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An infectious disease model on empirical networks of human contact: bridging the gap between dynamic network data and contact matrices

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Academic year: 2020

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Figure

Figure 1 Schematic view of the considered contact patternsrepresentations according to the two qualitative features ofnetwork detail and amount of information on contacts.
Table 2 Contact matrix between the different roles(A: assistants; D: physicians; N: nurses; P: patients;C: caregivers)
Table 3 Negative binomial fit parameters m and r as provided by the R’s “fitdistr” function (see Additional file 1)
Table 4 Extinction probability and fractions of runs leading to an attack rate (AR) lower than 10%, for the variouscontact patterns representations and as a function of the role class of the seed
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