Table 3 Sensitivity analysis – impact of varying assumptions on total costs (US$)
From: Costs of early detection systems for epidemic malaria in highland areas of Kenya and Uganda
Variable | Change | Impact on annual costs per district in Uganda | Impact on annual costs per district in Kenya |
|---|---|---|---|
Salary increase | 10% | Increase from US$ 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. |