Exam-Style Questions | Pass Guaranteed – A+ Graded
SECTION 1: Epidemiological Foundations
Question 1
A community health nurse is reviewing local health department data and notes that 150
new cases of type 2 diabetes were diagnosed in a city of 50,000 residents during 2024.
At the beginning of 2024, 800 residents were already living with diabetes. Which
measure best describes the 150 new cases?
A. Prevalence
B. Incidence
C. Attack rate
D. Standardized mortality ratio
Correct Answer: B
Rationale: Incidence measures the number of new cases of a disease that develop in a
population at risk during a specified time period. The 150 new cases represent
incidence. Prevalence (A) would include all existing cases (800 + 150). Attack rate (C) is
a specific type of incidence used during outbreaks or epidemics, typically expressed as
a percentage over a short period. Standardized mortality ratio (D) compares observed
deaths to expected deaths based on a standard population.
Question 2
During a foodborne illness outbreak at a wedding reception, 120 guests attended and
45 developed gastrointestinal symptoms within 24 hours. What is the attack rate?
A. 27.3%
B. 37.5%
C. 45.0%
D. 66.7%
Correct Answer: B
,Rationale: Attack rate = (Number of ill / Number at risk) × 100 = () × 100 =
37.5%. This is a specific incidence measure used in outbreak settings. Option A
incorrectly divides 45 by 165 (total including those not at risk). Option C uses the raw
number without calculation. Option D incorrectly calculates 120/45.
Question 3
A nurse epidemiologist is comparing two communities. Community A has a high
incidence of influenza but low prevalence, while Community B has low incidence but
high prevalence. Which factor best explains this discrepancy?
A. Community A has a more effective vaccination program.
B. Community B has a longer average duration of illness.
C. Community A has a younger population demographic.
D. Community B has better access to acute care services.
Correct Answer: B
Rationale: Prevalence = Incidence × Average Duration of Disease. High prevalence with
low incidence indicates that the disease duration is long (e.g., chronic conditions), while
high incidence with low prevalence indicates short duration (e.g., acute, self-limiting
infections like influenza). Vaccination (A) would reduce incidence. Population age (C)
and acute care access (D) do not directly explain the incidence-prevalence relationship.
Question 4
In 2023, a hospital recorded 500 admissions for community-acquired pneumonia. Of
these, 25 patients died during hospitalization. What is the case fatality rate?
A. 0.5%
B. 5.0%
C. 20.0%
D. 25.0%
Correct Answer: B
Rationale: Case fatality rate = (Deaths from disease / Total cases of disease) × 100 =
() × 100 = 5.0%. It measures the severity of a disease among those diagnosed.
Option A incorrectly divides 25 by 5,000. Option C inverts the calculation (500/25).
Option D uses the raw number of deaths as the percentage.
,Question 5
A public health nurse is calculating the point prevalence of depression in a community
on March 1, 2024. Which individuals should be included in the numerator?
A. All residents who developed depression in the past year.
B. All residents who have ever been diagnosed with depression.
C. All residents who meet diagnostic criteria on March 1, 2024.
D. All residents who were diagnosed between January 1 and March 1, 2024.
Correct Answer: C
Rationale: Point prevalence measures the proportion of a population that has a disease
at a specific point in time. Option A describes period prevalence or incidence over a
year. Option B describes lifetime prevalence. Option D describes cumulative incidence
over a three-month period.
Question 6
A county health department reports a crude mortality rate of 12.5 per 1,000 population.
A nurse researcher notes that the county has a rapidly aging population compared to
the national standard. After direct age adjustment, the adjusted rate is 9.8 per 1,000.
What does this indicate?
A. The crude rate overestimates the true mortality risk.
B. The crude rate underestimates the true mortality risk.
C. Age adjustment is inappropriate for mortality data.
D. The population has lower than expected mortality.
Correct Answer: A
Rationale: When the adjusted rate (9.8) is lower than the crude rate (12.5), it indicates
that the crude rate was inflated by the older age structure of the population. Age
adjustment removes the confounding effect of age distribution, revealing that the
population's mortality experience is actually lower than the crude rate suggested. Option
B would be true if the adjusted rate were higher. Option C is incorrect; age adjustment is
standard practice. Option D is partially true but less precise than A.
Question 7
, A state health department wants to quantify the impact of motor vehicle accidents
(MVA) on premature mortality. MVA deaths occur primarily in individuals aged 15-34.
Which measure is most appropriate?
A. Crude death rate
B. Age-specific death rate
C. Years of potential life lost (YPLL)
D. Infant mortality rate
Correct Answer: C
Rationale: YPLL is calculated based on the difference between the age at death and a
predetermined standard age (often 65 or 75 years), emphasizing deaths that occur
earlier in life. It is the ideal measure for quantifying premature mortality from injuries
like MVA. Crude death rate (A) and age-specific rate (B) do not weight deaths by
prematurity. Infant mortality rate (D) is restricted to deaths under one year.
Question 8
A manufacturing plant with 2,000 workers reports 15 new cases of occupational
asthma over two years. The national standard population has an incidence rate of 3
cases per 1,000 workers per year. What is the standardized incidence ratio (SIR)?
A. 1.0
B. 1.5
C. 2.5
D. 5.0
Correct Answer: C
Rationale: Expected cases = 2,000 workers × 3/1,000 per year × 2 years = 12 cases. SIR
= Observed / Expected = = 1.25. Wait, let me recalculate: 2,000 × (3/1,000) = 6
per year. Over 2 years = 12 expected. 15/12 = 1.25. Hmm, this doesn't match my options
well. Let me adjust the question.
Actually, let me fix this. If the national rate is 5 per 1,000 per year: 2,000 × (5/1,000) × 2 =
20 expected. 15/20 = 0.75. Not matching either.