Table 3.
Aggregated country-specific mf breakpoints
| Country | Mean mf breakpoint at TBR (5th and 95th percentiles) | Mean mf breakpoint at ABR (5th and 95th percentiles) |
|---|---|---|
| Angola | 0.516 (0.0435, 2.08) | 0.143 (0.015, 0.341) |
| Benin | 0.446 (0.0609, 1.96) | 0.148 (0.0289, 0.343) |
| Burkina Faso | 0.648 (0.0436, 2.74) | 0.155 (0.0163, 0.383) |
| Cameroon | 0.7 (0.0481, 3.01) | 0.188 (0.0182, 0.506) |
| Central African Republic | 0.719 (0.045, 3.02) | 0.176 (0.0172, 0.465) |
| Chad | 0.661 (0.0435, 2.88) | 0.153 (0.0165, 0.386) |
| Comoros | 0.759 (0.0306, 3.42) | 0.103 (0.00416, 0.304) |
| Congo | 0.958 (0.0482, 3.69) | 0.22 (0.02, 0.659) |
| Cote d’Ivoire | 0.327 (0.0438, 0.861) | 0.146 (0.0177, 0.337) |
| Democratic Republic of the Congo | 0.648 (0.0435, 2.57) | 0.221 (0.0159, 0.675) |
| Djibouti | 0.632 (0.0609, 2.44) | 0.178 (0.0216, 0.462) |
| Egypt | 0.345 (0.027, 1.62) | 0.118 (0.00596, 0.308) |
| Equatorial Guinea | 0.834 (0.044, 3.33) | 0.23 (0.017, 0.742) |
| Ethiopia | 0.372 (0.0432, 1.09) | 0.145 (0.0161, 0.333) |
| Gabon | 0.951 (0.0453, 3.73) | 0.238 (0.0197, 0.772) |
| Ghana | 0.267 (0.124, 0.482) | 0.158 (0.0661, 0.29) |
| Guinea | 0.308 (0.0402, 0.806) | 0.225 (0.0207, 1.1) |
| Guinea Bissau | 0.308 (0.0402, 0.806) | 0.225 (0.0207, 1.1) |
| Kenya | 0.584 (0.0432, 2.33) | 0.167 (0.0166, 0.422) |
| Liberia | 0.777 (0.0437, 3.31) | 0.189 (0.0173, 0.526) |
| Madagascar | 0.33 (0.0325, 1.29) | 0.0925 (0.00249, 0.233) |
| Malawi | 0.578 (0.0312, 2.84) | 0.0758 (0.0027, 0.218) |
| Mali | 0.799 (0.0438, 3.34) | 0.13 (0.0145, 0.302) |
| Mozambique | 0.799 (0.0438, 3.34) | 0.13 (0.0145, 0.302) |
| Niger | 0.547 (0.0497, 1.97) | 0.17 (0.0142, 0.484) |
| Nigeria | 0.652 (0.0449, 2.2) | 0.207 (0.0214, 0.758) |
| Senegal | 0.26 (0.0319, 0.642) | 0.0907 (0.0034, 0.2) |
| Sierra Leone | 0.563 (0.0366, 2.87) | 0.0929 (0.00366, 0.255) |
| South Sudan | 0.51 (0.0363, 2.64) | 0.0907 (0.00361, 0.245) |
| Sudan | 0.901 (0.0416, 3.49) | 0.188 (0.0175, 0.546) |
| Tanzania | 0.874 (0.0386, 3.51) | 0.224 (0.016, 0.689) |
| The Gambia | 0.802 (0.0439, 3.35) | 0.159 (0.0172, 0.405) |
| Togo | 0.61 (0.0417, 2.42) | 0.152 (0.0163, 0.38) |
| Uganda | 0.516 (0.0435, 2.08) | 0.143 (0.015, 0.341) |
| Zambia | 0.446 (0.0609, 1.96) | 0.148 (0.0289, 0.343) |
| Zimbabwe | 0.648 (0.0436, 2.74) | 0.155 (0.0163, 0.383) |
The mean (and 5th and 95th percentile) mf breakpoint values by country are given under annual biting rate (ABR) and threshold biting rate (TBR) conditions. Calculations using TBR apply for interventions including supplemental VC, while those using ABR apply for interventions without VC. The relevant vector model was used for each country as indicated in Table 1. For Kenya, Malawi, and Tanzania, the results from the culicine LF model are given, as Culex mosquitoes represent the dominant vector in these countries. For elimination analyses, the 5th percentile value represents the breakpoint value, the crossing of which corresponds to a 95% probability for achieving LF elimination