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I is for Investigation

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Title: I is for Investigation


1
I is for Investigation
Outbreak Investigation Methods from Mystery to
Mastery
2
Session II
  • Study Design

3
Session Overview
  • Developing and testing hypotheses
  • Study designs
  • Cohort studies
  • Case-control studies
  • Sampling

4
Learning Objectives
  • Understand how to develop and test a hypothesis
    about an exposure and an outcome
  • Describe the design of cohort studies and case
    control studies
  • Learn how to assess which study design to apply
    during an outbreak investigation
  • Explain the rationale and options for sampling in
    an outbreak investigation

5
Basic Steps of an Outbreak Investigation
  • Verify the diagnosis and confirm the outbreak
  • Define a case and conduct case finding
  • Tabulate and orient data time, place, person
  • Take immediate control measures
  • Formulate and test hypotheses
  • Plan and execute studies
  • Implement and evaluate control measures
  • Communicate findings

6
Developing and Testing Hypotheses
  • Analytic Epidemiology

7
Studies Assess Exposures and Outcomes
  • Exposures refer to factors that might influence
    ones risk of disease
  • Examples
  • Smoking
  • Eating at a particular restaurant
  • Outcomes refer to case definitions
  • Individuals who have the specified
    disease/condition of interest
  • Examples
  • Small cell carcinoma
  • Laboratory diagnosis of Campylobacter

8
What is an Epidemiologic Hypothesis?
  • An educated guess about an association between an
    exposure and an outcome that is testable in a
    scientific investigation
  • Data from descriptive epidemiology provide
    information to develop hypotheses
  • Hypotheses tend to be broad initially and are
    then refined to have a narrower focus

9
Example
  • Broad hypothesis People who ate at the church
    picnic were more likely to become ill
  • Exposure is eating at the church picnic
  • Outcome is illness - diarrhea and fever, where
    diarrhea is defined as at least 3 soft stools in
    a 24 hour period
  • Narrower hypothesis People who ate the egg salad
    at the church picnic were more likely to have
    laboratory-confirmed Salmonella
  • Exposure is eating egg salad at the church picnic
  • Outcome is laboratory confirmation of Salmonella

10
Analytic Studies
  • Designed to test an epidemiologic hypothesis
  • Is there an association between exposure and
    disease?
  • How strong is the association?
  • Two types used in outbreak investigations
  • Cohort
  • Case-control

11
Study Designs
Cohort studies and Case-control studies
12
Definition of a Cohort
  • In epidemiology,
  • Any designated group of individuals who are
    followed or traced over a period of time.
  • - Last, JM. A Dictionary of Epidemiology, 3rd
    ed. New York Oxford University Press, 1995

13
Cohort Studies
Study Population
Time Present
Exposure is self selected
Exposed
Non-exposed
Follow through time
Disease
No Disease
No Disease
Disease
Future
14
Cohort Study Types
  • A cohort study analyzes an exposure / disease
    relationship within the entire cohort
  • Prospective
  • Identified population is followed forward through
    time
  • The Framingham Study
  • Retrospective
  • Exposure is documented and cohort is followed
    for outcomes that have already occurred
  • Usually used in outbreak investigations

15
Identifying a Cohort
  • Must be straightforward to define
  • Must be at risk for disease
  • Should not be selected so that everyone is
    exposed, or everyone is diseased
  • Study group exposed
  • Comparison group non-exposed

16
When to Use a Cohort Study Design
  • Members of cohort are easily identifiable
  • Members of a cohort are easily accessible
  • Exposure is rare
  • There may be multiple diseases involved

17
Cohort Study Example
  • Recent norovirus outbreaks on cruise ships
  • Attempt to interview all passengers
  • Collect food history information

CDC Vessel Sanitation Program, 2012.
http//www.cdc.gov/nceh/vsp/surv/GIlist.htm
18
Cohort Study Examples
  • Skin disorders among Hurricanes Katrina and Rita
    reconstruction workers
  • Enrolled civilian construction workers living and
    working at a New Orleans military base
  • Noe R, Cohen AL, Lederman E, et al. Skin
    Disorders Among Construction Workers Following
    Hurricane Katrina and Hurricane Rita An Outbreak
    Investigation in New Orleans, Louisiana. Arch
    Dermatol. 2007143(11)1393-1398.
  • Gastroenteritis on a Greek island during a
    religious festival
  • All island residents were enrolled
  • Karagiannis I, Detsis M, Gkolfinopoulou K,
    Pervanidou D, Panagiotopoulos T, Bonovas S.  An
    outbreak of gastroenteritis linked to seafood
    consumption in a remote Northern Aegean island,
    February-March 2010. Rural and Remote Health 10
    1507. (Online) 2010. Available
    http//www.rrh.org.au.

