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Principles of Surveillance: Jonathan Samet, MD, MS
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© 2007 Johns Hopkins Bloomberg School of Public Health
Principles of Surveillance
Jonathan Samet, MD, MSJohns Hopkins Bloomberg School of Public Health
2© 2007 Johns Hopkins Bloomberg School of Public Health
Learning Objectives
Define the basic terms related to surveillance
Specify characteristics of surveillance systems for differentobjectives
Describe selected major surveillance systems
Principles of Surveillance: Jonathan Samet, MD, MS
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3© 2007 Johns Hopkins Bloomberg School of Public Health
Uses of Morbidity and Mortality Data
1. Hypothesis generation
2. Health planning
3. Program evaluation
4. Surveillance
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Surveillance
“Ongoing, systematic collection, analysis, and interpretationof health-related data essential to the planning,implementation, and evaluation of public health practice,closely integrated with the timely dissemination of these datato those responsible for prevention and control.”
— U.S. Centers for Disease Control and Prevention
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Information Loop of Public Health Surveillance
Source: adapted by CTLT from http://www.cdc.gov/epo/dphsi/phs/overview.htm
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Immediate Detection of . . .
Epidemics− Established agents− Emerging agents
Newly emerging health problems
Changes in health practices
Changes in antibiotic resistance
Chemical and biological terrorism
Source: Thacker and Stroup. (1994).
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Periodic Dissemination for . . .
Estimating the magnitude ofthe health problem, includingcosts
Assessing control activities
Setting research priorities
Testing hypotheses
Facilitating planning
Monitoring risk factors
Monitoring changes in healthpractices
Source: Thacker and Stroup. (1994).
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Source: Thacker and Stroup. (1994).
Archival Information for . . .
Describing the natural history of disease
Facilitating epidemiologic and laboratory research
Validating the use of preliminary data
Setting research priorities
Documenting distribution and spread
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Langmuir on Surveillance
“Surveillance, when applied to a disease, means thecontinued watchfulness over the distribution and trends ofincidence through the systematic collection, consolidation,and evaluation of morbidity and mortality reports and otherrelevant data.”
— Alexander Langmuir
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From Vector to Agent to Disease: Surveillance Points
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Points for Surveillance Example: Tobacco
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Modeling a Surveillance System
Source: Teutsch and Churchill. (2000).
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Surveillance Systems: Some Characteristics
Geographic scale: local to global
Event identification: active or passive
Scope: all or sentinel events
Focus on monitoring: vector → agent → outcome
Purpose: tracking or alarm
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Modeling a Surveillance System
Source: Teutsch and Churchill. (2000).
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Occurrence of an Event: Kind of Event
What kind of an event?− Exposure
Exposure to air pollution, bio-monitoring− Disease
Communicable diseases, chronic diseases, syndromes− Injuries
Motor vehicle accidents, homicide− Health risk factors
Obesity− Health behaviors
Smoking, sexual behavior, substance use
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What do you want to do a surveillance of?− Exposure
Agents Biomarkers
− Exposure determinants Behaviors Risk factors Vectors Host characteristics Reservoirs
− Health outcomes Disease Death Medical care
Occurrence of an Event: Surveillance of What?
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WHO Global Tobacco Surveillance
World Health Survey− Household survey of adults (18+) conducted in 70 countries in
2002–2003
STEPwise Approach to Surveillance (STEPS)− Modular survey of chronic disease risk factors
Global Youth Tobacco Survey− School-based survey− Global Adult Tobacco Survey (planned)
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Occurrence of an Event: What Type of System?
What type of system would work best?− Universal: population tracking
Choose entire population or a representative sample tomonitor for condition of interest (measles, obesity,bioterrorism agents)
− Sentinel: “warning” signs Choose key “location” to monitor for condition of
interest (e.g., unusual disease) “Locations” might include sites, events, providers,
animals, vectors Choose a “location” that is most susceptible to change
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Capturing an Event: Approaches
Active− Periodic solicitation of case reports from reporting sources,
such as physicians, hospitals, laboratories, etc.
