Climate factors influence seasonal influenza activity in Bangkok, Thailand

Identifying the ARIMA(X) model We next examined the time delay in the association between climate factors and the incidence of influenza. This was defined as the time difference in months between the peak of a climate Fig 3. Incidence of yearly influenza and the periodic fluctuation of meteorological variables. Generalized linear models depict the incidence of influenza virus each month (colored waves) relative to the monthly mean values of climate factors (shaded). The left Y-axis represents the z-score of the (A) mean temperature (Temp), (B) relative humidity (RH), and (C) rainfall (RF). The right Y-axis represents the differences in the viral incidence for all influenza viruses (red dashed line), influenza A(H1N1)pdm09 virus (purple line), influenza A(H3N2) virus (yellow line), or influenza B virus (blue line). The highest point on the wave indicates the time of year influenza virus detection peaked. https://doi.org/10.1371/journal.pone.0239729.g003 PLOS ONE Climate factors influence seasonal influenza activity in Bangkok, Thailand PLOS ONE | https://doi.org/10.1371/journal.pone.0239729 September 29, 2020 7 / 15