaDisease TransmissionInfection ControlPublic HealthRotavirus AdmissionsClimatic FactorsTraveler DiarrheaEpidemiologyRelative Humidity
The study compares rotavirus diarrhoea hospital admissions seasonality and its association with climatic factors in three Australian cities. Weekly admissions of children under five (1993‑2003) were modeled with a log‑linear model incorporating a cubic trend, seasonality, and interactions to assess temperature and humidity effects across seasons and cities. Admissions peaked in winter and spring, were lowest in summer, and higher temperature and humidity in the preceding week were linked to fewer admissions—particularly in Brisbane where seasonal differences were evident—suggesting that outbreak planning should incorporate climatic and seasonal considerations.
This study compares the seasonality of rotavirus diarrhoeal hospital admissions and its relationship to climatic factors across three Australian cities. Weekly admission of rotavirus diarrhoea (1993-2003) in children aged <5 years and weekly average temperature and relative humidity for each city were modelled using a log-linear model with a cubic trend and season. Interactions were included to test for differences in the effect of temperature and humidity between seasons and between cities. Admissions of rotavirus diarrhoea peaked in winter and spring and were lowest in summer. Higher temperature and humidity in the previous week were associated with a decrease in rotavirus diarrhoeal admissions in three cities. The effects of both temperature and humidity on rotavirus admissions in Brisbane differed across seasons. Strategies to combat outbreaks of rotavirus diarrhoea should take climatic factors and seasonal effects into consideration to plan for the excess seasonal hospital admissions.
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