INTL 340 Lecture Notes - Lecture 8: Birth Weight, Preterm Birth, Perinatal Mortality

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Week 4 Class 2
Week 4- Measurement
epidemiology: basic concepts
population-based and composite measures
sections: exercise on global burden of disease
Epidemiology, historical roots
John snow and the Broad Street pump
Miasma theory: exposure to unsanitary environments and “bad air”, noxious vapor,
responsible for disease spread
1854: John Snow investigates cholera outbreak in London neighborhood, causes cluster
around the pump
Methods of investigation: case identification, mapping, identification of source/cause
Intervention: removal of the pump; provision of clean water
Epidemiology, approach
determining associations between some characteristic of the environment (“exposure” or
“risk factor”) and some characteristic of the population (disease/illness)
Aim: determine risk or ecology of disease, use research to inform policy to address disease
in populations
risk factor approach: which factors increase risk on contracting disease?
outcome statistics: often expressed as odds ratio (ex: what are the increased probabilities of
contracting disease given X risk factor?)
assess & describe health status of populations = epidemiology
Epidemiology
Epi research explores associations between risk factors (behavioral, environmental, social)
and disease; does not provide causal explanation
to get closer to causality: 1) engage specific study designs 2) analyze data using statistical
process to “control for” possible alternative explanations
A science of association, at the population level
not proving things, using tools to convince people about our associations
dose response effect is something epidemiologists look for
the more of a drug you give someone, the response/outcomes you see
same kind of concept for epi, dose response effect between someones social
position and early death
dose of lower social status rather than a drug (drug: potential social risk
factor)
correlation is usually convincing evidence
Epidemiology, measures
Epi data describe disease burden in population
PREVALENCE: # of existing cases of a disease in a population at a point in time
INCIDENCE: # of new cases in a period of time
Morbidity: rates of disease
Mortality: rates of death
RATES: standardized per population size (usually expressed as per 1,000)
CMR is usually 1000 or something pay attention to what the standard # is
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Document Summary

Sections: exercise on global burden of disease. John snow and the broad street pump. Miasma theory: exposure to unsanitary environments and bad air , noxious vapor, responsible for disease spread. 1854: john snow investigates cholera outbreak in london neighborhood, causes cluster around the pump. Methods of investigation: case identification, mapping, identification of source/cause. Intervention: removal of the pump; provision of clean water. Determining associations between some characteristic of the environment ( exposure or. Risk factor ) and some characteristic of the population (disease/illness) Aim: determine risk or ecology of disease, use research to inform policy to address disease in populations. Outcome statistics: often expressed as odds ratio (ex: what are the increased probabilities of contracting disease given x risk factor?) Assess & describe health status of populations = epidemiology. Epi research explores associations between risk factors (behavioral, environmental, social) and disease; does not provide causal explanation.

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