Respiratory syncytial virus infection trend is associated with meteorological factors

Ilada Thongpan1, Sompong Vongpunsawad1, Yong Poovorawan2

  • 1Center of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.

Scientific Reports
|July 4, 2020
PubMed

Insights

Climate factors significantly influence respiratory syncytial virus (RSV) seasonality in Thailand. Higher rainfall and humidity, and lower temperatures, correlate with increased RSV activity, peaking four months after the hottest period.

Area of Science:

  • Environmental Science
  • Epidemiology
  • Virology

Background:

  • Respiratory syncytial virus (RSV) is a major cause of respiratory illness in young children globally.
  • RSV seasonality varies geographically, suggesting a role for climatic factors.
  • Understanding local drivers of RSV is crucial for public health interventions.

Purpose of the Study:

  • To investigate the relationship between meteorological factors and RSV seasonality in Thailand.
  • To analyze RSV incidence data in children under five years old from 2012-2018.
  • To develop a predictive model for RSV outbreaks based on climate data.

Main Methods:

  • Collected and analyzed 8,209 nasopharyngeal samples from children with respiratory symptoms.
  • Utilized Spearman's rank and partial correlation to assess associations between meteorological data and RSV incidence.
  • Employed a multivariate time-series analysis using an ARIMA model to identify climate-RSV correlations and lags.

Main Results:

  • RSV was detected in 13.2% of samples, with RSV-A and RSV-B strains identified.
  • RSV activity showed a unimodal pattern from July to November, coinciding with the rainy season.
  • Positive correlations were found between RSV incidence and rainfall (r=0.41) and relative humidity (r=0.25).
  • A negative correlation was observed between RSV incidence and mean temperature (r=-0.27).
  • The ARIMA model indicated peak RSV activity lagged the hottest month by four months.

Conclusions:

  • Climate, specifically rainfall and humidity, significantly influences RSV seasonality in Thailand.
  • Temperature plays an inverse role, with cooler periods associated with higher RSV activity.
  • The findings support the potential for climate-based prediction of RSV outbreaks in the region.

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