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Table 3 Logistic regression comparing risk factors for being infected by a ruminant attributed type (control) with those for an unassigned type (case).

From: Using sequence data to identify alternative routes and risk of infection: a case-study of campylobacter in Scotland

Predictor

Unit

OR (95% CIs)

z-value

p-value

Intercept

 

NA

8.094

< 0.001

Age

Child

1

-

-

 

Adult

1.524 (1.156, 2.008)

2.994

0.003

Season

Summer

1

-

-

 

Winter

1.919 (1.399, 2.632)

4.035

< 0.001

Overseas travel

No

1

  
 

Yes

4.808 (3.165, 7.299)

7.377

< 0.001

Population dens

< = 500/km2

1

-

-

 

> 500/km2

1.359 (1.071, 1.724)

2.520

0.012

Season * pop.dens

Summer * < = 500/km2

1

-

-

 

winter * > 500/km2

0.605 (0.395, 0.926)

-2.316

0.021