PUBH 401: Additional Questions for EXAM
1 (not included in Quiz 1 & Quiz 2)
In January 1990, 1,010 young adults offered to participate in a 10-year prospective
study to determine their risk of Type-I diabetes. his group underwent an initial blood test
to determine whether they were diabetic, and eligible subjects were re-tested yearly for
the next 10 years. Among the group that offered to join the study:
•2 individuals who were found to have diabetes in the initial blood screening; these 2
people were referred for treatment and were not enrolled in the study
•1,000 who were disease-free and remained disease-free for the entire 10 years of the
study
• 6 individuals who developed diabetes during the course of the study at the times
indicated in the table below
• 2 individuals who were initially disease-free, but were lost to follow-up during the
study?
= Lost to follow-up + = Blood test positive for diabetes ---- =Continued disease-free
follow-up
In the group that was eligible for - ANS-Cumulative Incidence =6/1008 over 10 years
Incidence Rate = 6/10,035 person-years
The population of Oriol City in June 2018 was 612,437. According to the Oriol City's
health department, there were 329 new cases of Raven's disease during 2018.
Counting the new cases, by December 31 it was estimated that there were 6580
persons with Raven's disease in Oriol City. What was the incidence rate of Raven's
disease in 2018? - ANS-54 per 100,000 population
The population of Oriol City in June 2018 was 612,437. According to the Oriol City's
health department, there were 329 new cases of Raven's disease during 2018.
Counting the new cases, by December 31 it was estimated that there were 6580
persons with Raven's disease in Oriol City. What was the prevalence rate of Raven's
disease in 2018? - ANS-1074 per 100,000 population
A sample of 100 middle aged and elderly women was followed prospectively for 10
years. All subjects entered the study on Jan 1, 1990 and all women were followed until
Dec 31, 1999. None were lost to follow-up. During this period, 5 subjects were
, diagnosed with ovarian cancer but they all survived to the end of the study. The time at
which these 5 subjects developed cancer is shown:
#1 was diagnosed in January 1993
#2 was diagnosed in January 1992
#3 was diagnosed in January 1996
#4 was diagnosed in January 1991
#5 was diagnosed in January 1998.
What was the prevalence of ovarian cancer on Dec 31, 1999? - ANS-5/100 or 5%
A sample of 100 middle aged and elderly women was followed prospectively for 10
years. All subjects entered the study on January 1, 1990 and all women were followed
until December 31, 1999. None were lost to follow-up. During this period, 5 subjects
were diagnosed with ovarian cancer, but they all survived to the end of the study. The
time at which these 5 subjects developed cancer is shown in this table.
What was the cumulative incidence of ovarian cancer?
What was the incidence rate of ovarian cancer? - ANS-Cumulative Incidence = 5 per
100 over ten years
Incidence Rate = 5/970 person-years
Consider a group of 1000 newborn infants. 100 were born with serious birth defects and
20 of these 100 died during the first year of life. 90 of the remaining 900 infants without
any birth defects died during the first year of life. What is the overall cumulative
incidence of mortality in this population? - ANS-110/1,000 = 11%
To determine the incidence rate, which of the following is NOT needed? - ANS-the
amount of time from the beginning to the end of the study
There was a food poisoning outbreak on April 1, 2018, at the City Z Food Safety
Conference. There were 1,000 people registered for the conference with luncheon, 100
volunteers to host attendees, and 50 people who served the luncheon during the
conference. Except for 50 people who served the food, all of the participants and
volunteers ate the food from the luncheon at the conference on April 1, 2018. After an
initial outbreak of food poisoning is reported, an epidemiologist sends surveys to all
people at risk to investigate the cause. However, only 900 people among those at risk
answer the survey. After analysis of 900 survey results, the epidemiologist concludes
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