Lec 1 & Tut 1 notes Flashcards

1
Q
  • Define epi
  • focus
A

Epi: the study of distribution, freq, and determinants of health and disease w/in pop, and the application of this K to improve pop health

  • Focus on population
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2
Q
  • descriptive
    • focus
    • method
    • sign of high risk population
    • 3 key characteristics of descriptive epi
    • disparities can help us see 2 things:
  • analytic epi
    • focus
    • methods
    • IOW
A

2 main areas of epi

  • # 1: Descriptive epi
    • Focus: distribution of heath-related states or events in specified pop
    • method: Use available data to examine how rates (eg mortality) vary according to demographic v
    • If the distribution of rates is not uniform according to person, time and place; this indicates a high-risk population
      • Eg: COVID outbreak in community in a specific time frame, people of certain ages and SES are more affected
        • Identify high risk populations
      • Basic triad of descriptive epi: the 3 essential characteristics of disease we look in descriptive epi: Time place person
    • Disparities can
      • Generate causal H
      • Identify gaps in the health system
        • If there are gaps -> need more services
  • # 2: analytic epi
    • Focus on DETERMINANTS of health-related states or events in specified pop
    • Methods: assessment of specific hypotheses on suspected RF w/ health outcomes
      • IOW: understand why certain pop are higher risk
    • Observational vs experimental studies
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3
Q

5 objectives of epi

A

Objectives of epi

  • # 1: study the natural course of disease (from onset to resolution)
  • # 2: measure the extend of disease in a pop
    • IOW: how common is the disease
  • # 3: identify patterns and trends in disease occurrence
    • IOW: is the disease more common or less; more common in certain gps
  • # 4: determine the causes of disease
  • # 5: eval the effectiveness of measures that prevent and treat disease
    • Eg on application
  • Repeat process
  • Why do we do this (reiterative process)? Some interventions are working; when they do not work, we alter it so that it works again
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4
Q
  • descriptive/applied epi
  • analytic/academic epi
  • applied epi; academic
    • practice setting
    • investigative team
    • goals
    • timeline
    • data quality
    • RF investigate
    • Scientific values
    • outputs
    • competence
A

What do epidemiologists do?

  • They work in various facilities
  • Descriptive or applied epi: the timeline is frequent and urgent; focus on public health
  • Academic or analytic epi: done in academic institutions, look into more details
  • X
  • Arguable aspects:
    • We don’t always do biomed, we may look at social determinants of health
    • We work w/ diff disciplines and in teams
  • Table 1: comparison of characteristics applied epi and academic epi
    • Applied epi
      • Practice setting: more governmental
      • Investigative team: Maybe interdisciplinary
      • Goals: Service (eg public health surveillance, responding to outbreaks, improving health)
      • Timeline: urgent
      • Data quality: variable, collected in real-life
      • RF investigated: sociologic, determinants of health
      • Scientific values: urgency, practical, responsive, health impact
      • Outputs: recommendations, product removal, PH action
      • Competences: communication skills, community engagement, analytic
      • Taught: on the job
    • Academic epi
      • Practice setting: school of PH, academic
      • Investigative team: PhD, Maybe interdisciplinary
      • Goals: discovery (etiology, RF, causality, disease modelling)
      • Timeline: not urgent
      • Data quality: high, data collected in controlled circumstances
      • RF investigated: varies
      • Scientific values: analytic rigor; consistency w/ prior studies
      • Outputs: contribute to literature
      • Competencies: strong analytic skills
      • Taught: academic institution
        *
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5
Q
  • 6 PH areas of focus
  • PH health goal
  • define health
  • intervention vs prevention
A

Many different areas of focus

  • Methods
  • Env health
  • PH policy
  • Chronic disease
  • MH
  • Infectious diseases

Public health

  • Goal: promote the health of the population through organized community efforts
    • What do we mean by health?
      • Physical, mental, social wellbeing
      • Not just absence of disease
      • Essential resources of living
    • intervention vs prevention
      • PH: focuses on interventions
        • (eg Laws for seatbelts, helmets, bike lanes, smoking cessation)
      • Clinical: focus on prevention
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6
Q
  • basic science; clinical; PH science
    • study
    • goal
    • example
  • 9 aspects of PH
  • Define upstream
A

