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Table 4 Different parameter setups for model simulation

From: Robustness analysis for quantitative assessment of vaccination effects and SARS-CoV-2 lineages in Italy

  

\(\eta\)

\(\delta\)

\([s_{06},s_{07},s_{08}]\)

Scenario A

1

\([10^5,10^6]\)

[180d,540d]

[0.5, 0.6, 0.7]

2

\([10^5,10^6]\)

[180d,540d]

[0.8, 0.9, 1]

3

\([10^5,10^6]\)

[180d,540d]

[1.1, 1.2, 1.3]

Scenario B

1

\(10^5\)

[180d,540d]

[0.5, 1.5]

2

\(5 \cdot 10^5\)

[180d,540d]

[0.5, 1.5]

3

\(10^6\)

[180d,540d]

[0.5, 1.5]

Scenario C

1

\([10^510^6]\)

180d

[0.5, 1.5]

2

\([10^5,10^6]\)

360d

[0.5, 1.5]

3

\([10^5,10^6]\)

540d

[0.5, 1.5]

  1. In Scenario A, parameters \(\eta\) and \(\delta\) are perturbed in the intervals shown below while parameter vector [\(s_{06}\),\(s_{07}\),\(s_{08}\)] is fixed to three different values. In Scenario B and C parameters \(\eta\) and \(\delta\) are fixed, respectively. The unit of measurement for parameter \(\delta\) is days (d)
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BMC Infectious Diseases

ISSN: 1471-2334

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