Reproduction success

Of the 9 items in the scope, 100% (9 out of 9) were considered to be successfully reproduced.

As cited throughout, images on this page are sourced from Lim et al. (2020)

Due to the size of the original tables, I have previewed the head of each, but then presented descriptive statistics from comparing all the values in each table.

Time-to-completion

Non-interactive plot:

Interactive plot:

Figure 2

Consensus: Successfully reproduced

Original figure (Lim et al. (2020)):

Reproduction:

Figure 3

Consensus: Successfully reproduced

Original figure (Lim et al. (2020)):

Reproduction:

Figure 4

Consensus: Successfully reproduced

Original figure (Lim et al. (2020)):

Reproduction:

Figure 5

Consensus: Successfully reproduced

Original figure (Lim et al. (2020)):

Reproduction:

Supplemental Table 2

Consensus: Successfully reproduced

Preview of the reformatted original table (Lim et al. (2020)) alongside the reproduced table.

Then, shares the results from calculating the absolute difference in the prop_infected row between the tables, and describes the observed differences.

'Preview of original'
end_of_day shifts_per_day staff_per_shift strength staff_change prop_infected
0 7 1.0 5.0 2 1 0.20
1 7 1.0 5.0 2 3 0.20
2 7 1.0 5.0 2 7 0.30
3 7 1.0 5.0 2 14 0.40
4 7 1.0 5.0 2 21 0.30
5 7 1.0 5.0 4 1 0.10
6 7 1.0 5.0 4 3 0.10
7 7 1.0 5.0 4 7 0.20
8 7 1.0 5.0 4 14 0.20
9 7 1.0 5.0 4 21 0.15
'Preview of reproduction'
end_of_day shifts_per_day staff_per_shift strength staff_change prop_infected
0 7 1 5 2 1 0.20
12 7 1 5 2 3 0.20
24 7 1 5 2 7 0.40
36 7 1 5 2 14 0.30
48 7 1 5 2 21 0.30
60 7 1 5 4 1 0.05
72 7 1 5 4 3 0.10
84 7 1 5 4 7 0.15
96 7 1 5 4 14 0.15
108 7 1 5 4 21 0.15
'Absolute differences in proportion infected between tables'
count    420.000000
mean       0.008405
std        0.017549
min        0.000000
25%        0.000000
50%        0.000000
75%        0.010000
max        0.100000
Name: diff, dtype: float64

Supplemental Table 3

Consensus: Successfully reproduced

Preview of the reformatted original table (Lim et al. (2020)) alongside the reproduced table.

Then, shares the results from calculating the absolute difference in the prop_infected row between the tables, and describes the observed differences.

'Preview of original'
end_of_day shifts_per_day staff_per_shift strength staff_change prop_infected
0 7 1.0 5.0 2 1 0.10
1 7 1.0 5.0 2 3 0.10
2 7 1.0 5.0 2 7 0.20
3 7 1.0 5.0 2 14 0.10
4 7 1.0 5.0 2 21 0.20
5 7 1.0 5.0 4 1 0.05
6 7 1.0 5.0 4 3 0.05
7 7 1.0 5.0 4 7 0.10
8 7 1.0 5.0 4 14 0.05
9 7 1.0 5.0 4 21 0.05
'Preview of reproduction'
end_of_day shifts_per_day staff_per_shift strength staff_change prop_infected
0 7 1 5 2 1 0.10
12 7 1 5 2 3 0.10
24 7 1 5 2 7 0.10
36 7 1 5 2 14 0.10
48 7 1 5 2 21 0.10
60 7 1 5 4 1 0.05
72 7 1 5 4 3 0.05
84 7 1 5 4 7 0.05
96 7 1 5 4 14 0.05
108 7 1 5 4 21 0.05
'Absolute differences in proportion infected between tables'
count    420.000000
mean       0.009905
std        0.017464
min        0.000000
25%        0.000000
50%        0.000000
75%        0.010000
max        0.100000
Name: diff, dtype: float64

Supplemental Table 4

Consensus: Successfully reproduced

Preview of the reformatted original table (Lim et al. (2020)) alongside the reproduced table.

Then, shares the results from calculating the absolute difference in the prop_infected row between the tables, and describes the observed differences.

