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Exam (elaborations)

NR 503 Midterm Exam Questions and Answers

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NR 503 Midterm Exam Questions and Answers

Institution
NR503
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NR503








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Institution
NR503
Module
NR503

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Uploaded on
December 17, 2025
Number of pages
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Written in
2025/2026
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NR 503 Midterm
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Terms in this set (34)


used to monitor changes in disease frequency or to monitor changes in the levels of
Surveillance risk factors. Most frequently conducted for infectious diseases "on going systemic
collection, analysis, and interpretation of health data" Descriptive

Rates tells us how fast the disease in the population is occurring

Proportions tell us what fractions of the population is affected

is defined as the NEW number of cases of a disease that occur during a specific
Incidence rate of a disease
period of time in a population at risk

the incidence calculated using a period of time during which all of the individuals in
Cumulative incidence
the population are considered to be at risk for the outcome

Person Time when different individuals are observed at different times (person years)

Different Periods of time incidence rate # of NEW cases/total person-time

Identifying New Cases in order to calculate knowing the baseline then re screening after a year to see the new cases that have
incidence developed

number of people exposed to a suspect food who became ill/ # of people who
Attack Rate
were exposed to that food

# of affected persons present in the population at a specific time/ # of persons in the
Prevalence population at that time. This is view more of a snapshot through the population at a
point in time. prevalence=incidence*duration of disease

prevalence of the disease at any time point during a certain time period (when you
Point prevalence
see the word prevalence without any modifier it typically means point prevalence)

how many people have had the disease at a certain point during a certain time
Period prevalence
period.

example of insulin: Insulin controls diabetes and prevents people from dying from it,
When does prevalence increase/decrease?
increasing prevalence. Deaths decrease prevalence.

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