Revealing mechanisms of infectious disease spread through empirical contact networks
Fig 4
Comparison of INoDS performance with previous approaches.
Statistical power of INoDS, k-test and network position test in establishing epidemiological relevance of the “true” contact network against three common forms of missing data—missing nodes, missing edges and missing infected cases. Statistical power of INoDS, k-test and network position test was calculated as the proportion of disease simulations where the observed contact network was detected as epidemiologically relevant (INoDS: log(B10) > 2.44; k-test and network position test: p < 0.05).