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Table 2 Assessment of knowledge related to malaria transmission characteristics, before and after implementation of IVM in Botor-Tolay district southwestern Ethiopia (2015–2018)

From: Community based integrated vector management for malaria control: lessons from three years’ experience (2016–2018) in Botor-Tolay district, southwestern Ethiopia

Variables

Attributes

Year

X2-square, p-value

2015 n(%)

2018 n(%)

understand mosquito bite as means of malaria transmission

Yes

170 (85)

181 (90.5)

P = 0.093

No

30 (15)

19 (9.5)

understand malaria vector mosquitoes biting time (night)

Yes

141 (70.5)

184 (92)

P < 0.001

No

59 (29.5)

16 (8)

Correctly identify potential mosquito breeding habitats (stagnant water)

Yes

161 (80.5)

170 (85)

P = 0.234

No

39 (19.5)

30 (15)

Correctly identify at least three malaria symptoms

Yes

148 (74)

154 (77)

P = 0.485

No

52 (26)

46 (23)

Identify mainstay malaria vector control interventions (IRS, LLINS)

Yes

142 (71)

150 (75)

P = 0.368

No

58 (29)

50 (25)

Malaria is treatable disease

Yes

180 (90)

178 (89)

P = 0.744

No

20 (10)

22 (11)

Correctly identify peak malaria season

Yes

74 (37)

166 (83)

P < 0.001

No

126 (63)

34 (17)

Know that walls should not be plastered for at least 6 months post-IRS

Yes

94 (47)

164 (82)

P < 0.001

No

106 (53)

36 (18)

Know that larval source management is useful vector control method

Yes

105 (52.5)

176 (88)

P < 0.001

No

95 (47.5)

24 (12)

Discuss malaria related issues during family get together

Yes

89 (44.5)

99 (49.5)

P = 0.316

No

111 (55.5)

101 (50.5)