| A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | AA | AB | AC | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Malaria Consortium | Malaria Consortium | ||||||||||||||||||||||||||||
2 | Burkina Faso | Chad | DRC | DRC | DRC | DRC | Mozambique | Nigeria | Nigeria | Nigeria | Nigeria | Nigeria | Nigeria | Nigeria | Nigeria | Nigeria | Togo | Uganda | ||||||||||||
3 | Inputs | unit | type | Overall | Haut-Katanga | Haut-Lomami | Lualaba | Tanganyika | Nampula | Bauchi | Borno | FCT (Abuja) | Kebbi | Kogi | Nasarawa | Oyo | Plateau | Sokoto | Karamoja | Source | GW analysis and discussion | |||||||||
4 | Final cost-effectiveness estimate (pulled from "Main calcs" sheet for visibility) | xcash | main | - | 17.9 | 8.0 | 7.8 | 9.2 | 9.0 | 12.5 | 11.4 | 21.1 | 17.9 | 16.0 | 29.2 | 20.9 | 22.2 | 24.2 | 15.9 | 29.6 | 10.5 | 10.3 | ||||||||
5 | Costs | |||||||||||||||||||||||||||||
6 | ||||||||||||||||||||||||||||||
7 | GiveWell costs | |||||||||||||||||||||||||||||
8 | Grant size | $ | input | $1,000,000 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Arbitrary value | |||||||
9 | ||||||||||||||||||||||||||||||
10 | Cost breakdown | |||||||||||||||||||||||||||||
11 | Percentage of total costs covered by the grantee | % | input | - | 89% | 89% | 89% | 89% | 89% | 89% | 89% | 86% | 86% | 86% | 86% | 86% | 86% | 86% | 86% | 86% | 87% | 89% | GW analysis | GW's analysis of Malaria Consortium's cost per SMC cycle administration | ||||||
12 | Percentage of total costs covered by other philanthropic actors | % | input | - | 1% | 0% | 0% | 0% | 0% | 0% | 0% | 4% | 4% | 4% | 4% | 4% | 4% | 4% | 4% | 4% | 2% | 0% | GW analysis | GW's analysis of Malaria Consortium's cost per SMC cycle administration | ||||||
13 | Percentage of total costs covered by domestic governments | % | input | - | 10% | 11% | 11% | 11% | 11% | 11% | 11% | 10% | 10% | 10% | 10% | 10% | 10% | 10% | 10% | 10% | 10% | 11% | GW analysis | GW's analysis of Malaria Consortium's cost per SMC cycle administration | ||||||
14 | ||||||||||||||||||||||||||||||
15 | Cost per child covered | |||||||||||||||||||||||||||||
16 | Cost per seasonal malaria chemoprevention (SMC) cycle administered | $ | input | - | $1.48 | $1.81 | $1.81 | $1.81 | $1.81 | $1.81 | $1.81 | $1.40 | $1.40 | $1.40 | $1.40 | $1.40 | $1.40 | $1.40 | $1.40 | $1.40 | $1.50 | $1.81 | GW analysis | GW's analysis of Malaria Consortium's cost per SMC cycle administration | ||||||
17 | Number of SMC cycles per year | # | input | - | 4.3 | 4.0 | 4.0 | 4.0 | 4.0 | 4.0 | 4.0 | 4.0 | 4.0 | 5.0 | 4.0 | 5.0 | 5.0 | 5.0 | 5.0 | 4.0 | 4.0 | 5.0 | GW analysis | GW's analysis of the number of SMC cycles delivered per year | ||||||
18 | ||||||||||||||||||||||||||||||
19 | Counterfactual malaria | |||||||||||||||||||||||||||||
20 | ||||||||||||||||||||||||||||||
21 | Malaria mortalities among the SMC-eligible population | |||||||||||||||||||||||||||||
22 | Malaria mortalities per year among people under age 5 | # | input | - | 16,395 | 4,526 | 4,108 | 3,604 | 1,047 | 3,752 | 3,007 | 3,594 | 1,708 | 1,882 | 3,141 | 801 | 2,258 | 1,857 | 3,182 | 4,919 | 1,880 | 3,724 | GBD 2019 | |||||||
23 | Early neonatal malaria mortalities per year (babies under 7 days old) | # | input | - | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | GBD 2019 | |||||||
24 | Late neonatal malaria mortalities per year (babies between 7 and 27 days old) | # | input | - | 683 | 208 | 288 | 253 | 73 | 263 | 120 | 78 | 67 | 113 | 84 | 49 | 98 | 156 | 160 | 108 | 82 | 214 | GBD 2019 | |||||||
25 | Post-neonatal malaria mortalities per year (babies between 28 and 364 days old) | # | input | - | 5,136 | 1,402 | 1,632 | 1,432 | 416 | 1,491 | 1,570 | 514 | 362 | 591 | 501 | 250 | 584 | 658 | 922 | 727 | 575 | 1,595 | GBD 2019 | |||||||
26 | Number of post-neonatal months of life in which children are under 1 year old | # | input | 11 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||||||||
27 | Number of post-neonatal months of life in which children are under 3 months old | # | input | 2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||||||||
28 | ||||||||||||||||||||||||||||||
29 | Malaria mortality rate among the SMC-eligible population | |||||||||||||||||||||||||||||
30 | Annual malaria mortality rate among people under age 5 | per 100k | input | - | 405 | 136 | 204 | 241 | 240 | 360 | 305 | 256 | 178 | 288 | 332 | 240 | 299 | 262 | 210 | 361 | 169 | 339 | GBD 2019 | |||||||
31 | Total number of months of life in which children are under 5 years old | # | input | 60 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||||||||
32 | Number of months of life in which children are under 3 months old | # | input | 3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||||||||
