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Table 2 Study implementation details by country

From: Design of a study to determine the impact of insecticide resistance on malaria vector control: a multi-country investigation

  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
  1. aCoefficient of variation in incidence between clusters [18].