Basic, clinical, and PH sciences

  • They work together for the same goals and different parts
  • Basic Science
    • Study: cells, tissues, animals in labs
    • Goals: understand disease mech, and effects of toxic substances
    • Eg: Toxicology, immunology
  • Clinical
    • Study: sick patients who come to healthcare facility
    • Goals: improve diagnosis and treat disease
    • Eg: internal med, pediatrics
  • PH
    • Study: population, communities
    • Goals: prevention of disease, promote health
    • Eg: epi, env science
  • These branches of science are not that distinct
    • Clinical epi
    • Molecular and genetic epi
    • Econ, sociology, psych

Public health: more than just the indiv

  • Aspects include
    • Indiv and pop health
    • Patho-physiologic pathways
    • Genetic/constitutional factors
    • Indiv RF
    • Social relationships (married men visit family MD more than single men)
    • Living conditions
    • Neighborhoods and communities (safer env -> more activity)
    • Institutions
    • Social and econ policies
  • These aspects change, influence eo, and in turn our health
  • Upstream: other factors that impact health beyond indiv ones
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7
Q
  • Epi lv of study
  • Lv of intervention
  • Paradigm
A

Present day epi

  • Motivation: PH and scientific discovery
  • Lv of study: molecular to human pop
  • Lv of intervention: indiv to pop
  • Paradigm: multidisciplinary
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8
Q
  • define population
  • define sample
  • census
  • define healthcare encounter data
  • registries
  • x
  • Define count
  • proportion calculation
  • Ratio
  • How to check the ratio form?
  • Marble analogy for incidence and prevalence
  • x
  • Relationship b/w prevalence and incidence formula
A

Topics throughout this course

Population

  • A gp of ppl w/ a common characteristic
    • Residence
    • Gender
    • Age
    • Life event (birth)
    • Other demographics
    • Disease cohorts
  • Sample = subset of pop

Data

  • Census: (all ppl living in Canada, every 5 years; on age, sex, occupation)
  • Vital stats: all births, deaths, marriages, etc reported to the gov (eg Bills of Mortality)
  • Health care encounter data (eg hospitalizations)
    • Health administrative data collected during routine care
    • Esp good data source in CAN due to universal care
    • ON ICES: global leader in using the data (and link to other pop data)
      • NOTE: in US only collect data for 1 type of insurer
    • Registries: incl ppl w/ specific conditions (eg cancer)
    • Reportable diseases: those of PH importance needs to be reported by MD (eg Polio, Anthrax)

Measure of freq

  • Count: absolute #
  • Proportion:
    • N: subset of denom
    • Ppl with event/ Ppl with event + ppl without
      • IOW: A/(A+B)
    • Expressed in fraction, decimal, or %
  • Ratio: value obtained by dividing one quantity over another
    • Scenario: 100 ppl in class, 50 brown hair
    • IOW: 50% brown hair
    • Proportion: 50/100 or ½
    • Ratio form: for every 1 person w/ brown hair there is 1 person w/o
      • (1:1)
      • NOTE: data is not related
      • The 2 #s should add up to the numerator proportion (i.e. 1+1 = 2)
  • X
  • Analogy
    • Marble = sick person
    • Marble dropped: incidence
    • Marbles in bucket: prevalence

Question

  • 1980s: incidence of HIV declined and prevalence increased
    • Possible explanations
      • Tools to identify more cases
      • Ppl live longer
      • Incidence down, duration of disease increases
  • Why?
  • Prevalence = Incidence x Duration of disease
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9
Q
  • 3 types of incidence measure:
  • Define cumulative incidence
  • 2 other names
  • Calculation
  • x
  • 2 other names for incidence rate
  • calculation
  • What does it address?
  • x
  • define prevalence
  • Calculation
  • rate or proportion?
A

Types of incidence measure

  • # 1: Cumulative incidence (aka risk, incidence proportion)
    • Risk indiv will experience an event or dev a disease during a period of time
    • Cumulative incidence = new cases in given time period/# of ppl at risk x 100
    • 24 infected/25 * 100
  • # 2: Person-time (or year) incidence or incidence density or incidence rate
    • Occurrence of new case of disease that dev in a candidate pop over a specified time period
    • P-t incidence rate = (# of new cases/ person-time of observation in candidate population at risk) x 1000
    • Addresses: Handles loss to follow up, diff times
  • # 3: Prevalence: # of ppl in a population during a specific time frame that have disease of interest
    • Prevalence = # of cases / # of persons in the population
      • Eg 13/15 Iphone users
    • NOTE prevalence is NOT a rate, it is proportion
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