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Table 2 Factors associated with mosquito larval habitat detection coverage

From: Community-owned resource persons for malaria vector control: enabling factors and challenges in an operational programme in Dar es Salaam, United Republic of Tanzania

Interviewee response

Proportion of respondent CORPs

%(a/64)

Proportion of habitats detected by CORPs

%(n/N)

OR [95%CI]

P

Clear knowledge of project goal and advocacy level

NA

NA

NA

0.002

Complete

59 (38)

70.0 (1281/1829)

1.00b

NA

Incomplete

41 (26)

59.4 (675/1136)

0.596 [0.403,0.880]

0.009

Who individuals were recruited by

NA

NA

NA

0.004

Community local leaders

79 (50)

68.4 (1625/2375)

1.00b

NA

Project administrative staff

22 (14)

56.1 (331/590)

0.660 [0.438,0.995]

0.047

Perceived relationship with the residents

NA

NA

NA

0.028

Very supportive

64 (41)

62.7 (1068/1703)

1.00b

NA

Reasonably supportive

36 (23)

70.4 (888/1262)

1.627 [1.053,2.515]

0.028

Time spent to get to the field

NA

NA

NA

0.011

Less than or equal to quarter an hour

73 (47)

65.0 (1477/2273)

1.00b

NA

Above quarter but less than half an hour

17 (11)

78.5 (350/446)

1.943 [0.965,3.912]

0.063

More than half an hour to one hour

9 (6)

52.4 (129/246)

0.522 [0.288,0.946]

0.032

  1. The probability that a wet habitat was detected by the CORPs was modelled with a binary distribution and logit link function using Generalised Estimating Equations (GEE) treating clarity and advocacy level, recruiting level, relationship with the residents and the time individuals used to get to the field as potential predictors (exluded factors included: where individuals lived (P = 0.997) and frequency of field visits by supervisor (P = 0.892))
  2. a number of CORPs
  3. CI: confidence interval
  4. OR: Odds ratio
  5. b the reference group for the particular variable
  6. N: the number of wet habitats found during the cross-sectional surveys
  7. N: the number of wet habitats found by CORPs during their routine habitat survey,
  8. NA: Not applicable