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Figure 6 | BMC Public Health

Figure 6

From: Characterizing Influenza surveillance systems performance: application of a Bayesian hierarchical statistical model to Hong Kong surveillance data

Figure 6

Posterior distributions of α j,t,m ( m= 2,..,7; j= 4,5,6) in “excess” parameter φ j,t as measure of correspondence between surveillance and the information environment proxy data for surveillance systems that are less correlated with the information environment during the pandemic period. α2 is the coefficient for total number of alerts at HealthMap; α3 is the coefficient for the total number of unique alerts at HealthMap; α4 is the coefficient for number of healthcare facilities related alerts at HealthMap; α5 is the coefficient for %RSV from virological surveillance; α6 is the coefficient for Google search index of authority; α7 is the coefficient for Google search index of pandemic influenza terms.

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