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Table 3 Simulation outputs for elimination and resurgence in terms of case management coverage: here column labelled \(\mathbf {CM}\) 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.

\(\mathbf {CM_{\mathrm {0.2}}}\)

\(\mathbf {\%_{\mathrm {0.2}}}\)

\(\mathbf {CM_{\mathrm {0.5}}}\)

\(\mathbf {\%_{\mathrm {0.5}}}\)

\(\mathbf {CM_{\mathrm {0.8}}}\)

\(\mathbf {\%_{\mathrm {0.8}}}\)

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

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

Elim.

0

11,439

34.0

10,269

30.6

9524

28.4

31,232

31.0

1

22,161

66.0

23,326

69.4

24,057

71.6

69,544

69.0

p < 0.0001

All

33,600

100.0

33,595

100.0

33,581

100.0

100,776

100.0

Resur.

0

11,646

34.7

15,770

46.9

18,377

54.7

45,793

45.4

1

21,954

65.3

17,825

53.1

15,204

45.3

54,983

54.6

p < 0.0001

All

33,600

100.0

33,595

100.0

33,581

100.0

100,776

100.0

  1. The subscript denotes the proportion of cases of malaria receiving effective treatment. 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)