To further analyze and compare our previous results, we also make use of the daily class suspension data in Taiwan from September 9, 2009 to January 20, 2010, which allows us to ascertain the temporal changes in this intervention measure during the time period. Since this dataset started near the end of the first wave, according to our previous results, only one wave was modeled via the Richards model. The estimation results for model fit using the daily class suspension number data as well as the daily number of schools with at least one class suspended are given in Table 3 The actual confirmed case number (approximated by K in our model) is 1742 during the first wave and 3238 for the two waves. point. A graphical illustration of the temporal timelines of the epidemic, as illustrated by the three model fits, is given in Figure 6 . Moreover, an illustrative comparison of the estimates for R as obtained by the model fits is also provided in Figure 7 . In both Figures 6 and 7 , the results from fitting the number of schools with class suspended are omitted for brevity, since they are similar to that of the fitting with class suspension data. Figure 2 Model fit for the 2-wave Richards model using weekly confirmed pH1N1 case data by sample receiving week in Taiwan. The dots are the real cumulative data, the blue curve denotes the first wave, and the red curve denotes the second wave. The arrows indicate the weeks in which turning points had occurred. The actual number of confirmed hospitalizations is 297 for the first wave and 910 for the two waves.