19
Cohort Study Examples
  • Shigellosis among swimmers in a Georgia park
  • Used park registry to identify park visitors
  • Iwamoto M, Hlady G, Jeter M et al. Shigellosis
    among Swimmers in a Freshwater Lake
  • Georgia, 2003. Presented at the 53rd Annual
    Epidemic Intelligence Service Conference.
    Atlanta, GA. April, 2004.
  • Whirlpools and Methicillin-Resistant
    Staphylococcus aureus
  • Occurred on a college football team
  • Begier EM, Barrett FK, Mshar PA et al. Body
    Shaving, Whirlpools, and Football An Out break
    of Methicillin-Resistant Staphylococcus aureus
    Cutaneous Infections in a College Football
    Team-Connecticut, 2003. Presented at the 53rd
    Annual Epidemic Intelligence Service Conference.
    Atlanta, GA. April, 2004.

20
Case-Control Studies
Not Exposed
Not Exposed
Exposed
Exposed
Time Past
Cases
Controls
Study Population
Present
21
When to Use a Case-Control Study
  • When the study population is hard to define
  • When the study population is difficult to contact
  • When the study population is very large
  • When the outcome is rare
  • A case-control study is the alternative to a
    cohort study.

22
Initial Steps in a Case-Control Study
  • Identify the source population
  • The population that the cases came from
  • Similar to the cohort in a cohort study
  • Establish a case definition and select cases
  • A standard set of criteria for determining
    disease status that includes clinical criteria,
    time, place, and person

23
Initial Steps in a Case-Control Study
  • Select controls
  • Controls represent exposure distribution of the
    source population
  • Sources of controls
  • Random sample
  • Friends of case-patients

24
Cohort versus Case-Control
Cohort Study Case-Control Study
Best when Members are easily identifiable Members are easily accessible Exposure is rare There are multiple diseases of interest Source population is not easily defined Accessing entire cohort would be too costly or time consuming Illness is rare
Study Group Exposed persons Persons with illness (cases)
Comparison Group Unexposed persons Persons without illness (controls)
25
Study Design Advantages Disadvantages
Cohort Least prone to selection bias Can reasonably conclude that cause preceded disease Can study several diseases at once Can examine rare exposures Retrospective can be low-cost Prospective can be expensive, time-consuming Prospective can lead to loss to follow up Exposed may be followed more closely than unexposed, yielding invalid conclusions about causality
Case- Control Less expensive and quicker than cohort Can examine the effect of multiple exposures Requires a smaller sample population Inefficient for studying rare exposures Susceptible to selection bias Cannot directly estimate the risk of disease Cannot study several diseases at once
26
Matching in Case-Control Studies
  • Matching attributes are third factors
  • Age, gender, residence
  • Can clarify relationship between exposure and
    outcome
  • Unmatched study design is usually preferred

27
Matching Points to Consider
  • Special analytic techniques required
  • Cannot assess role of matching factor on disease
    status
  • Do not match on a potential exposure
  • Over-matching may result in not representing
    source population

28
Sampling
29
What is sampling?
  • The systematic selection of a portion of the
    larger source population. A sample should be
    representative of the larger source population.

30
Why sample?
  • Because it is more efficient saves time and
    money!

31
Sample Size
  • Is the purpose of the study to determine the
    source of the outbreak?
  • A small number of cases and controls can reveal
    risk factors for infection
  • Is the purpose of the study to determine the
    number of persons who become sick over a specific
    period of time?
  • A cohort study would require a larger sample

32
Types of Sampling
  • Simple random sample (SRS)
  • Randomly select persons to participate in study.
    There are many variations of SRS.
  • Convenience sample
  • Choose those individuals who are easily
    accessible.

