2017 Worm Intensity Workbook — Version 2
 Share
The version of the browser you are using is no longer supported. Please upgrade to a supported browser.Dismiss

 
View only
 
 
ABCDEFGHIJKLMNOPQRSTUV
1
ProgramEggs per gramPrevalence rate
2
Program WeightAscarisWhipwormHookwormSchistosomiasis mansoniSchistosomiasis haematobium (eggs/10mL)AscarisWhipwormHookwormSchistosomiasis mansoniSchistosomiasis haematobiumAny infectionAny STHSources
3
Miguel and Kremer 2004
4
Group 1 schools — 1998 pre-treatment23371614269142%55%77%22%92%89%Miguel and Kremer 2004, Pg 168, Table 2.
5
SCISource Key
6
Ethiopia18%1858109010%4%5%4%0%Ethiopia, Impact Survey – Baseline 2015/16, p. 6
7
Malawi13%000240%0%0%2%10%0%Malawi 2nd Follow-Up Survey report, p. 11
8
Mozambique13%2791296%4%11%3%26%SCI 2016 report to DFID, p. 10 & Fiona Fleming, emails to GiveWell, November 2 2016 and November 7 2016
9
DRC11%125996259532%3%25%Democratic Republic of Congo Baseline Impact Survey 2015, p. 4 & SCI 2016 report to DFID, p. 9
10
Madagascar4%1161214623%1%1%5%31%Madagascar Baseline Impact Survey 2015, p. 6
11
Tanzania6%00462920%0%10%2%10%SCI 2016 report to DFID, p. 10 & Fiona Fleming, email to GiveWell, November 2, 2016
12
Cote d'Ivoire5%10815443462%1%13%16%10%Fiona Fleming, email to GiveWell, November 7, 2016
13
Zambia2%8314286143%0%11%2%10%Zambia ICOSA Baseline Report, p. 11
14
Uganda4%1012431%3%15%6%0%Unpublished studies shared with GiveWell
15
Liberia1%405164213%1%15%26%20%SCI report to DFID (October 2013), Annex 1, p. 26
16
Weighted average — SCI237181316115%2%7%8%10%
17
Deworm the World
18
Bihar25%14776133052%5%42%0%68%68%DtWl Bihar 2011 Prevalence Survey Report, p. 4
19
Rajasthan10%31101020%0%1%0%21%21%DtWI Rajasthan 2013 Prevalence Survey Report, p. 6
20
Madhya Pradesh8%00600%0%12%0%12%12%DtWI Madhya Pradesh 2015 Program Report, p. 37
21
Kenya10%165333641218%7%16%2%Mwandawiro et al. 2013
22
Uttar Pradesh8%6889317070%5%23%0%76%76%DtWI Uttar Pradesh Prevalence Survey Report, p. 20
23
Delhi0%9031012%6%1%0%16%16%DtWI Delhi 2012 Prevalence Survey Report, p. 3
24
Chhattisgarh3%710206070%0%11%0%75%75%DtWI Chhattisgarh Prevalence Survey Report, p. 17
25
Pakistan13%578682018%9%6%0%GiveWell's unpublished analysis of baseline prevalence in areas Deworm the World plans to work in Pakistan
26
Nigeria23%63534127%5%7%3%3%GiveWell's unpublished analysis of baseline prevalence in areas Deworm the World may work in Nigeria
27
Weighted average — Deworm the World15651543233%5%18%1%53%52%
28
Sightsavers
29
Guinea3%898209812%14%24%52%52%Sightsavers prevalence workbook (All countries)
30
DRC6%6954110%8%7%2%2%
31
Nigeria90%601003%0%17%0%17%
32
Weighted average — Sightsavers1311044%1%17%2%17%
33
The END Fund
34
Zimbabwe7%50243%0%3%7%20%Unpublished END Fund prevalence workbook (All countries)
35
DRC16%323414321%7%20%7%3%
36
Nigeria16%626557027%9%34%1%2%
37
Ethiopia28%6623210%4%5%4%0%
38
Weighted average of anonymized locations33%90225331%3%9%6%16%
39
Weighted average — The END Fund466314221%5%13%5%8%
40
Worm burden compared to Miguel and Kremer 2004
41
SCI10%11%3%18%11%4%9%38%
42
Deworm the World67%9%10%2%79%8%23%5%57%59%
43
Sightsavers1%0%2%4%9%2%22%10%
44
END Fund20%2%3%2%50%9%17%21%
45
Intensity normalized to moderate intensity threshold
46
Moderate Intensity threshold (EPG)5000400750250Miguel and Kremer 2004, Pg 168, Table 2.
47
Miguel and Kremer47%40%57%36%
48
SCI5%5%2%7%
49
Deworm the World31%4%6%1%
50
Sightsavers0%0%1%1%
51
END Fund9%1%2%1%
52
Quadratic polynomial parameters (Lo et al. 2016)
53
P1139106712491156
54
P24432-49-656219
55
P375579635
56
Values marked in yellow are intensity estimates calculated based on the model presented in Lo et al. 2016. The model allows estimation of worm intensity in terms of eggs per gram when only prevalence information is available.
57
Lo et al. 2016
58
Lo et al. 2016—Supplementary Appendix
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
Loading...
 
 
 
Worm intensity by program
Treatments by location
Worm intensity adjustment calculations
Custom adjustment