Table 1.

Univariate cumulative logistic regression models

Model	Dependent variable	Independent variable	β	OR (95% CI)	P	Adjusted R2
1	Score	Altitude	−1·3542	0·258 (0·080–0·832)	0·0233	0·1450
2	Score	Temperature	−0·2147	0·807 (0·359–1·815)	0·6038	0·0082
3	Score	Dogs	−1·9432	0·143 (0·019–1·064)	0·0576	0·0980
4	Score	Yaks	−0·0366	0·964 (0·934–0·995)	0·0235	0·1650

OR, Odds ratio; CI, confidence interval.

Score: the dependent variable (endemic intensity of CE) was given a score of 1, 2, 3 and 4 for villages in classes I, II, III and IV, respectively.

Altitude: altitude of each village.

Temperature: annual land surface temperature of each village.

Dogs: average number of dogs per household in each village.

Yaks: number of yaks per household in each village.