Epidemiology Flashcards

0
Q

Outline Kocks postulates.

A

To cause disease pathogens must:
Found in all cases of disease
Prepared and maintained in pure culture
Capable of producing the original infection after several generations of culture
Retrievable from an infected animal and able to be cultured again

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1
Q

Who first suggested that some diseases were caused by microorganisms?

A

Louis Pasteur

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2
Q

What was Rudolph Virchows famous quote about One Health?

A

Between animal and human medicine there is no dividing line… And nor should there be.

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3
Q

Describe the Anti-Germ theory.

A

Epidemics are of social origin - use politics to combat
Disease agents used bodies as habitats (didn’t cause disease)
Social change could be used to combat disease

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4
Q

Why is Roisin great?

A

Because she’s lovely, kind, pretty, smiley, funny and I (Nicole) am very lucky to have such an ace friend!

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5
Q

Association

A

Reverse causation

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6
Q

Eradication of Rinderpest.

A

2011

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7
Q

What problems are there with “cause = infectious agent” ?

A

Multi causal disease:
Infectious agent
Environmental factors - husbandry, stress
Immunological factors

It is important to control the infectious agent and the other factors which are affecting welfare

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8
Q

Outline Hill-Evans postulates.

A

Vague points, not all need to be fulfilled ***add

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9
Q

Confounder

A

A third variable which affects both cause and outcome and therefore can distort results.

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10
Q

Structural violence

A

Exerted by society

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11
Q

What effect does increased sample size have on random error and selection bias?

A

Random error decreases

Selection bias does not change

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12
Q

Risk

A

The chance of encountering some form of harm, loss or damage.
Remember, chance = probability, harm, loss or damage = consequence

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13
Q

Outline the basic framework for reducing risk.

A

Risk analysis - risk management - risk communication

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14
Q

Why should we use risk assessment?

A

Structures decision making - evidence based, allows us to identify gaps in data.
Useful in context with HACCP - identify hazards
International trade - common understanding of food safety

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15
Q

How does the OIE framework for risk assessment work? (x4 and brief description)

A

Hazard identification - identify pathogens potentially present in animals.
Release assessment - what is the prob that the agent will be introduced to the given environment?
Exposure assessment - probability that native animals are exposed to agent.
Consequence assessment - consequences if exposure, probability of occurrence

16
Q

How does the CODEX framework for risk assessment work?

A

Hazard identification - hazard characterization - exposure assessment - risk characterization
Focus specifically on food-borne risks from microbial hazards

17
Q

CODEX model

A

Assessing necessity of regulatory controls and their associated impact

18
Q

OIE

A

Emphasis on assessing risks actually present in a given situation

19
Q

Hazard

A

The identification of biological, chemical and physical agents capable of causing adverse health effects and which may be present in particular food groups (CODEX)

20
Q

Exposure assessment

A

Models used to assess the likelihood of exposure of the population to the agent. Flow charts are useful.
Can be characterised qualitative (red, orange, green) or quantitatively spending on data available or need.

21
Q

Quantitative risk assessment

A

Numerical probabilities are given for each stage of a risk assessment model

22
Q

Risk characterization

A

Integration of hazard identification, characterization and exposure to obtain a risk estimate

23
Q

Compare uncertainty and variability.

A

Uncertainty can be reduced by collecting more data whereas variability requires us to estimate more precisely

24
Q

Prevalence

A

Diseased/ population at one time

The rate of a condition

25
Q

Differentiate between incidence rate and risk.

A

Rate - new cases/ total at risk (in a particular time period)
Risk - probability of and event occurring in an individual in a certain period

26
Q

With low incidence how do prevalence and incidence relate to one another?

A

Prevalence = incidence x duration

27
Q

Relative risk

A

The risk ratio (risk = cases/ population @ risk)

Risk ratio = risk a/ risk b

28
Q

Odds ratio

A

Exposed cases / exposed controls divided by non-exposed cases/ non-exposed controls

29
Q

Differentiate between attributable risk and rate.

A
Risk = risk of a disease attributed to the risk factor
Rate = rate in exposed attributed to the risk factor
30
Q

A decrease in p value for a particular statistic means what?

A

Increased significance of the particular risk factor (you are more sure that it caused x)

31
Q

Predictive values

A

Positive - probability of being diseased if the test diagnoses you as so.
Negative - probability of being disease free if the test diagnoses you as so.

32
Q

Sensitivity

A

True positives diagnosed as such

33
Q

Specificity

A

True negatives diagnosed as such by the test

34
Q

Differentiate between apparent and true prevalence.

A

Apparent uses test positives rather than truely diseased animals