epidemiology Flashcards
Examines the distribution of a disease in a population, and describes the features of its distribution in terms of person, place and time (PPT) —-
descriptive epidemiology
( what : health issue
who: person
where: place
when: time )
Tests a specific hypothesis about the relationship of a disease to a possible cause.
It does so by conducting a study that measures the association of the exposure to the risk factor (or factors) to the disease of interest known as —
analytical epidemiology
the key feature of analytic epidemiology is —-
different study design offer different ways of — an appropriate comparison groups. this impacts on the — of the study design
-comparison groups
- identifying
- strength
When we measure frequency and distribution of disease, we need to take account of the —- of the population, we do this by incorporating a — in our measure
1- the numerator is the —
2- the demoniator is the —-
- size
- demonitaor
- event or count
- population at risk
how important is the use of rates to healthcare planning :
( read)
Over a period of twelve months an accident and emergency department at a city hospital noted that the acute medical admissions for people over 65 had risen by 30% in the past year when there had been no change in the previous five years.
1-who: person
the characertsics are:
-Age
-Sex
-Ethnicity
-Marital status
-Socio-economic status :
1-education,
2- occupation
3-income
-Behaviour / habits
2- a place: where these include
1- are they — or —- as:
2- — effects as:
3- ——
4- relation to — exposure as:
- restricted or widespread as outbreak , epidemic , pandemic
- climate effect as temp and humidity
- urban/periurban /rural
- environmental exposure as water and food supply
3- time: where
usually displayed on —-
1- vertical aka y axis usually shows the —
2- horizontal or x axis show the —-
- the —– is plotted over —
- graphs of disease occurrence over time are usually plotted as — or —
- graphically
- number or rate of cases
- time periods as years or months
- number or rate of cases is plotted over time
- line graphs or histograms
change in disease over time can be :
1 — : related scattered cases
2—- : unusually increase in incidence
3- — seasonal chnage in condition or injury that conforms to regular seasonal pattern
4- —- recurrent alteration in occurrence , interval , or frequency of sieves but mo during a fixed period
5- —– long term changes over years or decades and can apply to both infectious and non infectious diseases
- sporadic
- epidemic ( not endemic )
- seasonality
- cyclic trend
- secular trends
when we look for differences over time we need to ascertain whether they are due to:
1- chance/random error: Random variation will occur over time. We use statistical methods to measure how likely it is that variation has arisen b yhance.
2- artefact as:
- mistakes made in collecting or organizing the data
- changes in sensitivity or specificity of the surveillance system
- Changes in the perceptions of the public or the health care community about the importance of diagnosing and reporting a particular disease
3- a real difference :
True increases or decreases–actual changes in the frequency of the disease (or risk factor) in the population
What is the most likely reason for changes in food poisoning rates:
1 – change is due to chance
2 – change is artefactual
3 – there has been a real increase in food poisoning rates
crude mortality rate ( CMR) is —- over —-
(number of deaths during a specific period / number of persons at risk of dying during the same period ) x10 power n
standardised mortality rate;
1-CMR cannot be used to compare two populations because they may have a —
2- When comparing mortality across two or more populations we must first remove (through standardization) —–
3- this can be accomplished through — and — standerization
4- also referred to as —
- different age and sex composition
- difference in age composition
- direct or indirect
-adjust rate
—- is used to avoid using crude mortality rate
standerised mortality rate
The —— of rates eliminates the influence of different age distributions on the morbidity or mortality rates being compared
age-standardization