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Table 5 Simulation outputs for elimination and resurgence in terms of infection importation rate per 1000 per annum: here column labelled \(\mathbf {IIR}\) shows the number of scenarios and the column labelled % shows the percentage of scenarios

From: Modelling the implications of stopping vector control for malaria control and elimination

Var.

Lev.

\(\mathbf {IIR_{\mathrm {0.1}}}\)

\(\mathbf {\%_{\mathrm {0.1}}}\)

\(\mathbf {IIR_{\mathrm {1}}}\)

\(\mathbf {\%_{\mathrm {1}}}\)

\(\mathbf {IIR_{\mathrm {10}}}\)

\(\mathbf {\%_{\mathrm {10}}}\)

\(\mathbf {IIR_{\mathrm {all}}}\)

\(\mathbf {\%_{\mathrm {all}}}\)

Elim.

0

10,455

31.1

10,512

31.3

10,265

30.6

31,232

31.0

1

23,134

68.9

23,083

68.7

23,327

69.4

69,544

69.0

p = 0.10

All

33,589

100.0

33,595

100.0

33,592

100.0

100,776

100.0

Resur.

0

21,085

62.8

14,281

42.5

10,427

31.0

45,793

45.4

1

12,504

37.2

19,314

57.5

23,165

69.0

54,983

54.6

p < 0.0001

All

33,589

100.0

33,595

100.0

33,592

100.0

100,776

100.0

  1. The subscript denotes the Infection Importation Rate per 1000 person-years. The rows for the variable, Elim. correspond to the scenarios where elimination occurred (Lev. 1) or did not occur (Lev. 0), and for the variable, Resur. correspond to the scenarios where resurgence occurred (Lev. 1) or did not occur (Lev. 0)