DNP 825 Epidemiology Paper Part One: descriptive method
Part one is descriptive and only descriptive. The temptation is to explain why the disease clusters where it does — but that is part two's marks, and spending them here leaves you with nothing to write later.
Editorial process
Last reviewed · August 15, 2026
Descriptive means person, place and time — nothing else yet
The word doing the work in this title is descriptive, and it is a technical term rather than a stylistic one. Descriptive epidemiology answers who, where and when: the distribution of a health condition by person, place and time, expressed in rates that let one population be compared with another. It deliberately stops short of why. Analytic epidemiology — the case-control and cohort designs that test whether an exposure is associated with an outcome — is a different activity, and in this assignment it belongs to part two. Learners who have not internalised that boundary write a causal argument in part one, then arrive at part two with nothing left to say and repeat themselves. Treat the restriction as the assignment's actual difficulty rather than as an arbitrary limit: describing a distribution precisely, with the right denominator and a defensible data source, is harder than gesturing at causes.
Rates are where this paper is won or lost. An incidence rate counts new cases over a population at risk in a defined period; a prevalence proportion counts all existing cases at a point in time. They answer different questions and are not interchangeable, and a paper that reports one while discussing the other reads as though the writer has not understood either. Choose a condition with genuinely available surveillance data — CDC WONDER, BRFSS, a state health department dashboard, an NCHS data brief — because the paper depends on numbers you can cite and reproduce, not on numbers you remember. Say explicitly which population is your denominator and over what period, since an unstated denominator makes every figure that follows uninterpretable. Where you can, give one comparison: the same rate in a second population, or the same population a decade earlier. A single number describes nothing until something sits beside it.
Likely learning objectives
Inferred from the brief — check these against your own rubric.
- 01Distinguish descriptive from analytic epidemiology by the question each one answers.
- 02Select incidence or prevalence according to what is being claimed.
- 03Locate surveillance data adequate to support a rate rather than an impression.
- 04Relate descriptive epidemiology to a nursing science audience.
Read the full question
Review every instruction before using the planning guidance that follows.
Turn the brief into deliverables
- 01A named health condition with a stated population and time period.
- 02Distribution by person, place and time, each supported by data.
- 03Correctly chosen and correctly labelled rates, with denominators stated.
- 04An explicit account of what descriptive epidemiology contributes to nursing science.
- 05Citations to the surveillance sources the figures came from.
Pick the disease, then describe it without explaining it
Descriptive epidemiology and nursing science
Establish what descriptive epidemiology is for and why a DNP needs it.
The condition and its data source
Name the health condition and the surveillance system the figures come from.
Distribution by person
Characterise who is affected — age, sex, race and ethnicity, socioeconomic position.
Distribution by place and time
Set out geographic variation and trend over a stated period.
What this description sets up
State the questions the description raises that parts two and three will answer.
Where the surveillance numbers actually live
Recommended databases
- CDC WONDER
- Behavioral Risk Factor Surveillance System
- CINAHL
- Your state health department's data portal
Search sequence
- 1.Confirm your condition has a surveillance system reporting it before committing to it.
- 2.Pull incidence and prevalence separately and note which the source is actually reporting.
- 3.Find one methodological source that defines the rate you are using, so the definition is cited.
- 4.Look for a second population or an earlier year to give your headline figure a comparison.
Reference shortlist
These are authoritative starting points, not a ready-made bibliography. A qualified reviewer must confirm that each source fits the assignment and supports the claim beside which it is cited.
Nothing here is cleared for citation until you have read it.
- 01
Principles of Epidemiology | Lesson 1 - Section 1
Centers for Disease Control and Prevention · 2024
The CDC's own self-study text, where the person-place-time framing and the descriptive/analytic boundary are set out authoritatively.
- 02
Epidemiology Morbidity And Mortality
StatPearls, NCBI Bookshelf · 2023
Defines morbidity and mortality measures precisely, which is what stops a paper mislabelling its own rates.
- 03
Behavioral Risk Factor Surveillance System
Centers for Disease Control and Prevention · 2024
A live surveillance system with retrievable state-level estimates, so the figures in the paper have a citable origin.
- 04
MMWR Home Page | MMWR
Centers for Disease Control and Prevention · 2026
Worked examples of descriptive reporting written to publication standard, useful as a model for how much detail a distribution section needs.
Review before submission
Common mistakes
- Writing the causal argument that belongs to part two, leaving part two empty.
- Using incidence and prevalence as though they were synonyms.
- Reporting a count with no denominator, so the figure cannot be compared with anything.
- Choosing a condition for interest rather than for data availability, then citing nothing.
- Describing the condition clinically — pathophysiology, treatment — instead of epidemiologically.
Submission checklist
- Is every rate labelled as incidence or prevalence, and is that the right one?
- Is the denominator population stated for each figure?
- Have you kept causal claims out of part one?
- Does at least one comparison sit beside your headline number?
- Can a reader retrieve every figure from the source you cited?
Use this guide to plan and review your own work. Follow your institution's rules and read our academic-integrity policy.

Written by
Aaron Bishop
MA, Education
assignment interpretation and research-methods coaching across disciplines
Aaron leads the EssayCrackers editorial desk. He works on how assignment briefs are read — what a rubric is actually asking for, and where students most often answer a different question than the one set.

Reviewed by
Dr. Nathan Cole
PhD, Rhetoric & Composition
Argumentation and thesis development
Nathan teaches first-year composition and directs a university writing center. He reviews EssayCrackers guides for argumentative soundness and citation accuracy.