PU520 Unit 2 Asthma Frequency Measures Problem Set Example

Reviewed by Elspeth Marlowe, MSN, RN Principles of Epidemiology Purdue University Global Free custom sample in 24 to 48h

This PU520 Unit 2 epidemiology problem set works six problems from one composite school district's asthma data. It was written for Purdue Global PU 520, Principles of Epidemiology, in the Master of Public Health (MPH). On September 1, 1,530 of 18,000 pupils had active asthma, and 214 pupils free of asthma at the start were newly diagnosed during the year. The problems compute point prevalence of 8.5 percent, cumulative incidence of 13.0 per 1,000 pupils, period prevalence of 9.4 percent including transfers in, and an incidence rate of 13.5 per 1,000 child-years. A fifth problem explains why the two incidence measures differ, and a sixth uses prevalence and incidence to estimate an average duration of nearly seven years. Every answer is paired with the reason its denominator differs from the one before.

CoursePU520 Principles of Epidemiology
UnitUnit 2
Paper typeEpidemiology problem set
LengthAbout 860 words, 6 pages double-spaced
FormatAPA 7 student paper
SchoolPurdue University Global
ProgramMaster of Public Health (MPH)
UpdatedOctober 2026

Free sample paper for PU520 Unit 2

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Eighteen Thousand Pupils, One School Year and Six Denominators: An Epidemiology Problem Set Working Point Prevalence, Cumulative Incidence, Period Prevalence and an Incidence Rate for Asthma in a Composite School District, With Each Denominator Explained

[Student Name]

Purdue University Global

PU520: Principles of Epidemiology

Unit 2 Epidemiology Problem Set

[Instructor Name]

[Date]

The district and every figure are composite and bracketed for the writer's own data; the methods cited are real.

What this part is doingEvery problem follows one layout, so a grader can find the setup, the arithmetic and the meaning in the same place each time.
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The Data

Pupils enrolled on September 1: [18,000]. Pupils with active asthma on September 1: [1,530]. New asthma diagnoses during the school year among pupils free of asthma at the start: [214]. Pupils enrolled at any time during the year, including [600] who transferred in: [18,600]. Child-years at risk among pupils free of asthma, after accounting for transfers in and out: [15,900].

Problem 1: Point Prevalence

Question: what proportion of pupils had active asthma on September 1? Formula: cases existing at a point in time divided by the population at that time. Substitution: [1,530] / [18,000]. Answer: [8.5] percent. Meaning: about one pupil in twelve began the year with asthma, which sizes the number of inhalers and action plans school nurses must manage.

Problem 2: Cumulative Incidence

Question: what proportion of pupils free of asthma at the start developed it during the year? Formula: pupils newly diagnosed, over the pupils who were asthma-free when the year began. Substitution: [214] / ([18,000] minus [1,530]) = [214] / [16,470]. Answer: [13.0] per [1,000] pupils over the school year. Meaning: the denominator excludes pupils who already had asthma, because they could not become new cases.

Problem 3: Period Prevalence

Question: what proportion of pupils had asthma at any time during the year? Formula: existing plus new cases during the period divided by everyone enrolled at any time during the period. Substitution: ([1,530] + [214]) / [18,600] = [1,744] / [18,600]. Answer: [9.4] percent. Meaning: the denominator now includes transfers in, since they were part of the population during the period. Each problem changes the denominator, and each change is the point of the problem.

Problem 4: Incidence Rate

Question: how fast did new cases occur, per unit of time at risk? Formula: new cases divided by person-time at risk. Substitution: [214] / [15,900] child-years. Answer: [13.5] per [1,000] child-years. Meaning: person-time accounts for pupils who were enrolled for only part of the year, so the rate reflects actual time observed.

Problem 5: Why Problems 2 and 4 Differ

Question: why are cumulative incidence and the incidence rate close but not equal? Answer: cumulative incidence assumes everyone at risk at the start was observed for the whole year. Transfers out shortened some pupils' time at risk and transfers in added others for part of the year. The rate uses the actual time observed, which here is slightly less than one full year per pupil at risk, so the rate is a little higher. When follow-up is complete and short, the two measures converge (Rothman, 2012).

What this part is doingComparing the two incidence measures shows why the choice of denominator depends on how completely people were followed.
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Problem 6: Prevalence, Incidence and Duration

What this part is doingThe last problem links the earlier answers, showing that prevalence, incidence and duration are parts of one system.
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Question: what average duration of asthma is implied by the prevalence and incidence? Formula: in a steady state, prevalence divided by one minus prevalence approximately equals incidence rate times average duration (Freeman & Hutchison, 1980). Substitution: ([0.085] / [0.915]) / [0.0135] per year. Answer: about [6.9] years. Meaning: childhood asthma lasts many years for many pupils, which is why prevalence is several times the yearly incidence. The steady-state assumption is approximate, since enrollment changes and many children outgrow asthma.

