Revealing mechanisms of infectious disease spread through empirical contact networks
Fig 3
Robustness of INoDS to missing network data.
Robustness of INoDS to missing nodes and missing edges in network hypothesis. Networks with missing nodes/edges were created by randomly removing 25–75% of nodes/edges not involved in infection spread path at each time-step from the dynamic synthetic network. (a) Step 1: Δβ is the relative deviation of estimated transmission parameter β from the true transmission rate β*. (b) Step 2: Epidemiological relevance of observed network with missing data. Each box summarizes log Bayes factor of observed network with missing data compared to null hypothesis (viz a prior of networks with 10% to 100% permuted edges). (c) Evidence for the true synthetic network over datasets with missing data. Log Bayes factor of more than 2.44 (dashed line) is considered to be a strong support in favor of the observed contact network. The middle black line in each box plot is the median, the boxed area extends from the 25th to 75th quartile, and whiskers extended from the hinge to the largest/smallest value no further than 1.5 times the inter-quartile range.