Skip to main content

Table 2 Association of malaria infection status with age, sex, LLINs, IRS, number of tests conducted per participant, geographical location, season and IRS insecticide used

From: Incremental impact upon malaria transmission of supplementing pyrethroid-impregnated long-lasting insecticidal nets with indoor residual spraying using pyrethroids or the organophosphate, pirimiphos methyl

Category

DP %

N/N (I)

OR [95 % CI]

P

Overall

21.7

31,974/147,257 (25,354)

0.13 [0.08, 0.21]

<0.001

Age

 <1

14.2

501/3535 (1735)

1.26 [1.09, 1.45]

0.001

 1–4

24.0

6127/25,505 (5677)

2.75 [2.54, 2.98]

<0.001

 5–10

27.4

10,066/36,779 (7608)

3.62 [3.35, 3.91]

<0.001

 11–14

26.0

4892/18,840 (4746)

3.36 [3.09, 3.65]

<0.001

 15–24

20.3

4491/22,077 (5685)

2.04 [1.88, 2.22]

<0.001

 25–44

14.9

4028/27,044 (5807)

1.24 [1.14, 1.34]

<0.001

 ≥45

13.8

1796/13,027 (2903)

1 [NA]

NA

Sex

 Male

23.3

16,068/79,208 (12,008)

1 [NA]

NA

 Female

20.3

15,750/67,567 (13,228)

0.86 [0.83, 0.90]

<0.001

Interventions

 LLINs

20.0

20,613/103,149 (20,706)

0.89 [0.85, 0.93]

<0.001

 IRS

17.4

7568/43,560 (9926)

0.87 [0.82, 0.93]

<0.001

 Number of tests conducted per participant

21.7

31,974/147,257(25,354)

0.97 [0.97, 0.98]

<0.001

Type of visit

 Passive

43.4

6416/14,785 (8922)

1 [NA]

NA

 Active

19.2

25,281/131,359 (22055)

0.29 [0.28, 0.31]

<0.001

 Clusters

Luangwa district

Sinyawagora RHC

19.7

1314/6655 (1959)

2.86 [1.65, 4.97]

<0.001

Kasinsa RHC

16.7

2232/13,402 (3429)

4.67 [2.78, 7.84]

<0.001

Chitope RHC

19.6

3419/17,463 (1215)

2.92 [2.04, 4.17]

<0.001

Luangwa High School RHC

16.5

2854/17,320 (1158)

7.37 [4.31, 12.61]

<0.001

Mphuka RHC

24.9

2981/11,957 (2147)

7.37 [4.31, 12.61]

<0.001

Mandombe RHC

10.3

1386/13,508 (1805)

1.54 [0.89, 2.66]

0.119

Luangwa Boma RHC

6.4

839/13,161 (2033)

1 [NA]

NA

Nyimba district

Kacholola RHC

26.7

3108/11,654 (1166)

7.50 [4.75, 11.84]

<0.001

Hofmeyer RHC

41.9

2601/6214 (2120)

15.81 [10.20, 24.52]

<0.001

Mtilizi RHC

37.6

2238/5949 (2024)

12.35 [7.72, 19.76]

<0.001

Mtilizi RHP

25.3

2478/9788 (3379)

13.49 [8.45, 21.56]

<0.001

Chinambi RHC

31.9

1740/5463 (1741)

9.16 [5.79, 14.48]

<0.001

Mkopeka RHC

32.8

2761/8413 (1311)

14.22 [8.55, 23.63]

<0.001

Chipembe RHC

32.1

2023/6310 (1916)

13.54 [8.03, 22.84]

<0.001

Season

 Hot & wet (Dec–April)

25.3

18,283/72,217 (20,243)

4.20 [3.67, 4.81]

<0.001

 Cool & dry (May–Aug)

23.9

11,216/46,860 (16,513)

3.25 [2.80, 3.76]

<0.001

 Hot & dry (Sept–Nov)

8.7

2444/27,983 (12,590)

1 [NA]

NA

Insecticide applied for IRS

Deltamethrine

1–3 months since last spray

13.3

322/2419 (2166)

0.81 [0.65, 1.01]

0.064

4–6 months since last spray

23.8

2411/10,150 (4231)

1.07 [0.94, 1.23]

0.295

7–12 months since last spray

13.6

2128/15,640 (4434)

1.16 [1.03, 1.30]

0.013

Never sprayed and >13 months since last spray

22.8

27,083/118,899 (23,233)

1 [NA]

NA

Lambdacyhalothrin

1–3 months since last spray

4.7

145/3102 (1526)

0.69 [0.53, 0.90]

0.006

4–6 months since last spray

9.4

207/2199 (1264)

1.26 [1.01, 1.57]

0.042

7–12 months since last spray

4.5

157/3508 (1469)

0.94 [0.74, 1.21]

0.653

Never sprayed and >13 months since last spray

22.7

31,435/138,299 (24,931)

1 [NA]

NA

Primiphosmethyl EC

1–3 months since last spray

18.9

1922/10,194 (5527)

0.77 [0.69, 0.85]

<0.001

4–6 months since last spray

28.8

2666/9259 (5926)

0.64 [0.58, 0.71]

<0.001

7–12 months since last spray

16.0

1793/11,184 (5760)

0.63 [0.56, 0.71]

<0.001

Never sprayed and >13 months since last spray

21.9

25,563/11,6471 (22,311)

1 [NA]

NA

Primiphosmethyl CS

1–3 months since last spray

13.0

468/3590 (2675)

0.37 [0.31, 0.43]

<0.001

4–6 months since last spray

30.6

1386/4536 (3349)

0.24 [0.21, 0.27]

<0.001

7–12 months since last spray

49.5

95/192 (191)

1.35 [0.85, 2.15]

0.204

Never sprayed and >13 months since last spray

21.6

29,995/138,790 (24,588)

1 [NA]

NA

  1. The association of malaria infection with age, sex, use of LLINs, use of IRS, geographical location (cluster), number of tests conducted per participant, season and insecticide used in IRS was determined using GLMM; with observed malaria RDT determined status as a binary dependent outcome with the independent categories of age, sex, access and use of LLINs or IRS, insecticide used in IRS, number of tested conducted per participant and seasons. The models included date and participant nested within CHW catchment nested within geographical location (cluster) as random effects except for one in which cluster was treated as a categorical variable to determine the effects of each cluster. The final model consisted of age, sex, access and use of LLINs or IRS, insecticide used in IRS, season, number of tests conducted per participant and geographical location as the determinants of malaria infection
  2. DP RDT-determined diagnostic positivity, n Number RDT positive, N Total number tested by RDT, I Number of individuals that participated in RDT testing, OR Odds ratio, CI Confidence intervals, P Probability of the null hypothesis, NA Not applicable because reference group