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Figure 5 | BMC Public Health

Figure 5

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

Figure 5

Posterior distributions of α j,t,m (m = 2,..,7; j = 1,…,11) in “excess” parameter φ j,t as measure of correspondence between surveillance and the information environment proxy data 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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BMC Public Health

ISSN: 1471-2458

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