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. 2011 Jun 12;409(18):3325–3333. doi: 10.1016/j.scitotenv.2011.04.056

Fig. 7.

Fig. 7

(A) Hill-based regression model to construct the relationship between influenza αi and environmental stimuli αe. (B) The lognormal (LN) fitted ensemble distribution of environmental stimuli αe with a geometric mean 0.73 and a geometric standard deviation 1.19. (C) The exceedance probability of influenza αi based on representative probability density function of environmental stimuli αe. (D) The risk profile of asthma admission rate converting from exceedance probability profile of influenza αi. Inset shows the most likely (95%), likely (70%), and unlikely (30%) probabilities of asthma admission risks.