Table 2.

Multilevel mixed-effects logistic regression models estimating the association between malaria camps and RDT + and/or PCR + Plasmodium infections.

Outcome	Plasmodium infection by PCR only		Plasmodium infection by RDT or PCR
	Crude OR (95% CI)	Adjusted OR (95% CI)1	Crude OR (95% CI)	Adjusted OR (95% CI)1
Plasmodium infection at follow-up 3 by study arm
Arm B Delayed MC	1.0	1.0	1.0	1.0
Arm A New MC	0.34 (0.16, 0.71)	0.36 (0.17, 0.74)	0.33 (0.16, 0.69)	0.35 (0.17, 0.72)
Arm C Old MC	0.63 (0.17, 2.27)	0.64 (0.18, 2.30)	0.62 (0.17, 2.22)	0.63 (0.18, 2.25)
Model fit statistics
Log likelihood	−914.96	−902.38	−922.53	−910.12
Model p-value	< 0.001	< 0.001	< 0.001	< 0.001
Akaike's Information Criteria (AIC)	1845.92	1828.77	1861.07	1844.24
Bayesian Information Criteria (BIC)	1897.08	1905.48	1912.30	1921.05

RDT = rapid diagnostic test; PCR = polymerase chain reaction; OR = odds ratio; CI = confidence interval; MC = malaria camp.

¹Adjusted for baseline Plasmodium infection, age, and gender.