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Table 3 House eaves screening impact on malaria parasite prevalence rate in the study area

From: Evaluating effectiveness of screening house eaves as a potential intervention for reducing indoor vector densities and malaria prevalence in Nyabondo, western Kenya

Characteristic

Baseline survey

1st follow-up

2nd follow-up

3rd follow-up

Overall

With baseline

Without baseline

Malaria parasite prevalence, % (95% CI)*

Control

5.2 (3.4–8.1)

6.9 (5.0–9.4)

10.1 (6.6–15.3)

4.1 (2.2–7.9)

6.3 (4.8–8.3)

6.7 (4.9–9.2)

Experimental

10 (4.5–22.2)

0

3.7 (1.3–10.7)

0

3.0 (1.5–6.0)

1.4 (0.4–4.5)

Risk reduction, % (p value)

Increase

100% (p < 0.001)

63.6% (p = 0.026)

100% (p < 0.001)

52.4% (p = 0.019)

79.1% (p = 0.006)

Total prevalence

6.1 (3.9–9.4)

4.6 (3.5–5.9)

8.2 (5.1–13.2)

3.6 (2.0–6.8)

5.6 (4.2–7.5)

5.4 (3.9–7.5)

House screening impact on malaria parasite prevalence, OR (95% CI), p value@

 

Control

Reference

     

Experimental

2.01 (0.88–4.57), p = 0.096

0, p < 0.001

0.35 (0.14–0.85), p = 0.021

0, p < 0.001

0.46 (0.24–0.87), p = 0.017

0.20 (0.06–0.61), p = 0.005

  1. *Malaria parasite prevalence was calculated and 95% confidence intervals estimated using binomial logistic regression model while accounting for house clustering
  2. @The impact of house screening on malaria prevalence was calculated and odds ratios (ORs) estimated using multilevel mixed effects logistic regression model while accounting for house clustering