case unit 1 - cholera Flashcards

1
Q

which averages should you use for quantitative data

A

median

mean

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2
Q

why is the mode not useful for quantitative data

A

there might be more than one mode
each value in the study might only appear once
mode could be a high or low number (far from middle)

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3
Q

what methods do you use to quantify variation?

A

sd
iqr
range

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4
Q

benefits of case report study design

A

can identify new trends/diseases
helps detect new drug side effects
identifies rare manifestations of a disease

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5
Q

case report study

A

reports a new case of newly identified symptoms or outcomes
observation of symptoms, diagnosis and treatment of the individual case
presents hypothesis to be confirmed by another study type

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6
Q

types of observational study

A

case report
case control
cohort

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7
Q

limitations of case report study

A

may not be able to generalise the individual cases
report not based on systematic studies
other possible explanations for outcomes
report only focuses on rare event, may be misleading

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8
Q

case control study

A

‘retrospective’ - disease has already occurred
compares patients with disease to those without
evaluates relationships between risk factors and disease
estimates odds

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9
Q

benefits of case control study

A

good for studying rare diseases
takes little time as disease has already occurred
multiple risk factors can be studied at the same time
risk factor-disease associations can be established

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10
Q

limitations of case control

A

problems with data quality and data relies on memory
recall bias as people remember worse things
hard to find suitable control group

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11
Q

cohort study

A

evaluations of causative risk factors determined after following cohort populations during their disease
measurements taken of outcomes

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12
Q

benefits of cohort study

A

subjects are matched which limits influence of confounding variables
standardisation of criteria/outcomes
easier and cheaper than rct

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13
Q

limitations of cohort study

A

difficult to identify cohorts due to confounding variables
no randomisation
blinding of subjects is difficult
takes time for outcome of interest to occur

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14
Q

randomised control study

A

subjects randomly assigned to control or intervention group

only variable studied is the expected difference between the groups

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15
Q

benefits of rct

A

no population bias due to randomisation
easier to mask/blind subjects
statistical analysis using known methods easy
clearly identified populations

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16
Q

limitations of rct

A

expensive
time-consuming
volunteering populations not representative of entire population
causation of disease not revealed

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17
Q

practice guidelines

A

produced by panel of experts
guidelines on prevention/treatment/diagnosis/prognosis of disease
informs health care professionals

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18
Q

systematic review

A

combines and summarises all information from previous studies on one health topic or question

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19
Q

meta-analysis

A

statistical method of combining results from different studies to increase statistical power

20
Q

what are kochs postulates used for?

A

establishing a causative relationship between microbe and disease

21
Q

what do koch’s postulates require

A

that the pathogen is present in all cases of the disease
that the pathogen can be isolated from the host and grown in pure culture
the pathogen grown in culture can cause the same disease when inoculated into a healthy, susceptible lab animal
that pathogen can then be re-isolated and be the same as the originally isolated pathogen

22
Q

aetiology

A

study of the manner of causation of the disease

23
Q

kuhn

A

paradigm shift

24
Q

what is meant by the term paradigm shift

A

a fundamental change in the basic concepts and experimental practices of a scientific disciplicne

25
when does a paradigm shift occur
when there are enough significant anomalies that cannot be explained by the current paradigm
26
why can pcr be used to detect viral dna in human tissue samples
viral dna sequences will be different to any human dna sequences
27
outline process of pcr for viral dna
identify specifc viral dna sequence make forward and reverse primers mix sample and primers and heat to 96 to denature cool to 60 to allow complementary base pairing - annealing heat to 72 - optimum for dna polymerase- extension
28
how do you separate dna after pcr
using agarose gel | separated on a size basis
29
uses of qPCR
quantifies amount of a specific sequence of dna | quantifies expression levels of mRNA
30
why do we need reverse transcriptase for qPCR
pcr only works on dna not rna
31
what does reverse transcriptase do
converts mRNA to cDNA
32
how is cDNA produced by PCR measured
by a dye that fluoresces when bound to DNA
33
delta Ct
the change in expression in control sample
34
uses of next generation sequencing
determining the DNA sequence of large numbers of different DNA molecules genome sequencing cDNA sequencing
35
illumina next gen seq method
fragment the genome of dna each fragment gets own area of machine dna amplified into clusters add coloured labelled nucleotides in rounds
36
use of computer in next gen seq
rebuilds dna fragments | looks for overlapping sequences to assemble the gene
37
deep sequencing
multiple sequencing to reduce error
38
exome sequencing
only sequence part of the genome
39
what is a variable
a set of characteristics (data values) | e.g. gender/systolic blood pressure
40
types of variable
categorical | quantitative
41
types of categorical variable
nominal - labelled, unordered | ordinal - ranked
42
what type of variable is 'disease severity'
ordinal
43
relative frequency
way of describing categorical data | proportion or percentage
44
bar chart
graphical description of categorical data
45
ways to describe quantitative data
average variation symmetry
46
relative quantification (RQ)
how many fold increase in expression | ussing delta ct on pcr cycle graph