midterm 2 equations/calculations Flashcards

1
Q

prevalence

A

cases / total population

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2
Q

cumulative incidence

A

new cases in a specific period of time / # of people at risk at the beginning of the period

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3
Q

incidence rate

A

of new cases during a given time / # of person time (years,months,days) contributed when people were at risk

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4
Q

incidence rate can also be known as..

A

force of morbidity or mortality, incidence density

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5
Q

point prevalance

A

the proportion of people in a population with the disease at a given point in time (ex July 8 2004)

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6
Q

period prevalence

A

the proportion of individuals in a population with the disease at any time during a specified period (ex during 2004)

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7
Q

use of prevalence

A

how many people are affected?
estimate probability an individual will have the disease during a point in time
project health care and other policy needs and issues
estimate costs associated with a particular disease

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8
Q

prevalence cannot tell us..

A

how long someone has had the disease
cause of disease

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9
Q

cumulative incidence should exclude… because..

A

people who already have the disease, people who cannot develop the disease
to avoid underestimating risk

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10
Q

uses of cumulative incidence..

A

estimate probability (avg risk) that a person will develop the disease during a specific time period
research on causes, prevention, and treatment of a disease

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11
Q

incidence rates shows us..

A

true rates - incidence rate can go up or down
denominator represents the window of time people were at risk at developing the disease, not the number of people at risk at the beginning
reported in unit of time (.. per 100 person days, … per 100 person years)

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12
Q

use of incidence rates

A

research on causes, prevention, and treatment of disease

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13
Q

crude mortality rates

A

of new deaths / average population during the year

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14
Q

infant mortality rates

A

of deaths in children up to 1 year in a specific year / # of live births in the same year

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15
Q

standardized incidence or mortality ratios

A

of deaths / # of expected standard population

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16
Q

proportional mortality rate

A

proportion of deaths from a specific cause / proportion expected for standard population

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17
Q

case fatality rate

A

of dead from disease in specific period / total number of cases

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18
Q

how to establish causation

A

temporality - exposure must come first
strength of association - strong effect?
biological plausibility - what is the likely biological mechanism?
consistency - found across a range of studies?
dose response - level and duration of exposure

19
Q

sufficient cause

A

factor that will inevitably produce disease

20
Q

component cause

A

factor that contributes toward disease causation but not sufficient enough to cause disease on its own

21
Q

necessary cause

A

any agent that is required for the development of a given disease

22
Q

what is considered an exposure?

A

infectious agents
behaviours
intrinsic characteristics of individuals
social or environmental factors

23
Q

observational studies

A

the researcher does not intervene in any ways: measurement of occurrence of disease or health outcome, comparing patterns of expose and disease outcomes, identifying risk factors associated with heath/disease

24
Q

experimental studies

A

investigator tries to change something and measure the effect on the disease outcome - clinical trials, preventive trials

25
Q

descriptive studies

A

research that describes the occurrence of disease and/or exposure
remember: PERSON PLACE TIME
ask: WHO WHAT WHEN WHERE WHY

26
Q

analytic studies

A

primary purpose is to evaluate the association between the exposure or characteristic and the development of a particular disease
WHY? HOW STRONG?

27
Q

ecological studies

A

compare the prevalence of exposures and disease occurrence in populations

28
Q

cross sectional studies

A

study group chosen to represent a subgroup of society/cross section of the population

29
Q

case control study

A

choose individuals with disease or outcome of interest and a comparison group without disease

30
Q

prospective cohort studies

A

follow up studies: follow people over time to see what happens
compare rates of occurrence of disease in people with out without a particular exposure

31
Q

epidemiology (where is the word derived from? what does it mean)

A

epi - among
demos - the people
logia - study
= the study of what is upon the people

32
Q

epidemiology dictionary definition

A

the study of the distribution and determinants of health-related states in specified populations, and the application of this study to control health problems

33
Q

applications of epidemiology

A

identifying the cause of a new syndrome
assessing risk of exposure
determine whether treatment “x” is effective
identifying health service use needs and trends
identifying practical prevention strategies

34
Q

endemic

A

cases are continually occurring in the population

35
Q

epidemic

A

outbreak of a disease in a localized group of people - spread by: vectors, carriers, sudden intro of a new pathogen; more cases than usually expected

36
Q

pandemic

A

epidemics that have spread beyond their local region and are affecting people in various/all parts of the world

37
Q

how many people fell ill from TB? (2016)

A

10.4 million people

38
Q

how many people died from TB? (2016)

A

1.8 million people including 400,000 with HIV and TB

39
Q

sensitivity

A

how well does the test classify people with disease as diseased? a/(a+c)

40
Q

specificity

A

how well does the test classify people without the disease as none diseased? d/(b+d)

41
Q

applications of epidemiology

A

identifying the cause of a new syndrome
assessing risk of exposure
determining whether treatment “x” is effective
identifying health service needs and trends
identifying practical preventions strategies

42
Q

ottawa health promotion strategies

A

build healthy public policy
create supportive environments
strengthen community action
develop personal skills
reorient health systems

43
Q

bradford hill criteria

A

temporality - exposure must come first
strength of association - strong effect?
biological plausibility - what is biological mechanism
consistency - is it found across a range of studies
dose response - level and duration of exposure