'Preview of original'
end_of_day shifts_per_day staff_per_shift strength staff_change prop_infected
0 7 1.0 5.0 2 1 0.40
1 7 1.0 5.0 2 3 0.30
2 7 1.0 5.0 2 7 0.50
3 7 1.0 5.0 2 14 0.50
4 7 1.0 5.0 2 21 0.50
5 7 1.0 5.0 4 1 0.10
6 7 1.0 5.0 4 3 0.20
7 7 1.0 5.0 4 7 0.25
8 7 1.0 5.0 4 14 0.25
9 7 1.0 5.0 4 21 0.25
'Preview of reproduction'
end_of_day shifts_per_day staff_per_shift strength staff_change prop_infected
0 7 1 5 2 1 0.40
12 7 1 5 2 3 0.40
24 7 1 5 2 7 0.50
36 7 1 5 2 14 0.50
48 7 1 5 2 21 0.50
60 7 1 5 4 1 0.10
72 7 1 5 4 3 0.17
84 7 1 5 4 7 0.25
96 7 1 5 4 14 0.25
108 7 1 5 4 21 0.25
'Absolute differences in proportion infected between tables'
count    420.000000
mean       0.004762
std        0.012765
min        0.000000
25%        0.000000
50%        0.000000
75%        0.000000
max        0.120000
Name: diff, dtype: float64

Supplemental Table 5

Consensus: Successfully reproduced

Preview of the reformatted original table (Lim et al. (2020)) alongside the reproduced table.

Then, shares the results from calculating the absolute difference in the prop_infected row between the tables, and describes the observed differences.

'Preview of original'
end_of_day shifts_per_day staff_per_shift strength staff_change prop_infected
0 7 1.0 5.0 2 1 0.25
1 7 1.0 5.0 2 3 0.30
2 7 1.0 5.0 2 7 0.30
3 7 1.0 5.0 2 14 0.30
4 7 1.0 5.0 2 21 0.40
5 7 1.0 5.0 4 1 0.10
6 7 1.0 5.0 4 3 0.10
7 7 1.0 5.0 4 7 0.15
8 7 1.0 5.0 4 14 0.15
9 7 1.0 5.0 4 21 0.15
'Preview of reproduction'
end_of_day shifts_per_day staff_per_shift strength staff_change prop_infected
0 7 1 5 2 1 0.20
4 7 1 5 2 3 0.30
8 7 1 5 2 7 0.30
12 7 1 5 2 14 0.40
16 7 1 5 2 21 0.30
20 7 1 5 4 1 0.05
24 7 1 5 4 3 0.10
28 7 1 5 4 7 0.15
32 7 1 5 4 14 0.15
36 7 1 5 4 21 0.15
'Absolute differences in proportion infected between tables'
count    180.000000
mean       0.012056
std        0.022614
min        0.000000
25%        0.000000
50%        0.000000
75%        0.020000
max        0.100000
Name: diff, dtype: float64

Supplemental Table 6

Consensus: Successfully reproduced

Preview of the reformatted original table (Lim et al. (2020)) alongside the reproduced table.

Then, shares the results from calculating the absolute difference in the prop_infected row between the tables, and describes the observed differences.

'Preview of original'
workplace_measure shifts_per_day staff_per_shift strength staff_change prop_infected
0 Gloves 1.0 5.0 2 1 0.20
1 Gloves 1.0 5.0 2 3 0.20
2 Gloves 1.0 5.0 2 7 0.20
3 Gloves 1.0 5.0 2 14 0.30
4 Gloves 1.0 5.0 2 21 0.30
5 Gloves 1.0 5.0 4 1 0.05
6 Gloves 1.0 5.0 4 3 0.05
7 Gloves 1.0 5.0 4 7 0.10
8 Gloves 1.0 5.0 4 14 0.15
9 Gloves 1.0 5.0 4 21 0.15
'Preview of reproduction'
workplace_measure shifts_per_day staff_per_shift strength staff_change prop_infected
180 Gloves 1 5 2 1 0.20
192 Gloves 1 5 2 3 0.20
204 Gloves 1 5 2 7 0.20
216 Gloves 1 5 2 14 0.30
228 Gloves 1 5 2 21 0.30
240 Gloves 1 5 4 1 0.05
252 Gloves 1 5 4 3 0.05
264 Gloves 1 5 4 7 0.10
276 Gloves 1 5 4 14 0.15
288 Gloves 1 5 4 21 0.15
'Absolute differences in proportion infected between tables'
count    700.000000
mean       0.006214
std        0.011161
min        0.000000
25%        0.000000
50%        0.000000
75%        0.010000
max        0.050000
Name: diff, dtype: float64

References

Lim, Chun Yee, Mary Kathryn Bohn, Giuseppe Lippi, Maurizio Ferrari, Tze Ping Loh, Kwok-Yung Yuen, Khosrow Adeli, and Andrea Rita Horvath. 2020. “Staff Rostering, Split Team Arrangement, Social Distancing (Physical Distancing) and Use of Personal Protective Equipment to Minimize Risk of Workplace Transmission During the COVID-19 Pandemic: A Simulation Study.” Clinical Biochemistry 86 (December): 15–22. https://doi.org/10.1016/j.clinbiochem.2020.09.003.