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Table 2 Key parameters of 16 strategies, resurgence probability and the predicted cumulative number of cases under the corresponding strategies

From: Lessons drawn from Shanghai for controlling highly transmissible SARS-CoV-2 variants: insights from a modelling study

Strategy

\({\varvec{\phi }}_{\varvec{k}}\)  

\({\varvec{t}}_{\varvec{N}}\)

\({\varvec{\phi }}_{\varvec{k}}^{1}\varvec{,}\;{\varvec{\phi }}_{\varvec{k}}^{2}\)

\({\varvec{t}}_{\varvec{N}}^{1}\varvec{,}\;{\varvec{t}}_{\varvec{N}}^{2}\)

\({\varvec{\phi }}_{\varvec{c}}\)

\(\varvec{P}\)

\({\varvec{I}}_{\varvec{s}\varvec{u}\varvec{m}}\)

95%CI

1

1

29 April

--

--

0.26

0%

98

[92–104]

2

1

16 May

--

--

0.34

0%

206

[193–218]

3

1

1 June

--

--

0.41

0%

257

[242–272]

4

1

1 June

--

--

0.6

0%

306

[287–324]

5

1

1 June

--

--

0.8

0%

386

[363–410]

6

1

1 June

--

--

1

53%

514

[481–547]

7

--

--

1, 2.85

1 June, 14 June

0.6

0%

277

[261–294]

8

--

--

1, 5.88

1 June, 14 June

0.8

0%

308

[289–326]

9

--

--

1, 8.92

1 June, 14 June

1

18%

350

[328–371]

10

--

--

1, 1.42

1 June, 28 June

0.6

0%

267

[251–282]

11

--

--

1, 2.94

1 June, 28 June

0.8

0%

280

[263–297]

12

--

--

1, 4.46

1 June, 28 June

1

0%

296

[278–314]

13

2

1 June

--

--

0.57

0%

648

[608–688]

14

3

1 June

--

--

0.72

0%

1604

[1501–1707]

15

4

1 June

--

--

0.88

1%

3928

[3661–4194]

16

5

31 May

--

--

1.01

91%

9607

[8910–10,304]