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Table 3 Results of the best fit logistic regression models obtained for each analysis

From: Seroprevalence of 12 serovars of pathogenic Leptospira in red foxes (Vulpes vulpes) in Poland

Significance assessment of model (P value of LR test)

Independent variable

Coefficient (β i )

Std. error

P value (Wald)

Odds ratio

Confidence OR − 95%

Confidence OR + 95%

Models for infection of Leptospira sp. (without distinction of serovars)

 < 0.001

Absolute term (β0)

− 2.92912

0.296482

< 0.001

0.05

0.03

0.10

LD

1.216036

0.233494

< 0.001

3.37

2.13

5.33

MP

0.671037

0.228562

0.003

1.96

1.25

3.06

MA

1.68051

0.237135

< 0.001

5.37

3.37

8.55

OP

1.388372

0.247953

< 0.001

4.01

2.46

6.52

PK

1.769046

0.269941

< 0.001

5.87

3.45

9.96

PM

1.534127

0.265823

< 0.001

4.64

2.75

7.81

SW

0.555254

0.259964

0.03

1.74

1.05

2.90

WM

1.630786

0.20659

< 0.001

5.11

3.41

7.66

Fox density (No/km2)

1.142803

0.307487

< 0.001

3.14

1.72

5.73

 < 0.001

Absolute term (β0)

− 1.50766

0.198255

< 0.001

0.22

0.15

0.33

Spring

0.267965

0.280004

0.34

1.31

0.75

2.26

Autumn

0.0834

0.232275

0.72

1.09

0.69

1.71

Winter

0.688467

0.211402

0.001

1.99

1.31

3.01

Model for Icterohaemorrhagiae

 0.003

Absolute term (β0)

− 6.41457

0.839692

< 0.001

0.002

0.0003

0.008

Fox density (No/km2)

2.913659

0.989553

0.003

18.42

2.65

128.30

Adult

− 1.18961

0.553268

0.03

0.30

0.10

0.90

Model for Grippotyphosa

 0.001

Absolute term (β0)

− 5.71115

0.543301

< 0.001

0.003

0.001

0.01

Fox density (No/km2)

2.364823

0.677533

< 0.001

10.64

2.82

40.19

Model for Sejroe

 0.015

Absolute term (β0)

− 3.43721

0.318798

< 0.001

0.03

0.02

0.06

LD

1.130284

0.386552

0.003

3.10

1.45

6.61

MP

0.35268

0.419714

0.40

1.42

0.62

3.24

MA

0.85591

0.422493

0.04

2.35

1.03

5.39

OP

0.110974

0.514159

0.83

1.12

0.41

3.06

PK

1.228934

0.461089

0.008

3.42

1.38

8.44

PM

1.047612

0.44818

0.02

2.85

1.18

6.87

SW

0.408686

0.434724

0.35

1.50

0.64

3.53

WM

0.880843

0.376223

0.02

2.41

1.15

5.05

Model for Australis

 < 0.001

Absolute term (β0)

− 6.36907

0.610643

< 0.001

0.002

0.0005

0.01

Fox density (No/km2)

2.843724

0.730836

< 0.001

17.18

4.10

72.02

Models for Saxkoebing

 0.024

Absolute term (β0)

− 2.77882

0.325736

< 0.001

0.06

0.03

0.12

Spring

0.445929

0.436438

0.31

1.56

0.66

3.68

Autumn

0.408323

0.368228

0.27

1.50

0.73

3.10

Winter

0.806557

0.34165

0.02

2.24

1.15

4.38

 < 0.001

Absolute term (β0)

− 2.94772

0.25661

< 0.001

0.05

0.03

0.09

LD

1.010782

0.318737

0.002

2.75

1.47

5.13

MP

0.715284

0.318663

0.03

2.04

1.09

3.81

MA

1.257746

0.322546

< 0.001

3.52

1.87

6.62

OP

1.021486

0.343397

0.003

2.78

1.42

5.45

PK

1.939495

0.341159

< 0.001

6.96

3.56

13.58

PM

1.452948

0.341859

< 0.001

4.28

2.19

8.36

SW

− 0.63976

0.461137

0.17

0.53

0.21

1.30

WM

1.121314

0.296979

< 0.001

3.07

1.71

5.49

Models for Poi

 < 0.001

Absolute term (β0)

− 5.45234

0.689411

< 0.001

0.004

0.001

0.02

LD

2.814176

0.617742

< 0.001

16.68

4.97

56.01

MP

1.032509

0.682165

0.13

2.81

0.74

10.70

MA

3.445862

0.612244

< 0.001

31.37

9.44

104.22

OP

3.293047

0.618209

< 0.001

26.92

8.01

90.51

PK

2.239957

0.687842

0.001

9.39

2.44

36.19

PM

2.960175

0.643965

< 0.001

19.30

5.46

68.24

SW

2.610502

0.629299

< 0.001

13.61

3.96

46.74

WM

3.666819

0.591781

< 0.001

39.13

12.26

124.88

Fox density (No/km2)

1.043369

0.476866

0.03

2.84

1.11

7.23

 < 0.001

Absolute term (β0)

− 2.89037

0.342638

< 0.001

0.06

0.03

0.11

Spring

0.375612

0.464447

0.42

1.46

0.59

3.62

Autumn

0.519876

0.383324

0.18

1.68

0.79

3.57

Winter

1.368756

0.353764

< 0.001

3.93

1.96

7.87

 0.003

Absolute term (β0)

− 2.30544

0.125369

0

0.10

0.08

0.13

Adult

0.437116

0.152208

0.004

1.55

1.15

2.09

  1. LD Łódzkie, MP Leser Poland, MA Masovia, OP Opolskie, PK Subcarpathia, PM Pomerania, SW Świętokrzyskie, WM Warmia-Masuria