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. 2020 Oct 27;20:1611. doi: 10.1186/s12889-020-09638-w

Table 2.

Results of Univariate logistic regression model for evaluation of effect of geo-climatic factors, close proximity to NTR and animal densities on CE in Fars province, southwest Iran

Variable P-value OR CI
Land cover
 Condensed and semi condensed forest < 0.001a
 Sparse forest 0.717 1.520 0.158–14.655
 Condensed and semi-condensed rangeland 0.263 3.358 0.403–27.987
 Thin rangeland 0.250 3.270 0.434–24.636
Dry (rainfed) farm 0.038 10.230 1.135–92.207
Irrigated farm 0.022 10.039 1.393–72.339
urban < 0.001 97.011 12.849–732.461
Salt land, salinity and water area 0.103 6.206 0.690–55.818
MAT 0. 8 1.006 0.959–1.056
MinMAT 0.398 0.980 0.934–1.027
MaxMAT 0.695 1.009 0.966–1.054
MAR 0.157 1.001 1.000–1.003
MAH < 0.001 1.136 1.068–1.209
MAE 0.283 1.000 0.999–1.000
Mean rainy day 0.512 1.008 0.984–1.032
Elevation 0.058 1.000 0.999–1.000
slope 0.002 0.935 0.897–0.975
Frost day 0.645 1.002 0.993–1.011
2 km buffer around NTR < 0.001 2.087 1.482–2.937
5 km buffer around NTR < 0.001 2.191 1.501–3.198
Sheep density < 0.001 1.006 1.003–1.009
Cattle density < 0.001 1.038 1.029–1.047
Camel density 0.029 4.046 1.150–14.241
Dog density < 0.001 3.121 2.104–4.630

aCondensed and semi-condensed forest was fitted as reference group for landcovers. CI Confidence interval, OR Odd’s ratio, MAT Mean annual temperature, MinMAT Minimum mean annual temperature, MaxMAT Maximum mean annual temperature, MAR Mean annual rainfall, MAH Mean annual humidity, MAE Mean annual evaporation, NTR Nomad travel route