Table 2. Variables that vary between scenarios**.
Variable | Description | Levels |
Intensity of transmission | Infected bites per adult per year prior to the introduction of IPTi‡ | High transmission: 200 |
Moderate transmission: 100 | ||
Reference: 21 | ||
Low transmission: 6 | ||
Treatment coverage | Proportion of malaria fevers treated | 4%, 30% |
Drug resistance | Frequency of 3 different genotypes | 100%, 0%, 0% |
80%, 10%, 10% | ||
20%, 40%, 40% | ||
0%, 0%, 100% | ||
Prophylactic period | Time in days that drug clears blood-stage infections for each of the 3 different genotypes † | 0,0,0 days (treatment only) |
50, 10, 0 days (corresponds to SP) | ||
100, 20, 0 days | ||
IPTi schedule | Age at doses | 3, 4 and 9 months |
Single doses 1.5–24 months* | ||
IPTi coverage | Proportion of eligible infants receiving all 3 IPTi doses (coverage with first, second and third dose) | 89% (95%,95%,99%) |
50% (79%,79%,79%) | ||
100% (100%,100%,100%) |
One variable was varied at a time. In each scenario, the variables not being evaluated were fixed at the reference levels (indicated in bold).
The seasonality follows that of Namawala, Tanzania.[68] Each simulation assumes a recurring pattern of the vectoral capacity.
The proportion of infections cleared by the genotypes are set at 100%,100% and 50%.
We investigated the effect of age at dose by simulating a single IPTi dose at varying ages.