Skip to main content

Table 2 Value of the parameters used in the simulations. The last three parameters, namely \(q_a\), \(q_c\), and V, vary across the simulations and their values are explicitly reported when presenting the results

From: A multi-layer network model to assess school opening policies during a vaccination campaign: a case study on COVID-19 in France

 

Meaning

Value

k

Number of families

50,000

\(n_s\)

Children in each family with children

Zero-truncated Poisson r.v., mean 1.79

\(n_a\)

Adults in each family with no children

One-truncated Poisson r.v., mean 2.41

\(n_c\)

children in each class

24

\(a_i\)

Activity of node i

[0.1, 1], power law r.v., exponent \(-2.09\)

\(m_a\)

Interactions of active adults

13

\(m_c\)

Interactions of active children

7

\({\bar{\lambda }}\)

Per-contact infection probability (S I)

0.040

\(\lambda _a\)

Adult per-contact infection probability (S II)

0.047 (95% CI [0.040,0.053])

\(\lambda _c\)

Children per-contact infection probability (S II)

0.029 (95% CI [0.020, 0.040])

\({\bar{\lambda }}_{\alpha }\)

Per-contact infection probability (S III)

0.067 (95% CI [0.057,0.076])

\(\nu\)

Probability of becoming infectious

0.1447

\(\mu\)

Recovery probability

0.1813

\(q_a\)

Adults detection rate

–

\(q_c\)

Children detection rate

–

V

Population vaccinated

–