Table 1 Summary of the point estimates characterizing the association of malaria risk with malaria control interventions
Country | Effect measure | Indicator | ITN or nets (95% CI) | IRS (95% CI) | ACT (95% CI) | |
|---|---|---|---|---|---|---|
Adigun [39] | Nigeria | OR | Proportion with access to ITN in the household | 0.86 (0.51, 1.48) | ||
Bennett [40] | Zambia | OR | ITN ownership | 0.74 (0.64, 0.86) | 0.30 (0.18, 0.51) | |
Chirombo [41] | Malawi | OR | ITN use | 0.57 (0.43, 0.76) | ||
Dhimal [46] | Nepal | RR | LLIN coverage | 0.75 (0.62, 0.92) | NR | |
Diboulo [49]a | Burkina Fasso | OR | Bednet use | 1.66 (0.89, 3.08) | 1.14 (0.17, 7.23) | 1.45 (0.49, 4.21) |
Diboulo [49]a | Burkina Fasso | OR | Bednet use | 0.25 (− 0.37, 0.90) | 0.11 (− 1.75, 1.70) | 0.13 (− 1.49, 1.67) |
Giardina [42] | Senegal | OR | Presence of at least one bed net per 2 HH members | 0.14 (0.03, 0.7) | ||
Gosoniu [43] | Tanzania | OR | Bednet ownership | 0.92 (0.75, 1.13) | 1.17 (0.33, 3.63) | |
Graves [47]b | Eritrea | NS | Monthly numbers of new and old nets impregnated | 1.00 | 1.00 (per kg of DDT) 1.00 (per kg of Malathion) | |
Graves [47]b | Eritrea | NS | Monthly numbers of new and old nets impregnated | 1.00 | NR | |
Lowe [44] | Malawi | OR | ITN distribution rate | NR | ||
Riedel [45] | Zambia | OR | Presence of at least one bed net in HH | 0.60 (0.39, 0.88) | 1.73 (0.42, 6.90) | |
Thomson [48] | Gambia | NS | Bednet use | 0.51 |