Video summary
Introduction to Public Health Surveillance
Main summary
Key takeaways
Main ideas, concepts, and lessons
Public health surveillance is core to public health practice
- Surveillance is described as one of the most important functions of the public health system.
- It drives decisions and directs actions by identifying potential threats early (analogous to the “dog in the night,” i.e., alerting practitioners to danger).
Purpose and goal
- The goal of public health surveillance is to provide information that can be used for public health action.
- The key outcome is action; without follow-up, surveillance data “serves no real purpose.”
Public health problem-solving approach (4 steps)
- What is the problem?
- Identify health problems by monitoring health events/behaviors in the population via surveillance.
- What is the cause?
- Use epidemiology to identify risk factors, including:
- environmental factors
- behavioral factors
- susceptibility differences
- Use epidemiology to identify risk factors, including:
- What intervention works?
- Determine what has worked for similar problems and whether it makes sense for the affected population.
- How can the intervention be implemented?
- Evaluate feasibility given available resources and knowledge of the affected population.
Surveillance definition (and how surveillance differs from research data)
- Surveillance is defined as the ongoing, systematic collection, analysis, and interpretation of health-related data needed for planning, implementation, and evaluation of public health practice, with timely dissemination to those responsible for prevention/control.
Key distinguishing characteristics
- Systematic
- Uses standardized methods/definitions.
- Includes assessing completeness, equality, and timeliness.
- Ongoing
- Continues beyond individual studies.
- Not necessarily continuous in real time, but it is not limited to a single study period.
- Collection
- Decides what/how/from whom data are collected.
- Analysis
- Surveillance analysis is ongoing.
- Research analysis typically occurs after data collection ends.
- Also includes interpretation, dissemination, and linkage to practice.
Uses/roles of surveillance
Surveillance informing action can include:
- Contact tracing and treatment (e.g., sexually transmitted diseases)
- Prophylaxis for exposures (e.g., antibiotics or immunoglobulin depending on the condition)
Surveillance also functions as an alarm system:
- Identify the magnitude and scope of outbreaks
- Target specific groups for intervention
- Track spread of emerging infections (e.g., West Nile)
- Monitor changes such as antimicrobial resistance
Surveillance supports:
- Program effectiveness assessment
- Hypothesis generation and stimulation of research
Knowledge-check themes
- Surveillance can measure trends, estimate magnitude, monitor changes in agents/environment, and assess intervention effectiveness—i.e., “all of the above.”
Legal basis in the United States
- Authority for public health (including surveillance) is described as primarily state-based.
- The federal role exists when disease issues impact:
- interstate commerce (commerce clause), or
- the general welfare of the nation.
State notifiable disease/reporting systems
- Mandated by state law (in some states) or delegated to the State Health Officer.
- Specify:
- list of reportable diseases/conditions
- who must report
- how to report
- when to report
- Common reporters include:
- physicians
- laboratories
- hospitals/clinics
- sometimes school nurses/educators
Typical flow
- Local health department receives report
- Verifies it meets the case definition
- Sends report to state
- State may assist with investigations/control, especially across jurisdictions
Types of surveillance
Passive surveillance
- Most routine notifiable disease surveillance.
- Providers/reporters send reports following state lists of reportable conditions.
- Strengths/limits:
- Simple and inexpensive
- Limited by variability in reporting quality/completeness
Active surveillance
- Health agency proactively contacts/does outreach to stimulate reporting.
- Can:
- validate representativeness of passive systems
- improve completeness
- support focused investigations
- Often time-limited for outbreaks or special interests (e.g., SARS).
- More intensive versions may include staff reviewing records (e.g., emergency rooms).
Sentinel surveillance
- A subset of reporting sites (“sentinels”) report more detailed information/specimens routinely.
- Examples mentioned:
- Chickens in woods for arboviruses (e.g., periodic blood collection to detect infection)
- Cotton pledgets in sewers sampled/tested for enteric pathogens
Syndromic surveillance
- Focuses on signs/symptoms rather than lab-confirmed, physician-diagnosed diseases.
- Case definitions are less specific → follow-up is always needed to confirm whether an outbreak is real.
- Advantages:
- faster reporting (doesn’t wait for diagnosis)
- useful as an early warning system for bioterrorism
- Examples/expanded “loose” uses mentioned:
- school/work absenteeism
- 911 calls
- over-the-counter medication sales (e.g., rise in antidiarrheal sales during the cryptosporidiosis outbreak in Milwaukee)
Attributes of a surveillance system (evaluation criteria)
A system can be evaluated like assessing a “vehicle/home”: understand what it can and can’t do.
