Scenario Details: Night shift workers in the Quality Control department, who meticulously inspect products during the early morning hours, have experienced a surge in respiratory symptoms. The factory produces intricate components for medical devices, and any disruption in the workforce could impact the critical production timeline.

Data Snapshot:

• Employees' work shifts: 10:00 PM to 6:00 AM
• Daylight Savings Time transition occurred on Sunday at 2:00 AM
• Respiratory symptoms, including coughing and shortness of breath, started appearing on Monday during the night shift
• 27 employees have reported ill.
• 7 employees reported ill during the 2am Daylight Savings time shift.
• There are 50 employees total in the department.
• 12 employees reported ill before the time shift.
• There are 125 total employees in the factory. 82 employees were working in the factory the night of the outbreak.

Questions:

1. You are creating an epi curve from the data which involves creating a visual display of the outbreak according to the time at which they happened. How will you handle the 7 cases from 2am? Will you list them as 2am or 3am?How will your decision on when to list the 2am cases impact the epi curve?
2. Calculate the Risk Ratio associated with getting sick before the time shift and getting sick after.
3. Calculate the overall Odds Ratio for the outbreak.