Reported TB across eight years in a composite state, read in MN505 Unit 9 for what the counts show, what they hide, and whether a staffing cut follows. Searches like "mn 505 unit 9 assignment example", "mn505 unit 9 sample" and "mn505 unit 9 example" land here.
What the 2020 Tuberculosis Dip Measured: A Surveillance Data Review and a Staffing Decision
[Student Name]
Purdue University Global
MN505: Epidemiology and Health Promotion
Unit 9 Assignment
[Instructor Name]
[Date]
The state, its figures and the staffing proposal are composites written as a model document. No real health department's data are shown.
How a Case Reaches the System
Tuberculosis surveillance counts verified cases reported by clinicians and laboratories to the state health department. A case enters the system only if a person has symptoms or a risk factor, seeks care, is suspected of tuberculosis by a clinician, and has a test that confirms it or meets the clinical case definition. Every step can fail independently of how much disease is present. Anything that reduced clinic visits, chest imaging or laboratory testing in 2020 would reduce reports without reducing infection. A surveillance system should be evaluated for how completely it captures the events it is meant to count, not only for the numbers it produces (German et al., 2001).
The Series
Annual reported cases: 2016, 142; 2017, 138; 2018, 133; 2019, 129; 2020, 98; 2021, 112; 2022, 131; 2023, 151. The 2023 rate was 151 / 4,600,000 x 100,000 = 3.28 per 100,000. From 2016 to 2019 the count declined gently, by about 3 percent a year. In 2020 it fell by 24 percent, from 129 to 98. It then rose in each of the next three years, and in 2023 it exceeded the 2016 level. The line chart plots counts and rates together; the rate follows the count closely because the population changed little over the period.
Explaining the Dip: Less Disease or Fewer Diagnoses?
Two explanations fit the 2020 count. Either less tuberculosis occurred, perhaps because pandemic distancing reduced transmission and travel reduced new arrivals with latent infection, or the same amount of disease occurred but fewer cases were diagnosed and reported. The count alone cannot distinguish them, so the review turns to indicators the count does not supply.
Severity at diagnosis. The share of cases with cavitary disease on chest imaging, a marker of more advanced illness, was 36 percent in 2019, 41 percent in 2020 and 45 percent in 2021. If fewer people had tuberculosis, there is no reason those diagnosed should be sicker; if diagnosis was delayed, more people would be found at a later, more advanced stage, which is what the severity data show.
The rebound. If transmission had truly fallen in 2020, the counts in later years would be expected to return to the earlier downward trend, not to rise above it. The trend from 2016 to 2019 projected about 114 cases in 2023; 151 were reported. A rebound above the trend is what a backlog of missed and delayed diagnoses would produce, possibly with some added transmission from people who were infectious longer before diagnosis. The national pattern was similar, and national reports attributed much of the 2020 decline to missed or delayed diagnosis (Centers for Disease Control and Prevention, 2024).
Other Explanations Considered
Three further explanations were checked and set aside. A change in the case definition would alter counts without any change in disease, but the national case definition was unchanged across the period. A change in reporting systems, such as a new electronic reporting platform, can produce artificial jumps, but the state's platform was in place from 2016 onward and laboratory reporting volumes for other conditions did not show a similar dip. Changes in migration could alter the number of people with latent infection, and international arrivals did fall sharply in 2020; that could have lowered cases modestly in later years, but it cannot explain a rise above the earlier trend. Distinguishing real change from artifact in this way is a standard step in interpreting surveillance data (Celentano & Szklo, 2019).
Where the Burden Sits
In 2023, 108 cases occurred among residents born outside the United States, an estimated 520,000 people, a rate of 20.8 per 100,000. The remaining 43 cases occurred among US-born residents, about 4,080,000 people, a rate of 1.05 per 100,000. The non-US-born rate is about 20 times higher, consistent with reactivation of infection acquired in countries where tuberculosis is common. The denominator for non-US-born residents is itself a survey estimate with a margin of error of several percent, so the rate should be read as approximate.
A boxed note describes a genotype cluster: nine US-born cases diagnosed from 2021 to 2023 share the same genotype and are linked by residence in one county and time spent at a shared community site. A cluster of this kind indicates recent local transmission, which reactivation among people born abroad cannot explain, and it needs substantial nursing time for contact tracing and testing.
