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. 2018 Sep 4;99(4):995–1002. doi: 10.4269/ajtmh.18-0417

Table 4.

Logistic regression analysis of Plasmodium vivax infection explanatory variables

P. vivax (molecularly diagnosed; 98.5% sub-microscopic)
Univariable model Multivariable model
N* PvPR† OR 95% CI‡ P AOR 95% CI‡ P
Sex Female 1,086 6.2% Reference Not selected
Male 977 7.2% 1.17 (0.83–1.66) 0.3700
Age (year) 2,061 6.6% 0.99 (0.98–1.00) 0.2600
Exposure (year)§ 2,050 6.6% 0.89 (0.85–0.92) < 0.0001
Ethnicity‖ Other 103 4.9% Reference Reference
Betsileo 455 5.7% 1.55 (0.52–6.55) 0.3600 0.98 (0.32–4.27) 0.0074
Merina 1,505 7.0% 1.92 (0.70–7.92) 2.01 (0.71–8.44)
Water distance (m)¶ 2,063 6.6% 1.00 (1.00–1.00) 0.4100 Not selected
Insecticide-treated bednet ownership No 242 14.9% Reference Reference
Yes 1,810 5.6% 0.34 (0.23–0.51) < 0.0001 0.46 (0.30–0.71) 0.0004
Health center Center 775 0.8% Reference Reference
North 492 15.0% 22.69 (10.64–58.85) < 0.0001 22.68 (10.51–59.26) < 0.0001
South 796 7.2% 9.89 (4.59–25.77) 8.41 (3.88–22.03)
Fever# No 1904 6.4% Reference Not selected
Yes 111 9.9% 1.62 (0.80–2.98) 0.1400

Only two P. vivax infections were identified by light microscopy.

*

–# See notes from Table 3.