Table 1. Number of contacts by demographic characteristics and location in Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China
a Can differ from total sample size (n=636) as it also includes participants who had not recorded contacts during the baseline period or during the COVID-19 outbreak. Note that reduced denominators indicate missing data. Percentages may not total 100 because of rounding.
b Difference is calculated by the subtraction of the number of contacts during the outbreak from the number of contacts during the baseline period. P-values are taken from a negative binomial regression with a single binary variable distinguishing the baseline period from the outbreak.
c The 95% confidence interval on the mean are calculated by bootstrap sampling.
*p<0.05, **p<0.01, ***p<0.001.
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Fig. 1 Contact matrices by age in Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China
Fig. 3 Effect of limiting school contacts on the epidemic spread in Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China
Table 1. Number of contacts by demographic characteristics and location in Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China
Fig. 2 Effect of contact patterns on the epidemic spread in Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China