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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].