Eight years of reported pertussis in a composite state are reviewed in this HS340 Unit 9 example, which weighs testing and definition changes against infant hospitalizations before calling any rise real. Searches like "hs 340 unit 9 assignment example", "hs340 unit 9 sample" and "hs340 unit 9 example" land here.
What a finished HS340 Unit 9 surveillance data review looks like
Across roughly four pages, the review works from one table and two figures. The table lists eight years: reported cases, the rate per 100,000, PCR tests performed statewide, and hospitalized infants under one year. Cases climb from 410 in the first year to 1,330 in the fifth, a rate that moves from 13.2 to 42.9. The first figure plots cases and tests on a shared time axis, and year four stands out, with cases up 85 percent while testing rose 133 percent and infant hospitalizations barely moved, from 22 to 24. Year five tells a different story: 39 infants hospitalized, nearly double the average of the four years before. A second figure shows cases by age group. The discussion reads each year against a list of system changes, then states which rises reflect transmission.
How a HS340 Unit 9 example is structured
System first, disease second: the review describes what the state counts before interpreting any number it produces. A short section lists the changes that could move reported cases without any change in infection, namely wider use of PCR testing by the largest commercial laboratory and a revised case definition that counted positive tests in people with shorter coughs. Infant hospitalizations are then introduced as a steadier signal, since a very sick baby is likely to be admitted and tested whatever the reporting rules say. Each year is read against both. Year four fails the test of real change, because the infant series stays flat while testing more than doubles. Year five passes it. The age figure follows, showing that the year-four increase sat mostly among adolescents and adults, the groups most affected by broader testing. Recommendations close the review.
What the state counts
A reported case is a person meeting the case definition in a report that reached the health department. The review lists who reports, which tests trigger a report and when the definition last changed.
Year four under suspicion
Cases rose 85 percent in one year while PCR testing rose 133 percent. The review reads the jump as largely a counting effect, and it states the reasoning in two sentences.
Infants as a steadier signal
Hospitalized infants numbered 22 and 24 across years three and four, then 39 in year five. The review explains why severe infant illness is less sensitive to testing habits.
Where the increase landed by age
The year-four rise was concentrated in people aged 11 and older, whose milder coughs are often missed without routine PCR. Infant counts moved little over the same period.
Recommendations for the series
Publish testing volume beside case counts each year, mark the definition change on every trend chart, and track infant hospitalizations as a separate indicator of true activity.
Where marks go in HS340 Unit 9
Surveillance reviews in HS340 are generally scored on describing the system, interpreting the trend, and matching conclusions to the evidence. The description row rewards specifics, such as which laboratory changed its testing and in which year, rather than a general remark that reporting can be incomplete. Trend marks depend on reading each year against the known changes; testing both suspicious years the same way and reaching different verdicts is what wins them. The conclusion row goes to claims sized to the data: a real epidemic in year five, a mostly artificial rise in year four, and uncertainty about year eight stated as uncertainty. Deductions follow reviews that compare raw counts across years of different testing, that call every rise an outbreak, or that dismiss every rise as reporting.
Get a HS340 Unit 9 example written to your instructions
Point the desk to the series the HS340 Unit 9 review covers, attach the data or the report it comes from, then send the prompt alongside its rubric. A free first custom sample returns in 24-48 hours, describing that surveillance system before judging each change and naming the indicator used to check it.
HS340 Unit 9 questions, answered
Why use infant hospitalizations to check the pertussis trend?
Because severe illness in infants is detected fairly consistently. A baby with whooping cough is usually admitted and tested regardless of the laboratory's methods or the latest case definition, so that count changes mainly when transmission changes. Mild adolescent and adult cases, by contrast, are found only when someone orders a test. A steady severe-illness indicator makes a useful check on any surveillance series.
Is a rise caused by more testing a false rise?
Not exactly. The extra cases are usually real infections that were previously missed, so the rise reflects better detection rather than more disease. The review describes it that way: year four found infections that earlier years did not see. What it cannot be read as is growing transmission, and a report that says so without dismissing the cases is being precise.
Where can data for a surveillance review be found?
State health departments publish annual reportable disease summaries, often with notes on definition changes, and the national notifiable disease system posts weekly and annual tables. Testing volume is harder to find and sometimes appears only in special reports. Where a prompt supplies composite data, as here, the review should still describe the system behind the numbers as if it were real.