Attributes discussed
- Usefulness
- Achieves objectives to the desired extent
- Data quality
- Reliability, completeness/accuracy of fields, and need for training/support
- Timeliness
- How quickly reports arrive (critical for some conditions)
- Flexibility
- Ability to adapt to changes
- Simplicity
- Ease of operation
- Example: too many fields can cause data entry delays; simpler design improves usability
- Stability
- Reliable functioning; not frequently breaking down
- Sensitivity
- Captures intended cases (e.g., 10% vs 80%)
- Positive predictive value (PPV)
- How many reported cases truly meet the case definition
- Representativeness
- Captures events across the target population, not just certain groups
- Example: STI surveillance often underrepresents parts of the population
- Acceptability
- Willingness of users to participate and report
Tradeoff
- Sensitivity vs PPV often have an inverse relationship (increasing sensitivity can reduce PPV), so design depends on goals.
Methodology / process: Public health surveillance process (detailed steps)
At least five steps are emphasized:
-
Data collection
- Decide system goal and specific objectives.
- Determine:
- what to monitor
- what data will be collected
- definitions and data fields
- why each data element is collected and how it will be used
- Decide:
- who collects data and how
- target population and setting
- active vs passive structure
- transmission method (paper/mail/electronic) and timing
- Consider common surveillance data sources (examples mentioned):
- administrative/billing systems
- laboratory surveillance (e.g., PulseNet)
- environmental/vector/animal surveillance
- syndromic indicators (e.g., 911 calls, absenteeism, retail medication sales—mentioned earlier)
- laws/policy information and other relevant systems
-
Data analysis
- Decide:
- who analyzes data
- analytic methods (from simple graphs to stratified analysis and confidence intervals)
- analysis frequency (daily/weekly/monthly depending on purpose)
- Examples given:
- time-based outbreak curves (West Nile example by week)
- mapping patterns (laboratory-confirmed cases as dots; clustering)
- analysis by person (demographics/risk patterns; West Nile hospitalization rates by age/sex)
- Decide:
-
Interpretation
- Link results to person, place, and time (the “epi triad”).
- If case counts rise, explore potential explanations such as:
- increased healthcare access
- changed reporting procedures/surveillance system
- changed case definitions
- increased laboratory testing
- increased provider awareness (“higher index of suspicion”)
-
Dissemination
- Plan distribution to stakeholders who need it:
- newsletters/bulletins/alerts
- annual summaries/reports
- journal articles
- press releases
- social media
- Target audiences mentioned:
- public health practitioners
- clinicians/health care providers
- policymakers/decision makers
- community organizations
- the general public
- Knowledge-check: newspaper articles are generally not a good data source for surveillance (with limited exceptions).
- Plan distribution to stakeholders who need it:
-
Follow-up action (link to action)
- Surveillance must lead to action.
- Provides the bridge from “information” to “control.”
- Pertussis example:
- case decline with vaccination, followed by later resurgence (1980–2000)
- findings implicated adult/child exposure through adults
- led to changing immunization recommendations to include adult boosters to prevent spread to young children
Surveillance-based action: what surveillance findings are used to do (action categories)
- Describe the burden (or potential burden) of disease
- Monitor trends/patterns
- Look at risk factors and agents
- Detect sudden changes in occurrence/distribution
- Provide data for programs, policies, and priorities
- Evaluate prevention/control efforts
Speakers / sources featured
- Ralph Cordell — epidemiologist at the Centers for Disease Control and Prevention (CDC), Atlanta
- CDC (Centers for Disease Control and Prevention) — referenced as an organization; later notes CEU webinar details
- CSTE (Council of State and Territorial Epidemiologists) — co-developer of the national notifiable disease list with CDC
- US Constitution / Bill of Rights (Article 12 context) — used to explain legal authority framework
- World Health Organization (WHO) — referenced for international coordination and examples of internationally reportable conditions
- Bill Fahy — quoted (former CDC director involved in global smallpox eradication)
- PulseNet — referenced as an example of laboratory surveillance
- MMWR (Morbidity and Mortality Weekly Report) — referenced as the weekly and annual publication outlet for notifiable disease data
- Nationally notifiable disease reporting system framework — referenced as the national/state reporting structure (CDC + CSTE collaboration)
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