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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)