Influence of house characteristics on mosquito distribution and malaria transmission in the city of Yaoundé, Cameroon

Table 4 Comparison of the distribution of mosquitoes detected infected according to house characteristics

House characteristics	Tested	Positive	Infection rate	EIR*	Odds ratio	(95% CI)	P value
Walls cement	1871	41	2.19	0.007	1	(0.45–2.25)	0.99
Mix	390	10	2.56	0.011	1.18	(0.44–3.13)	0.66
Mud	320	7	2.19	0.011	1	1	–
Wood	976	20	2.05	0.007	0.94	(0.39–223)	0.88
Occupants
(1–3)	336	4	1.19	0.005	1		–
(4–6)	1650	35	2.12	0.007	1.78	(0.63–5.05)	0.27
(7–10)	1121	32	2.85	0.010	2.40	(0.84–6.83)	0.09
≥ 11	316	6	1.90	0.005	1.59	(0.45–5.70)	0.47
Hole on wall
No	2195	51	2.32	0.008	1.03	(0.64–1.65)	0.90
Yes	1199	27	2.25	0.008	1
Eaves status
Closed	1200	31	2.58	0.009	1
Opened	2271	48	2.11	0.008	0.82	(0.52–1.29)	0.39
Ceilings status
No	2524	55	2.18	0.009	0.85	(0.53–1.37)	0.5
Yes	977	25	2.56	0.007	1		–
Windows status
Screened	530	19	3.58	0.011	1		–
Unscreened	2906	59	2.03	0.007	0.57	(0.33–0.94)	0.03
Used of LLINs
No	300	7	2.09	0.007	1.11	(0.51–2.45)	0.79
Yes	3008	63	2.33	0.007	1		–
Coverage of LLINs
No	381	10	2.62	0.009	1.30	(0.66–2.57)	0.44
Yes	2979	60	2.01	0.007	1		–
Vegetation
No	716	16	2.23	0.009	1.04	(0.59–1.82)	0.89
Yes	2702	58	2.15	0.007	1		–
Breeding sites
No	600	11	1.83	0.007	0.84	(0.44–1.61)	0.60
Yes	2893	63	2.18	0.007	1		–
Household heads’education
Illiterate	209	5	2.39	0.01	1
Primary	656	12	1.83	0.006	0.76	(0.26–2.18)	0.61
Secondary	1621	36	2.22	0.008	0.93	(0.36–2.39)	0.87
University	389	13	3.34	0.01	1.41	(0.50–4.01)	0.52
Bedroom
< 5	3070	66	2.15	0.008	1
≥ 5	266	5	1.88	0.005	1.15	(0.35–2.18)	0.77
Window
< 5	2301	50	2.17	0.007	1
≥ 5	1025	23	2.24	0.008	0.97	(0.59–1.59)	0.9

Tested: number of mosquitoes screened, Positive: the number of mosquitoes found with Plasmodium falciparum. EIR*: Entomological Inoculation Rate: infected bites/person/night (ib/p/n)

ISSN: 1475-2875