What the District Should Take From the Set

Prevalence measures the burden nurses manage each day; incidence measures how quickly new cases arise and is the better target for prevention, such as reducing triggers in school buildings. Reporting both, with clear denominators, avoids confusing the two (Celentano & Szklo, 2019).

Why the District Asked for These Figures

The district's nursing supervisor wanted to know two things: how many children nurses would be caring for on any given day, and whether new cases were rising after the district replaced the ventilation in several older buildings. The first question is about burden and calls for prevalence. The second is about the speed at which healthy children become ill and calls for incidence. Answering the wrong question with the right arithmetic is a common failure, so the set states which question each figure answers.

Presenting the Figures to the School Board

A board member will not want six formulas. The summary for the board would say that about one pupil in twelve started the year with asthma, that about thirteen of every thousand asthma-free pupils were newly diagnosed during the year, and that these figures will serve as a baseline for judging whether building improvements reduce new cases over the next three years. Each figure would carry its denominator in plain words, such as pupils free of asthma at the start, so no one mistakes one measure for another.

Common Errors to Avoid

Using the whole enrollment as the denominator for cumulative incidence, which includes pupils who could not become new cases. Reporting a rate without its unit of person-time. Comparing period prevalence from one year with point prevalence from another.

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References

Celentano, D. D., & Szklo, M. (2019). Gordis epidemiology (6th ed.). Elsevier.

Freeman, J., & Hutchison, G. B. (1980). Prevalence, incidence and duration. American Journal of Epidemiology, 112(5), 707-723. https://doi.org/10.1093/oxfordjournals.aje.a113043

Rothman, K. J. (2012). Epidemiology: An introduction (2nd ed.). Oxford University Press.

PU520 Unit 2 instructions, in plain terms

Unit 2 in PU 520 typically asks students to calculate several measures of disease frequency from one data set and explain each. Instructions usually require prevalence, incidence proportion and incidence rate, with formulas, substitutions, answers with units and interpretation. Restate the data in full at the top so every problem can refer back to it. Use one layout for every problem, question, formula in words, substitution, answer with its multiplier and a sentence on meaning, so a grader finds each part in the same place. Explain each change of denominator, because choosing the right population at risk is the main skill being tested. Include a problem that links prevalence, incidence and duration if the prompt allows. Cite epidemiology texts in APA style, and end on how the district ought to use the figures and explain them to its board.

How the PU 520 Unit 2 example is put together

The sample restates the data, including transfers and child-years at risk, with a margin note on using one layout throughout. Problem 1 computes point prevalence over everyone enrolled. Problem 2 computes cumulative incidence over pupils free of asthma at the start. Problem 3 computes period prevalence over everyone enrolled at any time, and a highlighted line notes that each problem changes the denominator on purpose. Problem 4 computes an incidence rate over child-years. Problem 5 explains why that rate runs slightly above cumulative incidence, with a margin note on follow-up. Problem 6 links prevalence, incidence and duration, with a third note. Sections on why the district wanted the figures, how to present them and common errors close the set.

Reading the PU520 Unit 2 grading rubric

Problem set grading in PU 520 checks the arithmetic first, then whether each denominator fits the measure, correct units and multipliers, clear interpretation, explanation of differences between measures, organization and use of sources. Calculation points go to accurate answers. Denominator points reward choosing the population at risk correctly for each measure. Unit points depend on stating per how many and over what period. Interpretation points require a sentence on what each figure means. Comparison points go to explaining why measures differ. Organization points reward a consistent layout. Problem sets that explain each change of denominator, rather than only computing answers, tend to receive the highest grades, since the reasoning is what the course assesses.

PU520 Unit 2 help: mistakes that cost points

Problem sets often lose points by using the whole population as the denominator for incidence, which includes people who already have the condition, or by reporting rates without person-time units. Others compute correctly but never say what the numbers mean. Restate the data first. For each problem, write the formula in words, substitute the numbers, give the answer with its unit and add one sentence of interpretation. Explain why each denominator differs from the last. When two measures give different answers, explain why. If you use the relationship between prevalence, incidence and duration, state the steady-state assumption. Finish with how the figures should be reported to a non-technical audience.

Get a PU520 Unit 2 example written to your instructions

Send the table your PU520 Unit 2 problem set supplies, along with the questions as written and the rubric. The desk works every problem in the layout shown here, formula in words first. That first custom sample is free, delivered inside 24-48 hours, and it explains each denominator at the point where a grader would look for it. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.

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PU520 Unit 2 questions, answered

Where can I find a free PU520 Unit 2 sample paper?

The complete PU520 Unit 2 epidemiology problem set is here, working six frequency measures from a composite district's asthma data.

What is the difference between point and period prevalence?

Point prevalence counts cases at one moment; period prevalence counts cases at any time during a period.

Why exclude existing cases from the incidence denominator?

People who already have the condition cannot become new cases.

What is an incidence rate?

A measure of how fast new cases appear, expressed per unit of time that people were observed, such as child-years.

How long is the PU520 Unit 2 problem set?

About four pages of numbered problems.