Skip to main content

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