33 | Adjustment for malaria averted by ITN distributions not accounted for in GBD 2019 | % | input | - | 0% | 0% | 0% | 0% | 0% | 0% | 0% | -5% | -5% | -35% | -5% | -5% | -5% | -5% | -5% | -5% | 0% | 0% | GW guesstimate | |||||||
34 | ||||||||||||||||||||||||||||||
35 | Proportion of malaria mortalities that are among the SMC-eligible population | |||||||||||||||||||||||||||||
36 | Total malaria mortalities per year | # | input | - | 26,305 | 7,194 | 5,327 | 4,674 | 1,358 | 4,866 | 6,890 | 4,545 | 3,094 | 4,418 | 4,607 | 2,471 | 4,450 | 7,027 | 6,893 | 6,247 | 5,436 | 4,838 | GBD 2019 | |||||||
37 | ||||||||||||||||||||||||||||||
38 | Malaria incidence among people under age 15 | |||||||||||||||||||||||||||||
39 | Malaria incidence among people age 1 to 4 | per 100k | input | - | 60,061 | 37,423 | 30,731 | 37,448 | 35,365 | 35,103 | 36,327 | 47,662 | 49,206 | 81,530 | 85,869 | 76,183 | 89,799 | 130,288 | 63,655 | 69,581 | 79,106 | 34,522 | GBD 2019 | |||||||
40 | Malaria incidence among people age 5 to 14 | per 100k | input | - | 24,694 | 16,223 | 30,731 | 37,448 | 35,365 | 35,103 | 36,327 | 19,593 | 20,784 | 31,210 | 33,796 | 29,812 | 33,528 | 48,687 | 25,167 | 28,680 | 30,845 | 34,522 | GBD 2019 | |||||||
41 | ||||||||||||||||||||||||||||||
42 | Outcomes | |||||||||||||||||||||||||||||
43 | ||||||||||||||||||||||||||||||
44 | Mortality reduction among people under age 5 | |||||||||||||||||||||||||||||
45 | Reduction in malaria incidence for children under age 5 targeted for SMC found in GiveWell's adjusted version of the Meremikwu et al. 2012 meta-analysis | % | input | 75% | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW analysis | GW's report on seasonal malaria chemoprevention (SMC) | ||||||
46 | Estimated proportion of children targeted for SMC in trials that received SMC | % | input | 90% | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW analysis | GW's analysis of SMC coverage in trials | ||||||
47 | Internal validity adjustment | % | input | -5% | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW guesstimate | |||||||
48 | External validity adjustment | % | input | 0% | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW guesstimate | |||||||
49 | Adjustment for lower effectiveness outside the Sahel region of Africa | % | input | - | 0% | 0% | -20% | -20% | -20% | -20% | -20% | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0% | -20% | GW analysis | |||||||
50 | Ratio of the reduction in malaria mortality to the reduction in malaria incidence | % | input | 100% | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW guesstimate | |||||||
51 | Indirect malaria deaths per direct malaria death | # | input | 0.75 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW guesstimate | |||||||
52 | Proportion of annual malaria mortality that occurs during the SMC season | % | input | - | 70% | 70% | 52% | 52% | 52% | 52% | 52% | 70% | 70% | 70% | 70% | 70% | 70% | 70% | 70% | 70% | 70% | 62% | GW guesstimate | |||||||
53 | ||||||||||||||||||||||||||||||
54 | Mortality reduction among people over age 5 | |||||||||||||||||||||||||||||
55 | Reduction in malaria incidence among the SMC-eligible population found in Cisse et al. 2016 | % | input | 60% | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Cisse et al. 2016 | |||||||
56 | Reduction in malaria incidence among the population too old to be eligible for SMC found in Cisse et al. 2016 | % | input | 26% | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Cisse et al. 2016 | |||||||
57 | Adjustment for differences in program coverage and transmission intensity in the populations studied by the Cisse et al. 2016 trial and the populations targeted by grantee programs | % | input | -69% | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW analysis | GW's analysis of the indirect effects of Malaria Consortium's SMC programs relative to Cisse et al. 2016 | ||||||
58 | ||||||||||||||||||||||||||||||
59 | Malaria prevalence reduction among people under age 15 | |||||||||||||||||||||||||||||
60 | National population age 1 to 4 | # | input | - | 3,159,820 | 2,593,740 | 10,821,149 | 10,821,149 | 10,821,149 | 10,821,149 | 4,037,237 | 26,401,071 | 26,401,071 | 26,401,071 | 26,401,071 | 26,401,071 | 26,401,071 | 26,401,071 | 26,401,071 | 26,401,071 | 887,125 | 5,581,405 | GBD 2019 | |||||||
61 | National population age 5 to 14 | # | input | - | 6,348,446 | 4,977,421 | 24,065,680 | 24,065,680 | 24,065,680 | 24,065,680 | 8,658,113 | 60,226,437 | 60,226,437 | 60,226,437 | 60,226,437 | 60,226,437 | 60,226,437 | 60,226,437 | 60,226,437 | 60,226,437 | 2,032,781 | 11,987,722 | GBD 2019 | |||||||
