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Table 5 Longitudinal regression analysis of pre-post control group design on site specific data

From: Entomological efficacy of durable wall lining with reduced wall surface coverage for strengthening visceral leishmaniasis vector control in Bangladesh, India and Nepal

Time/Model

Parameter

IRR [95 % CI] (p-value)

  

DWL-RWSC

DWL-FWSC

Bangladesh Site

 - Simple model

Unadjusted Intervention effect

0.476 [0.282, 0.801] (0.005)

0.432 [0.223, 0.836] (0.013)

  − Full model

Adjusted Intervention effect

0.476 [0.282, 0.801] (0.005) a

0.432 [0.223, 0.836] (0.013) b

India Site

 - Simple model

Unadjusted Intervention effect

0.069 [0.016, 0.303] (<0.0001)

0.077 [0.010, 0.603] (<0.015)

 - Full model

Adjusted Intervention effect

0.069 [0.016, 0.303] (<0.0001) c

0.077 [0.010, 0.603] (<0.015) d

Nepal Site

 - Simple model

Unadjusted Intervention effect

0.219 [0.120, 0.402] (<0.0001)

0.244 [0.156, 0.380] (<0.0001)

 - Full model

Adjusted Intervention effect

0.219 [0.120, 0.402] (<0.0001) e

0.244, [0.156, 0.380] (<0.0001) f

  1. Abbreviations: DWL-RWSC wall surface coverage with DWL up to 1.5 m in height from floor, DWL-FWSC wall surface coverage with DWL up to 1.8 m in height from floor
  2. aFull model adjusted by the covariates: Family member slept at Varanda, HH asset score, HH knowledge about VL vector, Regular use of bed-net
  3. bFull model adjusted by the covariates: HH asset score, Crack in wall, House sprayed in last 6 months
  4. cSimilar to crude regression model as none of the variables identified as confounders by the bivariae analysis
  5. dFull model adjusted by the covariates: Family size > =5, # of bed-net <2 in house
  6. eSimilar to crude regression model as none of the variables identified as confounders by the bivariae analysis
  7. fFull model adjusted by the covariates: Mud wall, HH asset score, Crack in wall, House sprayed in last 6 months