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Table 4 Generalised linear mixed model of Ae. aegypti pupal abundance showing predictors, beta estimates of effect size, test statistic (Z-value) and associated probability for the minimal model

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

Predictorsa,b

Estimate

Standard error

z-value

Pr( >|z|)

(Intercept)

5.08

1.10

4.63

 < 0.001

Health district [Baskuy]

 Bogodogo

0.06

0.34

0.18

0.86

 Nongremassom

0.52

0.36

1.45

0.146

Container [BCP]

 DB

0.05

0.35

0.13

0.895

 SC

0.70

0.36

1.95

0.051

 Tyre

0.01

0.29

0.03

0.979

 WF

0.30

0.53

0.54

0.590

 Others

1.59

1.22

1.300

0.193

Month [August]

 September

− 0.47

0.18

− 2.57

0.010

 October

− 0.63

0.21

− 3.04

0.002

pH

− 0.40

0.15

− 2.57

0.010

Health district [Baskuy] × container [BCP]

 Bogodogo: DB

0.25

0.54

0.46

0.643

 Nongremassom: DB

0.60

0.53

1.13

0.260

 Bogodogo: Others

− 1.75

2.13

− 0.82

0.410

 Nongremassom: Others

− 0.22

988.5

− 0.00

0.998

 Bogodogo: SC

− 1.39

0.61

− 2.28

0.022

 Nongremassom: SC

− 1.51

0.575

− 2.63

0.009

 Bogodogo: Tyre

0.46

0.44

1.04

0.296

 Nongremassom: Tyre

− 0.22

0.45

− 0.49

0.624

 Bogodogo: WF

− 0.91

0.75

− 1.22

0.224

 Nongremassom: WF

− 0.30

0.76

− 0.38

0.705

  1. Non-significant terms were, vegetation presence/absence, temperature, relative humidity, container height, container utility, container material, container size, water volume, container location, number of persons, health district × month, temperature × location
  2. aReference categories are shown in square brackets []
  3. bSignificant predictors are highlighted in bold text, and non-significant terms not included in the model are listed thereunder