An epidemic curve, commonly used in infection prevention and control to visualize the progression of an outbreak, is a graphical representation of the number of cases over time. According to the principles outlined by the Certification Board of Infection Control and Epidemiology (CBIC), an epidemic curve is most effectively displayed using a bar graph or histogram that tracks the number of new cases by date or time interval (e.g., daily, weekly) without revealing patient identifiers, ensuring compliance with privacy regulations such as HIPAA. Option C aligns with this standard practice, as it specifies preparing a bar graph with no patient identifiers, focusing solely on the number of cases over a specific period. This allows infection preventionists to identify patterns, such as the peak of the outbreak or potential sources of transmission, while maintaining confidentiality.
Option A is incorrect because listing case names and room numbers with a logarithmic scale violates patient privacy and is not a standard method for constructing an epidemic curve. Logarithmic scales are typically used for data with a wide range of values, but they are not the preferred format for epidemic curves, which prioritize clarity over time. Option B is also incorrect, as using medical record numbers and scatter plots to show days in the facility to onset does not align with the definition of an epidemic curve, which focuses on case counts over time rather than individual patient timelines or scatter plot formats. Option D is inappropriate because a scatter plot by patient location emphasizes spatial distribution rather than the temporal progression central to an epidemic curve. While location data can be useful in outbreak investigations, it is typically analyzed separately from the epidemic curve.
The CBIC emphasizes the importance of epidemic curves in the "Identification of Infectious Disease Processes" domain, where infection preventionists use such tools to monitor and control outbreaks (CBIC Practice Analysis, 2022). Specifically, the use of anonymized data in graphical formats is a best practice to protect patient information while providing actionable insights, as detailed in the CBIC Infection Prevention and Control (IPC) guidelines.
[References:, CBIC Practice Analysis, 2022., CBIC Infection Prevention and Control Guidelines (IPC), Section on Outbreak Investigation and Epidemic Curve Construction., , ]