The Staffing Decision
The proposal to eliminate one of the state's three tuberculosis clinic nurse positions cited the 2020 decline as evidence of reduced need. The review finds the opposite. The decline most likely reflects missed and delayed diagnoses, the caseload has since risen to 151, the highest in eight years, patients are being diagnosed with more advanced disease, and a cluster shows local transmission. Each active case requires months of treatment, directly observed therapy in many cases and contact investigation, and the nurse caseload has risen with the counts: about 50 cases per nurse in 2023 against 43 in 2019.
Limitations of This Review
The review relies on aggregate surveillance counts and a single severity indicator. It cannot measure how many cases went undiagnosed, only infer delay from later severity and the rebound. The cavitary share is recorded for most but not all cases, and missing imaging data could bias it. The nurse caseload figures assume that each nurse manages a similar share of cases, which may not hold across regions. None of these limits reverses the conclusion, but each is a reason to add the monitoring recommended below.
Recommendations
First, retain the nurse position; the workload measures support it. Second, restore targeted testing for latent infection among recent arrivals and close contacts, which was curtailed in 2020. Third, complete the contact investigation around the nine-case cluster and review it quarterly. Fourth, add a severity indicator, such as the share of cavitary cases, to routine surveillance reports so that future changes in counts can be interpreted. Fifth, report rates by birthplace with the uncertainty in their denominators stated. Sixth, revisit the staffing question in two years using caseload per nurse, time to treatment start and completion of therapy, rather than the annual count alone, since those measures reflect the work the clinic nurses actually do.
References
Celentano, D. D., & Szklo, M. (2019). Gordis epidemiology (6th ed.). Elsevier.
Centers for Disease Control and Prevention. (2024). Reported tuberculosis in the United States, 2023. U.S. Department of Health and Human Services.
German, R. R., Lee, L. M., Horan, J. M., Milstein, R. L., Pertowski, C. A., & Waller, M. N. (2001). Updated guidelines for evaluating public health surveillance systems: Recommendations from the Guidelines Working Group. MMWR Recommendations and Reports, 50(RR-13), 1-35.
How this MN505 Unit 9 example is structured
The review first describes what the system counts and how, then reads the series, then weighs alternative explanations, and only then addresses the staffing question. The system description matters because tuberculosis reporting depends on someone suspecting the disease and ordering a test, so anything that reduced clinic visits in 2020 would reduce reports without reducing infection. The series reading comes next, stated plainly. Alternative explanations are tested against indicators the count alone cannot supply: more cavitary disease after the dip suggests later diagnosis, and a rebound above the earlier trend suggests a backlog rather than new transmission alone. The birthplace table shows where the burden sits and flags that its denominator is itself a survey estimate with a margin. The genotype box shows that some local transmission is happening. Recommendations follow from all of that, and the staffing cut is argued against with numbers.
Get an MN505 Unit 9 example written to your instructions
Surveillance prompts vary in disease, place and years, so the review is always built from the series handed out with your Unit 9 assignment. Upload the data or report, the questions and your rubric. The first custom sample, free and tailored to those instructions, lands in 24-48h, with each trend tested against a second indicator before any conclusion. 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.
MN505 Unit 9 questions, answered
Why would reported tuberculosis fall if the disease did not?
Because reports depend on diagnosis. When fewer people see clinicians, when respiratory symptoms are attributed to another illness, or when laboratories redirect capacity, fewer cases are identified even if the same number of people are sick. Tuberculosis progresses slowly, so missed cases often surface later and sicker. That is the pattern the review looks for in its severity indicators.
What does a genotype cluster add to a surveillance review?
Genotyping compares the bacteria from different patients. Matching patterns suggest recent transmission between them, while unique patterns point toward reactivation of infections acquired long ago, often elsewhere. Counts alone cannot tell the two apart. The example's cluster of nine linked US-born cases indicates local spread, which changes the recommendation from monitoring to active contact investigation.
How should rates by birthplace be presented without stigmatizing anyone?
By framing them as a guide to where screening and treatment resources belong, not as a statement about any group. Most cases among people born abroad reflect infections acquired years earlier that later reactivate. The example pairs its birthplace table with a sentence on latent infection testing and treatment, which keeps the numbers tied to a service rather than to blame.