Epidermiology Flashcards

1
Q

Epidemiology is

A

Study of the occurrence and distribution of health-related state and events in a specific population. Look at the population.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Epidemiology outbreak model:

A
  • Verify the Dx
  • Confirm of the outbreak
  • Identify the affected persons and characteristics
  • Defines and investigates the population at risk
  • generating the hypothesis
  • containing the outbreak
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

First one notice the link between environment and health?

What did he notice and record:

A

Hippocrates

Upstream vs downstream of a river (dirt and bacteria in downstream)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Plague epidemics, 30%-50% of the population died. What was the link with environment?

A

Plague transmitted through parasite on rat.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

William Farr and Jonh Snow initiated what?

A

Statistical data in England that clear the relationship between death and job. John snow linked cholera with sources of water contaminated

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Florence Nightingale works as epidemiology?

A

Collected data, did polar diagram on crimean war in Turkey cause of dead/disease and each period of time (each month)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Venn diagram component?

A

Factor that may increase risk grouped:

  • Host Caracteristics (genetics profile, age, sexe..)
  • Agent Types/ caracteristics (biological/infectious, chemical, physical harm, nutritionnal, psychological)
  • Environmental caracteristics (Physical- weather, geographical, Biological-plants, Social-neirbohood,work, home)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Causation

A

Causation is when the association is confirmed beyond doubt. Statistical cause and effect relationship.
Necessary (stressor present) and sufficient (enough exposure)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Association

A

= correlation (between 1 and 0)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Web of causation is

A

helpful to visualize the relationship between many causes related to a heath prob/challenges (Causation is multifactoriel)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Mesurement use in epidemiology:

A

Rate express in fraction

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Crude mortality rate:

A

total death in a year of a population/ average total population in same year.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Specific mortality rate:

A

total death in a year of a sub-population/average total pop. in same year.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Infant death rate

A

total death in a year in a pop./total live birth in same population

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Prevalence rate

A

nb of people with given disease in a given population at one point in time/ total in given population at the same point

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Incidence rate

A

nb of new cases of given disease in population in given time (one year)/ average total pop. in same time

17
Q

Relative risk

A

incidence rate of disease in exposed pop.(with risk factor)/incidence of disease in unexposed pop.(without risk factor)

18
Q

Mortality rates is complete and easy to obtain, what are the measurement possible about mortality?

A

Cude mortality rate
Specific mortality rate
Proportional mortality rate (Pie chest)
potential years of life lost (eg. HIV, bc in youth people = high potential of life lost)

19
Q

What are the 2 traditional indicators commonly use to measure and compare a country’s progress in terms of heath status?

A
  1. Infant mortality

2. Life expectancy

20
Q

Maternal mortality why is important?

Eg. of death?

A

The mother but often baby will also die.

eg.: bleed to death

21
Q

Survival rates is

A

the people with disease that live with it.

22
Q

Case-fatality rate is

A

How likely a person will die from a disease

23
Q

Incidence is expressed as:

A

Number of new cases/ total population

24
Q

Prevalence is expressed as:

A

Number of existing cases of disease (new and old)/ total population during same time

25
1. Incidence vs prevalence? 2. Which is more important and why?
1. Incidence= new case vs prevalence= existing case(new+old) | 2. incidence more important bc can intervene.
26
Eg. of 1. similar and 2. difference in the incidence and prevalence rate.
1. Chicken Pox, Ebola (short lived disease) | 2. Cancer
27
Ex. of Relative risk:
Lung cancer in smokers/lung cancer in non-smoker
28
If the result of the rate is 1=
Stressors (eg. smoking) has no effect.
29
If the result of the rate is >=
Stressors (eg.smoking) as effect.
30
If the result of the rate is <=
Stressors (eg.smoking) has no effect on the diseases.
31
Surveillance of diseases in epidemiology:
Constant monitoring to assess patterns and quickly indentify events that do not fit the pattern.
32
Surveillance of infectious diseases:
Monitoring people with the disease and their contacts.
33
Surveillance of a disease with genetic component:
Data can be collected through extended family relationship.
34
Extent of questions in epidemiology:
Who? What? When? Where? | + 2bonus: How? Why?
35
What is the classical epidemiologic triangle?
Vienn diagram including 3 components: Host, agent typs and environmental characteristics.
36
Type of Morbidity rates:
``` Prevalence Incidence Relative risk point prevalence period prevalence ```