Stress Related to COVID19 on Healthcare Workers – ML Analysis
By: GSRC, MACL, GJAR for the Bio-Math Group (UABC, UANL, UPP)
Data Quality Report as a preliminary exploration
Since the data is recorded in qualitative scales, the following report is generated based on the guidelines proposed by Kelleher et al. (2020).
| variable | Count | Miss | Card | Mode | ModeFrec | ModePerc | Mode2 | Mode2Frec | Mode2Perc |
|---|---|---|---|---|---|---|---|---|---|
| X1a | 92 | 0 | 4 | 2 | 36 | 39.13% | 3 | 33 | 35.87% |
| X1b | 92 | 0 | 5 | 2 | 34 | 36.96% | 3 | 21 | 22.83% |
| X1c | 92 | 0 | 5 | 3 | 39 | 42.39% | 4 | 33 | 35.87% |
| X1d | 92 | 0 | 5 | 4 | 39 | 42.39% | 3 | 29 | 31.52% |
| X1e | 92 | 0 | 4 | 4 | 41 | 44.57% | 3 | 38 | 41.3% |
| X1f | 92 | 0 | 5 | 2 | 32 | 34.78% | 3 | 31 | 33.7% |
| X2a | 92 | 0 | 4 | 2 | 36 | 39.13% | 3 | 33 | 35.87% |
| X2b | 92 | 0 | 5 | 2 | 34 | 36.96% | 3 | 21 | 22.83% |
| X2c | 92 | 0 | 5 | 3 | 39 | 42.39% | 4 | 33 | 35.87% |
| X2d | 92 | 0 | 5 | 4 | 39 | 42.39% | 3 | 29 | 31.52% |
| X2e | 92 | 0 | 4 | 4 | 41 | 44.57% | 3 | 38 | 41.3% |
| X2f | 92 | 0 | 5 | 2 | 32 | 34.78% | 3 | 31 | 33.7% |
| X3a | 92 | 0 | 5 | 2 | 27 | 29.35% | 3 | 24 | 26.09% |
| X3b | 92 | 0 | 5 | 2 | 27 | 29.35% | 1 | 26 | 28.26% |
| X3c | 92 | 0 | 5 | 1 | 32 | 34.78% | 2 | 25 | 27.17% |
| X3d | 92 | 0 | 5 | 1 | 33 | 35.87% | 0 | 24 | 26.09% |
| X3e | 92 | 0 | 5 | 0 | 37 | 40.22% | 1 | 27 | 29.35% |
| X3f | 92 | 0 | 5 | 2 | 31 | 33.7% | 1 | 19 | 20.65% |
| X4a | 92 | 0 | 5 | 2 | 31 | 33.7% | 3 | 29 | 31.52% |
| X4b | 92 | 0 | 5 | 2 | 29 | 31.52% | 3 | 26 | 28.26% |
| X4c | 92 | 0 | 5 | 2 | 31 | 33.7% | 4 | 28 | 30.43% |
| X4d | 92 | 0 | 5 | 2 | 25 | 27.17% | 1 | 24 | 26.09% |
| X4e | 92 | 0 | 5 | 1 | 38 | 41.3% | 0 | 21 | 22.83% |
| X4f | 92 | 0 | 5 | 1 | 30 | 32.61% | 0 | 25 | 27.17% |
| X5a | 92 | 0 | 5 | 0 | 28 | 30.43% | 2 | 28 | 30.43% |
| X5b | 92 | 0 | 5 | 0 | 47 | 51.09% | 1 | 21 | 22.83% |
| X5c | 92 | 0 | 5 | 0 | 27 | 29.35% | 1 | 22 | 23.91% |
| X5d | 92 | 0 | 5 | 0 | 41 | 44.57% | 1 | 18 | 19.57% |
| X5e | 92 | 0 | 5 | 0 | 37 | 40.22% | 1 | 24 | 26.09% |
| X5f | 92 | 0 | 5 | 0 | 47 | 51.09% | 1 | 19 | 20.65% |
| X6a | 92 | 0 | 5 | 0 | 32 | 34.78% | 2 | 20 | 21.74% |
| X6b | 92 | 0 | 5 | 0 | 38 | 41.3% | 1 | 24 | 26.09% |
| X6c | 92 | 0 | 5 | 0 | 29 | 31.52% | 2 | 22 | 23.91% |
| X6d | 92 | 0 | 5 | 0 | 28 | 30.43% | 2 | 18 | 19.57% |
| X6e | 92 | 0 | 5 | 1 | 24 | 26.09% | 0 | 23 | 25% |
| X6f | 92 | 0 | 5 | 0 | 29 | 31.52% | 1 | 19 | 20.65% |
Ward Hierarchical Clustering with Bootstrapped p-Values
Result for Chronbach´s Alpha was: 0.944
## Bootstrap (r = 0.5)... Done.
## Bootstrap (r = 0.6)... Done.
## Bootstrap (r = 0.7)... Done.
## Bootstrap (r = 0.79)... Done.
## Bootstrap (r = 0.89)... Done.
## Bootstrap (r = 1.0)... Done.
## Bootstrap (r = 1.1)... Done.
## Bootstrap (r = 1.2)... Done.
## Bootstrap (r = 1.29)... Done.
## Bootstrap (r = 1.39)... Done.
Distribution by specific variables
Level of Stress
Distribution by Profession
Distribution by Area of Work
Decision Tree
The algorithm used to implement the Decision Tree was C50 
References
Kelleher, J. D., Mac Namee, B., & D’arcy, A. (2020). Fundamentals of machine learning for predictive data analytics: Algorithms, worked examples, and case studies. MIT press.