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Table 3 Predictive factors associated with clinical malaria incidences

From: Clinical malaria incidence and health seeking pattern in geographically heterogeneous landscape of western Kenya

Risk factors

Category

Coefficient

Odd ratio (95% CI)1

p-value

Topographical zones

Lakeshore

0.698

2.01 (1.63, 2.49)

 < 0.0001

Hillside

0.386

1.47 (1.18, 1.84)

 < 0.0001

Highland plateau

 

1

 

Gender

Female

− 0.182

0.83 (0.70, 0.99)

0.042

Male

 

1

 

Age group

 < 5 years

0.683

1.98 (1.54, 2.54)

 < 0.0001

5–14 years

0.695

2.00 (1.66, 2.43)

 < 0.0001

 ≥ 15 years

 

1

 

Temperature

 < 37.5 °C

− 1.423

0.27 (0.21, 0.34)

 < 0.0001

 ≥ 37.5 °C

 

1

 

Seasonality

Wet

− 0.07

0.93 (0.79–1.11)

0.427

Dry

 

1

 

Travel history

No

− 0.103

1.10 (0.69, 1.74)

0.693

Yes

 

1

 

Bed net usage

No net

0.087

0.78 (0.57, 1.07)

0.121

Use net

 

1

 
  1. 1Multivariate binary logistic regression model used for risk factor analysis