EPI Flashcards
Epidemiology purpose
Quantify disease/death in pop
Quantify causes of disease in pop
Identify causal links to disease and death
Test claims of interventions efficiency
Break causal links
Classical Epidemiological Practice Steps
- Identify a health problem
- Describe its distribution (descriptive epi)
- Hypothesize potential causes
- Determine causal associations (analytical epi)
- Intervene
- Assess for results
- Repeat
Descriptive Epi purpose
describing distribution of disease in pop/ health conditions and determinants
Variables used in descriptive epi
time, person, place, measures of morbidity (and why we are using these). use to analyze outcomes AND determinants
We have to see if associations are…
causal
An observed association can be due to 4 things:
- cause
- chance
- confounding
- bias
Intervention can help with all 3 levels of prevention
- Primary: Prevent initial development
- Screen and catch early to reduce severity
- Reduce clinically apparent disease’s ultimate impact through treatment or rehabilitation
Goals of Descriptive Epi
Understand burden of disease in population
Understand causal links to disease, death, and disability
Generate hypotheses for further study
Track trends in pop. health
Morbidity
Disease and disability
Mortality
Death
Counts
of cases in a pop
Fractions
Proportion of population that is a case
Rate
Cases per time (fraction per time)
In descriptive epi, analyse outcomes and determinants by these 3 things
time, person, place
“Place”
urban/rural, community, political
“Person”
education status, wealth status, race, gender/sex, disability
Incidence
of new cases in a defined pop
Prevalence
Current cases present in a defined pop.
What does a population at risk exclude
Those already w/ the disease
Those who are biologically unable to contract disease
The 3 measures of incidence
Count, rate, proportion
Incidence Count
Number of new cases in a population (say in 2018)
Incidence Proportion/Fraction
of new cases / # of people in population at risk in a given time
What is incidence proportion a measure for?
RISK
Cumulatative incidence is a measure of ______ ______ and measures
Incidence proportion: measures the number of new cases of a disease occurring during a specific time period
“20% of men develop diabetes before 60th birthday)
Incidence Rate
of people who develop case / total person time at risk
When to use incidence rate?
When comparing different people/groups in a study for a different amount of time. Assume rate of contraction remains constant
How to calculate Incidence rate?
total # of new cases in a period / population at risk x time
Difference between incidence proportion and rate
Incidence proportion is over population at risk, incidence rate is person time. Proportion can show if there is an alarmingly large amount of cases given a pop. size, unlike a rate
Attack rate
Same as incidence proportion, but usually refers to outbreaks or risks related to particular exposure
Prevalence proportion
of people with disease / # of people in at risk pop
Point prevalaence
prevalence at particular point in time (convention)
Period Prevalence
count/proportion of who had disease at any time within a period
Relationship between incidence and prevalence
Prevalence depends on incidence and duration of the disease
_____ is an example of high incidence, low prevalence
_____ is an example of low incidence, high prevalence
common cold
chronic heart disease
Illness duration depends on
Speed of cure/death
Prevalence is a good measure of ______ but not of _________
burden of disease, but not of risk
Prevalence = Incidence x Duration assuming
steady state, closed pop, somewhat low prevalence
When is seeing increasing prevalence good
For incurable chronic diseases, means life spans are increasing
Problems with Numerator in Morbidity Data
Over/under inclusive case definition (must be precise)
Errors/bias in data collection
Changing case detection (better screening procedures)
Problems with Denominator in Morbidity Data
Only those AT RISK in denominator
Having strict/precise definitions for sub populations
What does mortality depend on
lethality of disease and prevalence
Mortality Count
of deaths in a defined pop
Annual mortality rate
of deaths in a pop in a year / population size on avg/at year’s midpoint
Cause specific mortality rate
of deaths from particular cause/# of people in pop. in time period
Age-specific mortality
of deaths in age group/pop of that age group
Years of potential life lost
Total yrs of life lost before standard age, measures premature mortality
Excess mortality
of rate of deaths observe in pop - expected # of rate of deaths in pop historically
Proportionate mortality
of deaths from particular cause in a pop. / total # of deaths in a pop
Case fatality
of people who die from disease / number of people who have acquired disease (best for acute time period diseases)
Case fatality rate doesnt measure population impact, it measures _______
lethality
5 year survival rate
After 5 years, this % of infected survive (denominator should include only people who were diagnosed at least 5 years ago)
Problems w/ mortality data
Assigning cause of death may be difficult (immediate, underlying, or contributing causes)
Case definition of cause of death can change
If multiple causes of death, hard to attribute
Life expectancy
Crude but actual measure of population level mortality. Very sensitive to early mortality
Prognosis and natural history stages
- Biological onset
- Pathological evidence (if sought
- Signs and Symptoms emerge
- Seek Case
- Diagnosis
- Treatment
- Outcome (death, cure, disability, control)
Where is the border between non clinical and clinical stages of natural history
signs and symptoms
Why might aids diagnoses fall after routine testing is implementing?
After people are aware of their status, they may engage in safer sex
Where were hiv outbreaks in dc
- center city
- southeast
Population density contributes to _______ incidence. Lack of transportation contirbutes to ________ incidence.
higher, lower
Incidence is the # of cases, not necessarily the number of diagnoses
just remember this
For chronic diseases, we actually want prevalence to ______ in the short term
increase, indicates longer life spans
What is a sample statistic a best measure of?
population parameter
The standard error and CI calcualted from the sample are our best approximations of how much our population parameter would…….
vary if we were to draw a different sample in the same manner from the same population
Unlucky sample are
always possible
The larger the sample
the less random variation we expect, closer to pop. value we expect our sample estimates to be
random (non-systematic error):
discordance between calculated sample value and true population value
If we were to take hundreds of samples,
any given sample may randomly diverge, but the average value estimated would match the population value
Non-random error
everything else besides random sampling error that causes an inaccurate estimate of population value –> LEADS TO BIAS