Meteorological factors and respiratory syncytial virus seasonality in subtropical Australia

• Published in: Epidemiology and infection Vol. 146; no. 6; pp. 757 - 762
• Main Authors: Morley, C., Grimwood, K., Maloney, S., Ware, R. S.
• Format: Journal Article
• Language: English
• Published: Cambridge, UK Cambridge University Press 01.04.2018
• Subjects: Children; Coastal environments; Confidence intervals; Dew point; Disease transmission; Epidemics; Epidemiology; Gold; Identification methods; Immunization; Immunoprophylaxis; Incidence; Infants; Original Paper; Outbreaks; Public health; Rainfall; Relative humidity; Respiratory Infections; Respiratory syncytial virus; Risk groups; Seasonal variations; Southern Hemisphere; Tapering; Vaccines; Viruses; Hong Kong China; Queensland Australia; Australia; United States > US; China; respiratory syncytial virus; seasonality; Climate
• ISSN: 0950-2688; 1469-4409
• DOI: 10.1017/S0950268818000614

Evidence is emerging regarding the influence of meteorological factors on seasonal respiratory syncytial virus outbreaks. Data however, are limited for subtropical regions, especially in the southern hemisphere. We examined whether meteorological data (daily minimum and maximum temperatures, rainfall, relative humidity, dew point, daily global solar exposure) and tourist numbers were associated with the incidence of RSV in children aged <5 years for the Gold Coast region of South-East Queensland, Australia (latitude 28.0°S). RSV cases between 1 July 2007 and 30 June 2016 were identified from the Pathology Queensland Gold Coast Laboratory database. Time-series methods were used to identify seasonal patterns. RSV activity peaked in mid-to-late autumn (April–May), tapering in winter (June–August). While most meteorological variables measured were associated with RSV incidence, rainfall (ρ = 0.40, 95% confidence interval (CI) 0.32–0.48) and humidity (ρ = 0.38, 95% CI 0.29–0.46) 8 weeks earlier had the nearest temporal relationship. Tourist numbers were not correlated with RSV activity. Identifying meteorological conditions associated with seasonal RSV epidemics can improve understanding of virus transmission and assist planning for their impact upon the health sector, including timing of passive RSV immunoprophylaxis for high-risk infants and future public health interventions, such as maternal immunisation with RSV vaccines.