Sudan | Kenya | Cameroon | Benin | India | |
---|---|---|---|---|---|
Outcome indicators | |||||
Active case detection: average cohort size per cluster; age group in years | 200; 0.5–10 | 80; 0.5–5 | 80; 0.5–5 | 70; 0.5–5 | 93; 0.5–14 |
Active infection detection: cohort size per cluster; age group in years | 20; 0.5–5 | 20; 0.5–5 | 30; 0.5–5 | ||
Cross sectional prevalence of infection (✔); sample per cluster; age range in years | ✔; 100; 0.5–10 | ✔; 50; 0.5–5 | ✔; 80; 0.5–5 | ✔; 40; 0.5–5 | |
Passive case detection from clinic registers (✔) | ✔ | ✔ | |||
Statistical power assumptions | |||||
Number of clusters | 140 (66 sentinel, randomly selected by study arm) | 50 | 38 | 32 | 80 |
Indicator | Active case detection incidence | Active case detection incidence | Active case detection incidence | Active case detection incidence | Active case detection incidence |
Power; significance, ka | 80%; 5%; 0.5 | 80%; 5%; 0.4 | 80%; 5%; 0.4 | 80%; 5%; 0.4 | 80%; 5%; 0.3 |
Minimum detectable difference in incidence between low and high resistance clusters/rate ratio high to low resistance | 30%; 1.3 | 40%; 1.4 | 50%; 1.5 | 54%; 1.54 | 50%; 1.5 |
Assumed incidence in low resistance clusters; number of years follow-up | 0.030 per annum; 3 | 1.4 per annum; 2 | 0.6 per annum; 2 | 1.4 per annum; 2 | 0.015 per annum; 2 |
Study schedule | 2011–2015 | 2012–2015 | 2012–2015 | 2012–2015 | 2013–2016 |