33
Problems with Convenience Sampling
  • Based on subjective judgment
  • Cases may or may not be representative of the
    total population
  • May lead to biased results

34
Session II Summary
  • An analytic study is used to test scientific
    hypotheses
  • A case definition with specific criteria is used
    to identify cases from the study population, and
    should not include the study hypothesis
  • Cohort studies provide a direct estimate of the
    risk of disease, whereas case-control studies do
    not

35
Session II Summary
  • Cohort studies may be preferable when you work
    with easily identifiable and accessible study
    populations
  • Case-control studies, when conducted properly,
    can be an efficient alternative to cohort studies
  • Controls should represent the source population,
    and not be matched on the exposure factor if
    matching is used.

36
References and Resources
  • Begier EM, Barrett FK, Mshar PA et al. Body
    Shaving, Whirlpools, and Football An Outbreak of
    Methicillin-Resistant Staphylococcus aureus
    Cutaneous Infections in a College Football
    Team-Connecticut, 2003. Presented at the 53rd
    Annual Epidemic Intelligence Service Conference.
    Atlanta, GA. April, 2004.
  • Centers for Disease Control and Prevention
    (1992). Principles of Epidemiology 2nd Edition.
    Public Health Practice Program Office Atlanta,
    GA.
  • Centers for Disease Control and Prevention
    "Gastroenteritis at a University in Texas"
    http//www.phppo.cdc.gov/phtn/casestudies/classroo
    m/gastro.htm
  • Gordis, L. (2000). Epidemiology 2nd Edition.
    W.B. Saunders Company Philadelphia, PA.
  • Gregg, M.B. (2002). Field Epidemiology 2nd
    Edition. Oxford University Press New York.
  • Hennekens, C.H. and Buring, J.E. (1987).
    Epidemiology in Medicine. Little, Brown and
    Company Boston/Toronto.

37
References and Resources
  • Iwamoto M, Hlady G, Jeter M et al. Shigellosis
    among Swimmers in a Freshwater Lake-Georgia,
    2003. Presented at the 53rd Annual Epidemic
    Intelligence Service Conference. Atlanta, GA.
    April, 2004.
  • Kleinbaum, D., Sullivan, K., and Barker, N.
    (2003). ActivEpi Companion Textbook.
    Springer-Verlag New York.
  • Last, J.M. (2001). A Dictionary of Epidemiology
    4th Edition. Oxford University Press New York.
  • McNeill, A. (January 2002). Measuring the
    Occurrence of Disease Prevalence and Incidence.
    Epid 160 lecture series, UNC Chapel Hill School
    of Public Health, Department of Epidemiology.
  • Morton, R.F, Hebel, J.R., McCarter, R.J. (2001).
    A Study Guide to Epidemiology and Biostatistics
    5th Edition. Aspen Publishers, Inc.
    Gaithersburg, MD.
  • University of North Carolina at Chapel Hill
    Gillings School of Global Public Health, UNC
    Center for Public Health Preparedness, and the NC
    Institute of Public Health. E is for
    Epidemiology. Session 3 Descriptive and Analytic
    Epidemiology 2012. Available from
    http//cphp.sph.unc.edu/trainingpackages/E/index.h
    tm

38
References and Resources
  • University of North Carolina at Chapel Hill
    School of Public Health, Department of
    Epidemiology, and the Epidemiologic Research
    Information Center (June 1999). ERIC Notebook.
    Issue 2. http//cphp.sph.unc.edu/trainingpackages/
    ERIC/issue2.htm
  • University of North Carolina at Chapel Hill
    School of Public Health, Department of
    Epidemiology, and the Epidemiologic Research
    Information Center (July 1999). ERIC Notebook.
    Issue 3. http//cphp.sph.unc.edu/trainingpackages/
    ERIC/issue3.htm
  • University of North Carolina at Chapel Hill
    School of Public Health, Department of
    Epidemiology, and the Epidemiologic Research
    Information Center (September 1999). ERIC
    Notebook. Issue 5. http//cphp.sph.unc.edu/traini
    ngpackages/ERIC/issue5.htm
  • University of North Carolina at Chapel Hill
    School of Public Health, Department of
    Epidemiology (August 2000). Laboratory
    Instructors Guide Analytic Study Designs. Epid
    168 lecture series. http//www.epidemiolog.net/epi
    d168/labs/AnalyticStudExerInstGuid2000.pdf
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