Table 1.
Model accuracy for predicting CE infection risk.
Fig 1.
Response curve for the six most important risk factors in the human CE risk model (including awareness rate).
The blue shading gives a 95% credible interval from the posterior distribution of the Bayesian model.
Fig 2.
Spatial partial dependence plots in human CE risk model.
Variables are given in descending order of the first six places of model importance. Values are unitless partial effects on predicted probabilities that range from 0.6 to 0.8. Note: Base map data from Map World (https://map.tianditu.gov.cn/).
Fig 3.
The current spatial distribution of predicted CE infection risk based on the modelling analysis.
(a)cattle, (b)sheep, (c)dog, (d)human CE. Note: Base map data from Map World (https://map.tianditu.gov.cn/).
Table 2.
The population proportion in the provinces of western China residing in potential high-risk areas.
Table 3.
Changes in population proportion (%) and population size (Million) residing in high-risk areas with increased awareness rate (Strategy B - Strategy A).
Fig 4.
Future predicted infection risk distribution and changes of human CE in western China based on the modelling analysis.
(Strategy B: Awareness Rate Increased). Note: Base map data from Map World (https://map.tianditu.gov.cn/).