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Table 4 Logistic regression models to explore the associations between dependent variables and proneness to have malaria infection (n = 1045)

From: Predictors of malaria rapid diagnostic test positivity in a high burden area of Paletwa Township, Chin State in Western Myanmar

Description

cOR

95% CI

aOR

95% CI

Type of household

 Others

1.0

 

1.0

 

 Hut

3.2

(1.6–7.4)

2.3

(1.2–4.6)

Having farm animals (cattle/pigs)

 Yes

2.5

(1.4–5.4)

1.7

(1.1–3.6)

 No

1.0

 

1.0

 

Type of toilet

 Septic

1.0

 

1.0

 

 Non-septic

3.3

(2.1–9.4)

1.9

(1.1–8.4)

Having fever

 Yes

1.9

(1.2–2.9)

1.9

(1.1–3.0)

 No

1.0

 

1.0

 

Having episode of malaria in last year

 Yes

3.8

(2.1–7.1)

2.9

(1.4–5.8)

 No

1.0

 

1.0

 

Traveling to malaria endemic area of outside the village

 Yes

5.5

(2.1–14.2)

4.5

(1.5–13.4)

 No

1.0

 

1.0

 

Use of bed nets

 Yes

1.0

 

1.0

 

 No

3.7

(2.5–5.3)

3.4

(2.3–5.1)

  1. 95% CI: 95% confidence interval, cOR: crude odd ratio by simple logistic regression, aOR: adjusted odd ratio by multiple logistic regression