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Intro to Epidemiology Study Guide

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Intro to Epidemiology
W1 S1 Lecture notes
Epidemiology = patterns of determinants of health-related states or events
 Tool used in public health, focusing on the prevention of disease and
promotion of population or communities
 Help identify health problems in specific populations/communities
 Identify causes of death
o Development of medication and prevention programs
 study of population

Population = group of individuals who share common characteristics (age, sex,
country, or health)

Public health = science of preventing disease, prolonging life and promoting
health in populations

Epidemiological principles
- exposure, determinants, outcome, disease
- socioeconomic background, dietary habits
- principles often interrelated (ex. How lower socio-economic population
can be easily exposed to smoking behaviors)

Double burden of disease
- Having to tackle Infectious disease + non-communicable disease

Epidemiological transition = Changes in disease and health patterns in a
country due to development


Reading notes: Introduction to epidemiological thinking
Epidemiology = the study of the distribution and determinants of disease
frequency; the study of occurrence of illness

Confounding =

Seminar Notes
Grading
 In-class participation (10%)
 Individual assignment (15%): 750-word background
 Group assignment: presentation on study design (15%) study proposal of
max 1500 words
 Group assignment—final assignment (30%)
 Final written exam (30%)

Determinants in epidemiology includes agents, causes, and risk factors  “what
causes the disease?”
Distribution in epidemiology refers to who, when, and where

Epidemiology is about:

, What disease/condition is present in excess?
Who is ill?
Where do the live?
When did they become ill?
Why did they become ill  analytical epidemiology

Designing epidemiological study
 Develop your research question
 Identify the magnitude and characteristics of the health problem

PICO system
P = patient/population
I = Intervention/exposure
C = control/prevention
O = disease/outcome/health state
W2 S1 Chapter 2


Lecture Video
Indicators of health and disease
 Mortality rates (maternal, child, adult)
 Life expectancy
 Case-fatality rate
 Incidence
 Prevalence

Adult mortality = probability of dying between the ages of 15 and 60 years (per
1000) per year
 Global public health surveillance
 Life-expectancy estimates
 To measure disease burden

Maternal mortality = death of a women while pregnant or within 42 days of
termination of pregnancy
Perinatal mortality = fetal death below 28 weeks of pregnancy or within 7
days of life
Neonatal mortality = death of a newborn between birth and first 28 days of
life

Life expectancy = the average number of years that an individual of a given
age is expected to live if current mortality rates continue

Case-fatality rate = the proportion of people who died from a disease within a
(short) time period




W2 S2 Webb & Bain, Chapter 5

, [Types of Epidemiological studies]
John Snow’s Cholera Cohort studies
 Compared households water supplied by Southwark and Vauxhall company
versus Lambeth company
 Estimates frequency of cholera death over household number. Households split
into two cohorts depending on water supply company
 Discovered households that had water supplied by Southwark and Vauxhall
company were x14 fatal (attack rate x5.8 greater)than households water
supplied by Lambeth; reason to that is because Lambeth company changed the
water collection site from Hungerford Market upstream to Thames Ditton (less
contaminated water supply), whereas S.V company supplied sewage-
contaminated water from the Thames.
 Proportion of cholera death/household: per 10000 houses
Southwark and Vauxhall = 71 death
Lambeth = 5 death

Role of investigator in natural experiment
 Creativity and insight required
Ex) identified a precise setting to conduct the study: selected a neighbourhood where
both water supply companies’ pipes intermingled, which enabled Snow to identify
patterns.

Experiment = a study in which the incidence rate or the risk of disease in two or more
cohorts is compared after assigning the exposure to the people who constitute the
cohorts

Protocol = a set of rules by which the study is conducted
Types of epidemiological experiment: clinical trials, field trials, community intervention
trials

Randomization = produce comparability between the cohorts with respect to factors
that may affect the outcome under study

Field trial = aim to study the primary prevention of a disease rather than treatment of
an existing disease (ex. Vaccine trials – study participants are not patients)

Clinical trial



1. Cohort Studies
o A cohort is a defined group of individuals followed over time to observe
disease occurrence.
o Cohort studies compare disease rates
between exposed and unexposed groups.
o Closed cohorts (fixed membership) and open cohorts (dynamic
populations) are discussed.
o The classic example of a cohort study is John Snow’s natural experiment
on cholera transmission.

2. Case-Control Studies
o These studies compare individuals with a disease (cases) to those without
it (controls) to assess past exposure.
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