Do malaria vector control measures impact disease-related behaviour and knowledge? Evidence from a large-scale larviciding intervention in Tanzania

Table 2 Effect size estimates of the larviciding intervention on reported bed net usage the night before the survey

Outcome: Bed net usage (N = 64,537)	Model 1		Model 2		Model 3
	PR*	95% CrI†	PR*	95% CrI†	PR*	95% CrI†
Univariate
Larviciding intervention	0.94	(0.93-0.96)	0.94	(0.93-0.96)	0.95	(0.93-0.96)
Time since initiation of larviciding (years)	-	-	-	-	0.98	(0.96-0.99)
Multivariable‡
Larviciding intervention	0.96	(0.94-0.97)	0.95	(0.94-0.97)	0.96	(0.94-0.97)
Time since initiation of larviciding (years)	-	-	-	-	0.98	(0.97-0.99)
Trend for time (AR1§)	Yes		Yes		Yes
Random effects (Household and TCU)	Yes		Yes		Yes
Fixed effects at ward level			Yes		Yes

Statistically significant results are bolded.
To account for the fact that the coefficients of the ward fixed effects exhibited slow convergence, the number of iterations used for inference was doubled to 120,000 for Models (2) and (3).
*PR: Prevalence ratio.
†CrI: Credible interval.
§AR1: First-order autoregressive.
‡Control variables include: age, gender, dummy for being a follow-up observation, use of insect repellent, use of sprays, use of coil, living in a house with window screens, socio-economic status, and weekly rainfall lagged by two weeks (with quadratic term).

ISSN: 1475-2875