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Table 2 Comparison of mean numbers of Anopheles mosquitoes caught by UV-LT, CDC-LT and aspiration to HLC

From: Comparison of different trapping methods to collect malaria vectors indoors and outdoors in western Kenya

Species

Collection position

Collection method*

Mean daily trap catch

RR (95% CI)

P-value

An. funestus

Indoors

CDC-LTa

1.74 (1.02–2.45)

1.89 (1.07–3.34)

0.028

UV-LTb

3.70 (2.59–4.82)

3.97 (2.28–6.92)

 < 0.001

Aspirationc

6.74 (4.69–8.78)

8.83 (4.72–16.52)

 < 0.001

HLCd (Ref)

0.97 (0.61–1.39)

Ref

Ref

Outdoors

CDC-LTa

1.00 (0.74–1.40)

3.09 (1.62–5.90)

 < 0.001

UV-LTb

1.69 (1.06–2.32)

5.18 (2.68–10.00)

 < 0.001

Aspirationc

0.06 (0.01–0.12)

0.21 (0.07–0.67)

0.008

HLCd (Ref)

0.37 (0.15–0.60)

Ref

Ref

An. arabiensis

Indoors

CDC_LTa

0.18 (0.06–0.29)

5.75 (1.20–27.48)

0.028

UV-LTa

0.18 (0.07–0.30)

5.87 (1.22–28.34)

0.028

Aspirationab

0.10 (0.03–0.17)

3.38 (0.64–17.90)

0.152

HLCb (Ref)

0.03 (0–0.08)

Ref

Ref

Outdoors

CDC-LTab

0.15 (0.05–0.26)

10.81 (1.34–87.35)

0.026

UV-LTb

0.22 (0.11–0.33)

15.64 (1.97–124.36)

0.009

Aspirationac

0.05 (0–0.11)

3.59 (0.38–34.28)

0.267

HLCc (Ref)

0.01 (0–0.04)

Ref

Ref

An. coustani

Indoors

CDC-LTa

0.29 (0–0.64)

2.01 (0.50–8.03)

0.325

UV-LTa

0.08 (0.02–0.15)

0.89 (0.18–4.47)

0.887

Aspiration

0

–

–

HLCa (Ref)

0.08 (0–0.18)

Ref

Ref

Outdoors

CDC-LTa

2.14 (0.46–3.82)

11.22 (4.95–25.43)

 < 0.001

UV-LTa

3.74 (1.28–6.20)

11.65 (5.18–26.20)

 < 0.001

Aspirationb

0.23 (0.05–0.41)

1.25 (0.30–5.17)

0.755

HLCb (Ref)

0.29 (0–0.58)

Ref

Ref

  1. *Post hoc comparison of the trapping methods. Methods bearing the same letter do not differ significantly at 5% level. Note that for An. coustani indoors, pairwise comparisons with aspiration could not be done as there were no females of this species collected by aspiration
  2. All variables with the same letter implies that the trapping methods do not differ significantly at 5% level based on mean daily trap catch for each mosquito species. If two variables have different letters, they are significantly different at 5% level