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Table 4 Optimum stepwise multiple regression models relating monthly malaria incidence with environmental and climatic factors at the three dam sites

From: Environmental and meteorological factors linked to malaria transmission around large dams at three ecological settings in Ethiopia

Model

Predictors

Non-standardized coefficienta

Adjusted R2

Sig.

Lowland dam

 1

Village distance from reservoir shoreline (lagged by 1 month)

− 9.46

0.468

< 0.001

 2

Village distance from reservoir shoreline (lagged by 1 month), monthly change in reservoir water level (lagged by 1 month)

4..61

0.657

< 0.001

 3

Village distance from reservoir shoreline (lagged by a month), monthly change in reservoir water level (lagged by 1 month), monthly total precipitation (lagged by 2 months)

2.49

0.813

< 0.001

Midland dam

 1

Village distance from reservoir shoreline (lagged by 1 month)

− 5.47

0.398

< 0.001

 2

Village distance from reservoir shoreline (lagged by 1 month), monthly reservoir water level (lagged by 2 month)

3.89

0.532

< 0.001

 3

Village distance from reservoir shoreline (lagged by 1 month), monthly reservoir water level (lagged by 2 months), monthly total precipitation (lagged by 2 month)

0.66

0.711

< 0.001

Highland dam

 1

Village distance from reservoir shoreline (lagged by 1 month)

− 1.98

0.324

< 0.001

 2

Village distance from reservoir shoreline (lagged by 1 month), monthly change in reservoir water level

2.04

0.698

< 0.001

 3

Village distance from reservoir shoreline (lagged by 1 month), monthly change in reservoir water level (lagged by 2 months), monthly minimum temperature precipitation (lagged by 1 month)

2.75

0.765

< 0.001

  1. aThe non-standardized coefficient of a variable is also referred as ‘effect size’ which indicates the result of a single unit increase in this variable on malaria incidence