Table 3 |
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Sensitivity analysis – impact of varying assumptions on total costs (US$) |
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|
Variable |
Change |
Impact on annual costs per district in Uganda |
Impact on annual costs per district in Kenya |
|
|
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|
Salary increase |
10% |
Increase from US$ 14,439 to US$ 15,024. |
Increase from US$ 15,512 to US$ 16,387. |
|
Exchange rate: US$ 1 = |
USh 1,737.85 KSh 72.62 |
Increase from US$ 14,439 to US$ 15,042. |
Increase from US$ 15,512 to US$ 16,484. |
|
Exchange rate: US$ 1 = |
USh 1,846.83 KSh 79.55 |
Decrease from US$ 14,439 to US$ 13,842. |
Decrease from US$ 15,512 to US$ 14,807. |
|
Discount Rate |
From 5% to 7% |
Increase from US$ 14,439 to US$ 14,653. |
Increase from US$ 15,512 to US$ 15,728. |
|
Discount Rate |
From 5% to 3% |
Decrease from US$ 14,439 to US$ 14,229. |
Decrease from US$ 15,512 to US$ 15,300. |
|
Relay of malaria surveillance data from facility |
Changes from "In person" to "wireless" |
Decrease from US$ 14,439 to US$ 13,834. |
Not tested. |
|
|
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Mueller et al. Malaria Journal 2009 8:17 doi:10.1186/1475-2875-8-17 |
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