Skip to main content

Advertisement

Table 6 Mixed-effects logistic regression model on determinants of malaria infection

From: Spatio-temporal prevalence of malaria and anaemia in relation to agro-ecosystems in Mvomero district, Tanzania

Variable Unadjusted Adjusted
OR (95% CI) OR (95% CI)
Gender
 Male 1.22 (1.11, 1.34)*** 1.16 (1.05, 1.29)**
 Female 1.00   1.00  
Age category (years)
 0–5  1.00   1.00  
 6–9 1.13 (0.96, 1.33) 1.5 (1.25, 1.79)***
 10–15 1.56 (1.31, 1.85)*** 1.24 (1.03, 1.5)**
 > 15 0.37 (0.29, 0.46)*** 0.32 (0.25, 0.4)***
Usage of mosquito net
 No 1.00   1.00  
 Yes 0.75 (0.67, 0.83)*** 0.74 (0.66, 0.84)***
Subject groupa
 Schoolchildren 2.26 (2.02, 2.53)***  
 General community 1.00   1.00  
Season (round of survey)
 Round 1 (August: dry and cool) 1.61 (1.4, 1.84)*** 1.98 (1.71, 2.3)***
 Round 2 (November: short rains) 1.71 (1.49, 1.96)*** 1.92 (1.65, 2.24)***
 Round 3 (February: dry and hot) 1.00   1.00  
 Round 4 (May: long rains) 1.56 (1.36, 1.79)*** 1.69 (1.45, 1.96)***
Villagea
 Komtonga 25.14 (19.56, 32.3)***  
 Mkindo 10.89 (8.52, 13.92)***  
 Mbogo 8.96 (6.99, 11.48)***  
 Dihombo 5.76 (4.48, 7.41)***  
 Luhindo 4.9 (3.8, 6.33)***  
 Dakawa 3.34 (2.56, 4.36)***  
 Mtibwa 1.00    
Water shaded area
 High 13.3 (10.59, 16.71)*** 15.77 (6.66, 37.36)***
 Medium–Low 4.66 (3.7, 5.88)*** 4.81 (2.03, 11.4)***
 Dry 1.00   1.00  
Ecosystema
 Savannah 10.94 (8.73, 13.71)*** 1.00
 Rice-irrigation 4.12 (3.24, 5.24)***  
 Sugarcane 1.00   1.00
  1. ***p < 0.001, **p < 0.01
  2. aNot included in the multiple regression model due to high correlation or multicollinearity