PU520 Unit 6 Chlamydia Surveillance Trend Report Example

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

This PU520 Unit 6 surveillance report examines reported chlamydia in a composite county, which climbed from 410 to 590 per 100,000 over ten years. It was written for Purdue Global PU 520, Principles of Epidemiology, in the Master of Public Health (MPH). Before calling the rise more infection, the report asks what the surveillance system counts: a positive test in someone who was tested. Three system changes shape the series. Electronic laboratory reporting began in year six, producing an 18 percent jump that then settled back onto the earlier slope. Screening of young women expanded in line with national recommendations, raising tests from about 21,000 to 34,000 a year while positivity stayed near 5 percent. Men are tested far less than women. The report concludes that the evidence for a true rise in infection is weak.

CoursePU520 Principles of Epidemiology
UnitUnit 6
Paper typeSurveillance report
LengthAbout 840 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 6

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More Cases or More Tests? A Surveillance Report on Reported Chlamydia in a Composite County Over Ten Years That Examines the System Before the Disease, From Expanded Screening and a Switch to Electronic Laboratory Reporting to Uneven Testing of Women and Men

[Student Name]

Purdue University Global

PU520: Principles of Epidemiology

Unit 6 Surveillance Report

[Instructor Name]

[Date]

The county and every figure are composite and bracketed for the writer's own data; the recommendation and research cited are real.

What this part is doingThe surveillance system is treated as the first subject and the disease as the second, which is the reversal this report is built on.
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What the System Counts

A reported case of chlamydia is a positive laboratory test in someone who was tested, reported to the county under state law. Infection is usually without symptoms, so the count depends heavily on who is screened. Surveillance data are only as complete as the testing and reporting that produce them (Thacker & Berkelman, 1988).

Figure 1: Reported Rate by Year and Sex

Annual reported rates per [100,000], ten years, with separate lines for women and men and a marker at year six. Women's rates run about [2.5] times men's throughout. The combined rate rises steadily in years one to five, jumps [18] percent in year six and then resumes its earlier slope.

The Year-Six Step

Year six is when electronic laboratory reporting began. Before it, laboratories mailed or faxed reports, and some results never reached the county. A sudden jump that coincides with a reporting change and then returns to the earlier slope is a classic sign of improved capture, not a surge in infection. A line that jumps in the year reporting changed and then resumes its old slope is telling you about the system, not the disease.

Testing Volume and Positivity

Table 1 sets three figures beside each other for each year: tests performed, positive tests and the share of tests that were positive. Tests rose from about [21,000] in year one to [34,000] in year ten, mostly among women aged 15 to 24, as clinics expanded screening in line with national recommendations to screen sexually active women aged 24 and younger (US Preventive Services Task Force et al., 2021). Positivity stayed between [4.6] and [5.1] percent across the ten years. Rising tests with stable positivity suggest that much of the increase in reported cases reflects more testing finding infections that were already there.

What this part is doingPositivity is the key check: if the share of tests coming back positive is steady, a rising count mostly reflects more testing.
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Figure 2: Rates by Age, Most Recent Year

Rates peak among women aged [20] to [24] and men aged [20] to [29]. The pattern by age matches where screening is concentrated, which again shapes what is counted.

Uneven Testing by Sex

Men are screened far less often than women because recommendations focus on women and men are less often seen for routine reproductive care. Men's lower reported rates partly reflect less testing. Any change in men's testing, such as a new program at a jail or a college clinic, would raise their reported rate without any change in infection.

Who Uses This Report

Three audiences read the county's annual sexually transmitted infection report. The board of health uses it to set priorities and budgets. Clinics use it to decide where to offer testing. Local reporters use it to write stories, and a headline about chlamydia rising [44] percent in a decade would mislead readers unless the report itself explains what the rise means. Writing the system description into the report protects all three audiences from drawing the wrong conclusion.

Data Quality Checks

Before each annual report, the surveillance team will check for duplicate reports of the same person within [30] days, compare electronic laboratory feeds with a sample of paper reports from clinics that still submit them, and record the share of reports missing age, sex or race. In year ten, [7] percent of reports lacked race, which limits any analysis of disparities. A short methods box will describe these checks and their results each year.

What this part is doingA methods box on data quality tells readers how far to trust each figure before they interpret it.
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Comparison With the State

The state's reported rate rose by a similar share over the same years, and the state also adopted electronic laboratory reporting in the county's year six. That parallel makes a local outbreak unlikely and supports the explanation that statewide changes in testing and reporting drove much of the rise.

What Can Be Said About Transmission

After accounting for the reporting change and stable positivity, the evidence for a true increase in infection over ten years is weak. A modest real increase cannot be ruled out, but the data cannot show it.

