Impact of physicochemical parameters of Aedes aegypti breeding habitats on mosquito productivity and the size of emerged adult mosquitoes in Ouagadougou City, Burkina Faso

Table 3 Generalised linear mixed model of Aedes aegypti larval abundance showing predictors, beta estimates of effect size, test statistic (Z-value) and associated probability for the minimal model

Predictors^a,b	Estimate	Standard error	Z-value	Pr( >\|z\|)
(Intercept)	8.09	0.77	10.62	< 0.001
Health.District [Baskuy]
Bogodogo	− 0.331	0.246	− 1.35	0.18
Nongremassom	− 0.82	0.26	− 3.18	0.001
Container [BCP]
DB	− 0.77	0.24	− 3.211	0.001
SC	− 0.79	0.254	− 3.16	0.002
Tyre	− 0.51	0.21	− 2.46	0.014
WF	− 0.79	0.35	− 2.26	0.024
Others	− 1.42	0.81	− 1.76	0.08
Month [August]
September	− 0.42	0.14	− 3.00	0.003
October	− 0.67	0.16	− 4.24	< 0.001
Container diameter (cm)	0.01	0.00	3.37	< 0.001
Water level (cm)	0.03	0.01	2.84	0.004
Electrical conductivity (μS/cm)	0.22	0.08	2.62	0.008
pH	− 0.46	0.10	− 4.42	< 0.001
Health.District [Baskuy]:Container[BCP]
Bogodogo: DB	0.50	0.37	1.35	0.18
Nongremassom: DB	1.54	0.36	4.24	< 0.001
Bogodogo: Others	0.08	1.40	0.06	0.951
Nongremassom: Others	− 68.97	137.64	− 0.50	0.62
Bogodogo: SC	0.04	0.40	0.09	0.925
Nongremassom: SC	0.77	0.39	2.00	0.045
Bogodogo: Tyre	0.45	0.30	1.49	0.135
Nongremassom: Tyre	0.90	0.31	2.88	0.003
Bogodogo: WF	0.71	0.51	1.41	0.159
Nongremassom: WF	1.06	0.51	2.06	0.04

Non-significant terms not included in the model were: vegetation presence/absence, temperature, relative humidity, container height, container usefulness, container material, container utility, container size, water volume, container location, number of persons, health district × month, temperature × location
^aReference categories are shown in square brackets
^bSignificant predictors are highlighted in bold font and non-significant predictors are listed immediately thereunder

ISSN: 1756-3305