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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)