62 | ||||||||||||||||||||||||||||||
63 | Long-term income increases for people under age 15 | |||||||||||||||||||||||||||||
64 | Increase in annual income per malaria case averted among people under age 15 | % | input | 0.6% | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW guesstimate | GW's analysis of malaria income effect size | ||||||
65 | Average number of years between receiving SMC and the beginning of long-term benefits | # | input | 12.5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW guesstimate | |||||||
66 | Discount rate for future benefits | % | input | 4.0% | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW analysis | GW's moral weights and discount rate | ||||||
67 | Expected number of years the long-term benefits of receiving SMC will last | # | input | 40 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW guesstimate | |||||||
68 | Multiplier for resource sharing within households | # | input | 2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW analysis | GW's analysis on estimating multiplier for benefits experienced by other household members | ||||||
69 | ||||||||||||||||||||||||||||||
70 | Value of outcomes | |||||||||||||||||||||||||||||
71 | ||||||||||||||||||||||||||||||
72 | Value of outcomes | |||||||||||||||||||||||||||||
73 | Value assigned to averting a malaria-attributable death of a person under age 5 | UoV | input | 116 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW value judgment | GW's moral weights and discount rate | ||||||
74 | Value assigned to averting a malaria-attributable death of a person age 5 or older | UoV | input | 73 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW value judgment | GW's moral weights and discount rate | ||||||
75 | Value assigned to doubling consumption for one person for one year | UoV | input | 1.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW value judgment | GW's moral weights and discount rate | ||||||
76 | Value assigned to increasing ln(consumption) by one unit for one person for one year | UoV | input | 1.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW value judgment | GW's moral weights and discount rate | ||||||
77 | ||||||||||||||||||||||||||||||
78 | Summary of outcomes and initial cost-effectiveness (before final adjustments) | |||||||||||||||||||||||||||||
79 | ||||||||||||||||||||||||||||||
80 | Cost-effectiveness of GiveDirectly | |||||||||||||||||||||||||||||
81 | Value generated per dollar donated to GiveDirectly's unconditional cash transfer program | UoV | input | 0.003 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW analysis | GW's CEA for GiveDirectly's unconditional cash transfers | ||||||
82 | ||||||||||||||||||||||||||||||
83 | Adjustments | |||||||||||||||||||||||||||||
84 | ||||||||||||||||||||||||||||||
85 | Supplemental grantee-level adjustments | |||||||||||||||||||||||||||||
86 | Risk of wastage | |||||||||||||||||||||||||||||
87 | Double treatment | % | input | 0% | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW guesstimate | |||||||
88 | Ineffective goods | % | input | 0% | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW guesstimate | |||||||
89 | Goods purchased and left in storage until they expire / cash doesn't receive recipients or is taken back from them inappropriately | % | input | 0% | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW guesstimate | |||||||
90 | Quality of monitoring and evaluation | |||||||||||||||||||||||||||||
91 | Misappropriation without monitoring results | % | input | 0% | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW guesstimate | |||||||
92 | False monitoring results | % | input | -2% | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW guesstimate | |||||||
93 | Confidence in funds being used for intended purpose | |||||||||||||||||||||||||||||
94 | Change of priorities | % | input | -1% | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW guesstimate | |||||||
95 | Non-funding bottlenecks | % | input | 0% | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW guesstimate | |||||||
96 | Within-org fungibility | % | input | -5% | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW guesstimate | |||||||
97 | ||||||||||||||||||||||||||||||
98 | Supplemental intervention-level adjustments | |||||||||||||||||||||||||||||
99 | Malaria morbidity | % | input | 9% | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW guesstimate | GW's supplemental intervention-level adjustments | ||||||
100 | Short-term anemia effects | % | input | 9% | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | GW guesstimate | GW's supplemental intervention-level adjustments | ||||||