Passive− Relies on health care providers to report on their own
initiative− Must make this reporting process simple and time efficient
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Active−Advantages
Can be very sensitive Can collect more
detailed information May be more
representative−Disadvantages
Costly Labor intensive Difficult to sustain
over time
Active vs. Passive: Advantages and Disadvantages
Passive−Advantages
Less costly Eager to design and
carry out Useful for monitoring
trends over time−Disadvantages
Low sensitivity Amount of data
available is limited May not be
representative
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Active: SEER Cancer Registry
Source: http://seer.cancer.gov
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Passive: CDC Notifiable Diseases
Provisional Cases of Selected Notifiable Diseases, United States,Week Ending July 16, 2005*
Source: U.S. Centers for Disease Control. (2005).
* Incidence data for reporting year 2005 is provisional
ChlamydiaAIDSReporting Area
Cum. 2004Cum. 2005Cum. 2004Cum. 2005
9,89110,433374386South Carolina
15,19817,485333531North Carolina
1,4931,3503036West Virginia
11,73210,550329307Virginia
1,9101,970355467District of Columbia
10,0099,692686812Maryland
1,5141,72980100Delaware
91,83090,6876,0226,473South Atlantic
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Modeling a Surveillance System
Source: Teutsch and Churchill. (2000).
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Processing and Analyzing the Event
How do you detect a signal?
Data capture/editing/management
Analytical approaches
Statistical approaches
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Examine the Event by Person, Place, and Time
By person: demographics, lifestyle, risk factors
By place: GIS mapping
By time: epidemic curve, time series analysis
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By Place: GIS Mapping
GIS: geographic information systems− GIS links location to information (such as people to addresses,
buildings to parcels, or streets within a network) and layersthat information to give you a better understanding of how itall interrelates
− You choose what layers to combine based on your purpose
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Image source: adapted by CTLT from U.S. Centers for Disease Control and Prevention. (2005).
By Time: Time Series
Time series analysis accounts for the fact that data points takenover time may have an internal structure (such as trend orseasonal variation) that should be accounted for
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By Person: Demographics
Age
Race/ethnicity
Occupation
Socioeconomic status
Sex
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By Place
Small areas
Governmental units
Nations
Unit chosen to examine is determined by the availability of dataon particular geographic scales
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Source: U.S. National Cancer Institute. (1999).
Cancer Mortality Rates, by State
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Heart Disease Death Rates: 1991–1995
Source: U.S. Centers for Disease Control and Prevention.
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Male Lung Cancer Incidence Rate per 100,000
Source: adapted by CTLT from GLOBOCAN. (2002). IARC.
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Female Lung Cancer Incidence Rate per 100,000
Source: adapted by CTLT from GLOBOCAN. (2002). IARC.
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Modeling a Surveillance System
Source: Teutsch and Churchill. (2000).
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Disseminating the Information
Process information for your audience− Broadcast faxes, email, mailings to dissemination lists
Locally, to clinicians Regionally, to health departments
− Web sites− Journal articles− Media
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Tobacco Use Information Systems
Global InfoBase− Data repository for chronic
disease risk factorprevalence, includingtobacco use
− Summarized inSurveillance of Risk FactorsReport (SuRF)
Global Information System onTobacco Control (GISTOC)− Provides links to tobacco-
related databases
Image source: World Health Organization. (2003 and 2005).
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World Health Organization: The SuRF Report
Source: The World Health Organization.
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Modeling a Surveillance System
Source: Teutsch and Churchill. (2000).
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Model for State-Based Chronic Disease Surveillance
Response
Hypothesis generation
Health planning
Program evaluation
Source: Remington and Goodman. (1999).
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Summary
Surveillance takeaways− Ongoing collection− Systematic according to a plan− Results given to those who need to know them− Resulting action is based in evidence gained in the
surveillance system