Skip to main content

Table 3 Negative binomial fit parameters m and r as provided by the R’s “fitdistr” function (see Additional file 1 )

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

m parameter

A

D

N

P

C

A

300(60)

1.2(0.2)

25(3)

0.95(0.16)

2.0(0.3)

D

1.2(0.2)

21(5)

4.0(0.6)

0.95(0.17)

1.2(0.2)

N

25(3)

4.0(0.6)

47(5)

2.3(0.4)

2.6(0.4)

P

0.95(0.16)

0.95(0.17)

2.3(0.4)

1.3(0.7)

47(16)

C

2.0(0.3)

1.2(0.2)

2.6(0.4)

47(16)

1.8(0.9)

r parameter

A

D

N

P

C

A

0.615(0.014)

0.195(0.002)

0.404(0.0018)

0.136(0.0007)

0.215(0.0013)

D

0.195(0.002)

0.112(2.10-4)

0.1278(2.10-4)

0.0482(5.10-5)

0.0602(8.10-5)

N

0.404(0.0018)

0.1278(2.10-4)

0.3696(0.0013)

0.05652(4.10-5)

0.0845(9.10-5)

P

0.136(7.10-4)

0.0482(5.10-5)

0.0565(4.10-5)

0.00489(1.8.10-6)

0.00718(9.10-7)

C

0.215(0.0013)

0.0602(8.10-5)

0.0845(9.10-5)

0.00718(9.10-7)

0.009(6. 10-6)

  1. The values at row X and column Y give the parameters obtained when fitting the empirical distribution of cumulated contact times between individuals of classes X and Y. The parameter m corresponds to the average of the fitted distribution, while its variance is given by m+m2/r. The numbers in parenthesis are the standard errors as given by the “fitdistr” function.