Recommendations

Report positivity and testing volume alongside case rates in every annual report. Mark system changes, such as reporting methods and screening policies, on every trend figure. Expand screening for men in settings where it is feasible, while expecting reported rates to rise as a result. Consider periodic population-based testing to estimate true prevalence.

Limits

Positivity can also change if screening shifts to lower-risk or higher-risk groups. Some tests are repeated for the same person, which inflates counts.

Conclusion

The rise in reported chlamydia is mostly a story about testing and reporting. Reading surveillance data well begins with describing the system that produces them (Celentano & Szklo, 2019).

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References

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

Thacker, S. B., & Berkelman, R. L. (1988). Public health surveillance in the United States. Epidemiologic Reviews, 10(1), 164-190. https://doi.org/10.1093/oxfordjournals.epirev.a036021

US Preventive Services Task Force, Davidson, K. W., Barry, M. J., Mangione, C. M., Cabana, M., Caughey, A. B., Davis, E. M., Donahue, K. E., Doubeni, C. A., Krist, A. H., Kubik, M., Li, L., Ogedegbe, G., Pbert, L., Silverstein, M., Simon, M. A., Stevermer, J., Tseng, C.-W., & Wong, J. B. (2021). Screening for chlamydia and gonorrhea: US Preventive Services Task Force recommendation statement. JAMA, 326(10), 949-956. https://doi.org/10.1001/jama.2021.14081

Reading the PU 520 Unit 6 instructions

Unit 6 in PU 520 usually asks students to analyze surveillance data for a condition and interpret trends. Instructions often require describing the surveillance system, presenting trends in figures or tables, considering artifacts, comparing groups and making recommendations. Describe the system before interpreting any trend, since a reported case reflects who was tested and how results were reported. Mark system changes, such as new reporting methods or screening policies, on your trend figures. Report testing volume and positivity alongside case rates, because stable positivity with rising tests points to more detection rather than more disease. Compare groups with attention to who gets tested. Cite surveillance methods and screening recommendations in APA style, and recommend how future reports should present the data to avoid misreading.

Inside the PU520 Unit 6 example

The sample begins by defining what the system counts, with a margin note on putting the system first. Figure 1 is described with separate lines for women and men and a marker at year six. A section on the year-six step explains improved capture, and a highlighted line observes that such a pattern reflects the reporting system rather than transmission. Testing volume and positivity follow, with a margin note on why positivity is the key check. Rates by age and uneven testing by sex come next. Sections on who uses the report, data quality checks with a third note and a comparison with the state follow. What can be said about transmission, recommendations, limits and a conclusion close the report.

Reading the PU520 Unit 6 grading rubric

Surveillance report grading in PU 520 opens with whether the system itself is described accurately, then considers clear presentation of trends, recognition of artifacts, use of testing volume and positivity, appropriate comparisons, cautious interpretation, practical recommendations, sources and presentation. System points go to explaining what is counted and how. Trend points reward clear figures with marked changes. Artifact points depend on identifying reporting and screening effects. Positivity points require using it as a check. Comparison points go to accounting for differences in testing. Reports that conclude cautiously, and recommend presenting positivity and system changes in every future report, tend to earn the highest grades.

Common PU520 Unit 6 mistakes, and how to avoid them

Surveillance reports often lose points by treating reported cases as a direct measure of infection, by ignoring reporting changes or by comparing groups that are tested at very different rates. Describe how a case enters the system. Mark every system change on your figures. Add testing volume and positivity to the case counts. Compare groups while noting differences in testing. Check data quality, such as duplicates and missing fields. Compare with state or national trends to see whether a change is local. Draw conclusions only as far as the data allow, and recommend how future reports should present the information so readers do not mistake more testing for more disease.

Get a PU520 Unit 6 example written to your instructions

Identify the series your PU520 Unit 6 report examines, whether a notifiable disease, a syndromic feed or a registry, and attach the data or its source with the prompt and rubric. A free first custom sample, ready in 24-48 hours, describes that system before reading its trend and marks every artifact it finds. 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 6 questions, answered

Where can I find a free PU520 Unit 6 sample paper?

The complete PU520 Unit 6 surveillance report is here, interpreting ten years of reported chlamydia in a composite county.

Why did reported chlamydia jump in year six?

Electronic laboratory reporting began, capturing results that earlier went unreported.

What does stable positivity show?

That rising case counts mostly reflect more testing, not more infection.

Why are men's reported rates lower?

Men are screened much less often than women.

How long is the PU520 Unit 6 report?

About four pages with two figures and one table.