Table 2 Results of the univariate and multivariate logistic regression model, that assess the difference in tick associated risk of multiple variables

Urban Areas

Environs

<0.001

2.192

1.736

2.768

<0.001

1.979

1.538

2.547

Rural Areas

<0.001

2.195

1.710

2.818

<0.001

1.965

1.492

2.589

18–34 years

35–44 years

0.254

0.854

0.651

1.120

–

–

–

–

45–54 years

0.632

1.057

0.843

1.326

–

–

–

–

55–64 years

0.833

0.977

0.784

1.216

–

–

–

–

≥65 years

0.645

1.059

0.830

1.350

–

–

–

–

Female

0.907

0.991

0.857

1.147

–

–

–

–

Male

Farmer

<0.001

1.371

1.173

1.604

0.037

1.219

1.012

1.468

Forestry worker

0.016

2.729

1.205

6.179

0.030

2.495

1.095

5.682

Horticulturist

0.119

0.770

0.554

1.070

0.497

0.887

0.626

1.255

Other Outdoor worker

0.940

1.019

0.628

1.652

0.737

0.919

0.559

1.510

Indoor worker

<1 h

1-3 h

<0.001

1.959

1.458

2.632

<0.001

1.929

1.429

2.603

>3-6 h

<0.001

1.889

1.420

2.512

0.002

1.595

1.184

2.147

>6 h

<0.001

1.896

1.428

2.517

0.006

1.552

1.137

2.119

<1 h

1-3 h

0.343

1.108

0.896

1.370

–

–

–

–

>3-6 h

0.155

1.187

0.938

1.502

–

–

–

–

>6 h

0.253

1.166

0.896

1.519

–

–

–

–