What statistical measure is most appropriate to calculate the average number of cases of a specific disease over different periods of time, given 14 different numbers representing cases at various time points?

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Statistical Measure for Disease Case Calculation

The mean (option A) is the appropriate statistical measure to calculate the average number of disease cases over different time periods.

Rationale for Mean in Epidemiologic Surveillance

When an epidemiologist needs to determine "how many cases come" to a city over different time periods using 14 different numbers, they are seeking a measure of central tendency that represents the typical or average disease burden. The mean provides the arithmetic average that directly answers questions about average case counts across time periods 1.

  • The CDC's Morbidity and Mortality Weekly Report consistently uses mean values (labeled as "Med" for median in their tables, but calculates means for 4-week totals) when comparing current disease case counts to historical averages 1.
  • For disease surveillance and public health planning, the mean directly quantifies the expected number of cases, which is essential for resource allocation and outbreak detection 2, 3.
  • The mean is the standard measure when calculating incidence rates and disease frequency in populations 2, 3, 4.

Why Other Options Are Inappropriate

Mode (option B) represents only the most frequently occurring value and would not provide meaningful information about average case counts across different time periods 5.

Median (option C) represents the 50th percentile and is more appropriate for skewed distributions or when describing incubation periods, not for calculating average case counts 6, 5.

Range (option D) describes only the spread between minimum and maximum values, providing no information about the typical or average number of cases 5, 7.

Epidemiologic Context

  • Disease surveillance systems use mean values to establish baseline expectations and detect deviations that may indicate outbreaks 1.
  • The mean allows direct comparison of current case counts to historical averages, which is fundamental to epidemiologic monitoring 1.
  • Incidence calculations, which measure new disease occurrence over time, inherently rely on mean values to express average disease frequency 2, 3, 4, 7.

References

Guideline

Guideline Directed Topic Overview

Dr.Oracle Medical Advisory Board & Editors, 2025

Research

[Measurement in epidemiology: prevalence, incidence, risk, impact measures].

Revista alergia Mexico (Tecamachalco, Puebla, Mexico : 1993), 2017

Research

Measuring disease occurrence.

Kidney international, 2007

Research

Measures of disease frequency: prevalence and incidence.

Nephron. Clinical practice, 2010

Research

Introduction to biostatistics: Part 2, Descriptive statistics.

Annals of emergency medicine, 1990

Guideline

Reporting Incubation Periods

Praxis Medical Insights: Practical Summaries of Clinical Guidelines, 2025

Professional Medical Disclaimer

This information is intended for healthcare professionals. Any medical decision-making should rely on clinical judgment and independently verified information. The content provided herein does not replace professional discretion and should be considered supplementary to established clinical guidelines. Healthcare providers should verify all information against primary literature and current practice standards before application in patient care. Dr.Oracle assumes no liability for clinical decisions based on this content.

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