Skip to main content

Table 2 The prevalence of malaria infection based on RDTs alone and blood slide corrected RDT results in primary school children by province in Kenya, 2008 - 2010.

From: Implementing school malaria surveys in Kenya: towards a national surveillance system

 

Plasmodium spp.

N1

Malaria Prevalence by RDTs (%, 95% CI)2

Malaria Prevalence: slide corrected

(%, 95% CI)3

Slide corrected prevalence category (n, %)

0%

0.1-4.9%

5-39.9%

≥40%

Total

480/49,891

7.6 (6.4 - 8.9)

4.3 (3.3 - 5.2)

296 (61.7)

98 (20.4)

75 (15.6)

11 (2.3)

Province

       

   Nyanza

90/9,299

19.6 (16.0 - 23.1)

9.3 (6.8 - 11.9)

30 (33.3)

25 (27.8)

31 (34.4)

4 (4.4)

   Western

37/3,892

32.4 (25.2 - 39.6)

21.6 (14.6 - 28.7)

5 (13.5)

8 (21.6)

17 (45.9)

7 (18.9)

   Central

22/2,387

0

0

22 (100)

0

0

0

   Rift Valley

87/9,202

1.2 (0.7 - 2.0)

0.8 (0.4 - 1.5)

66 (75.9)

16 (18.4)

5 (5.7)

0

   Nairobi

10/917

1.9 (1.2 - 3.0)

1.1 (0.6 - 1.6)

3 (30.0)

7 (70.0)

0

0

   Eastern

52/5,355

0.2 (0.1 - 0.4)

0.1 (0.0 - 0.2)

49 (94.2)

3 (5.8)

0

0

   North Eastern

43/4,087

1.0 (0.5 - 1.5)

0

43 (100)

0

0

0

   Coast

139/14,752

3.8 (2.9 - 4.6)

2.3 (1.7 - 2.9)

78 (56.1)

39 (28.1)

22 (15.8)

0

  1. 1 Number of schools surveyed/children tested, excluding schools without microscopy results.
  2. 2 Prevalence and 95% binomial confidence (CI) intervals were calculated using a zero inflated Poisson model adjusted for clustering at the school level, except in Nairobi, Rift Valley and Eastern provinces where a random effects cluster adjusted Poisson model was used.
  3. 3 Prevalence and 95% binomial confidence (CI) intervals were calculated using a zero inflated Poisson model adjusted for clustering at the school level, except in Nairobi and Rift Valley provinces where a random effects Poisson model was used.