Table 3.
Univariate analyses of risk factors related to Babesia microti infection
Variable | Sample size | Babesia microti infection | ||||
---|---|---|---|---|---|---|
Cases | Constituent ratio (%) | Positive rate (%) | χ2 | P-value | ||
Year | 2014 | 446 | 32.1 | 10.8 | 1.78 | 0.410 |
2017 | 419 | 30.1 | 11.7 | |||
2018 | 526 | 37.8 | 13.5 | |||
Altitude (m) | ≤ 40 | 305 | 21.9 | 5.9 | 16.47 | < 0.001 |
40–400 | 903 | 64.9 | 14.5 | |||
> 400 | 183 | 13.2 | 10.4 | |||
Gender | Female | 514 | 39.4 | 9.9 | 4.77 | 0.029 |
Male | 790 | 60.6 | 14.2 | |||
Age | Adult | 1149 | 82.6 | 13.3 | 8.88 | 0.003 |
Pubertal | 242 | 17.4 | 6.2 | |||
Ecological habitat | Residential | 822 | 59.1 | 7.2 | 73.34 | 0.000 |
Shrub | 135 | 9.7 | 27.4 | |||
Mixed forest | 143 | 10.3 | 8.40 | |||
Broad-leaved forest | 191 | 13.7 | 23.00 | |||
Cropland | 100 | 7.2 | 16.00 |
This table shows that significant differences were related to different altitudes, genders, ages, and types of ecological habitat of the small mammals, but not to different sampling years, based on the univariate analyses using Chi-square test