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Introduction to Public Health Surveillance

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Educational

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)

  1. What is the problem?
    • Identify health problems by monitoring health events/behaviors in the population via surveillance.
  2. What is the cause?
    • Use epidemiology to identify risk factors, including:
      • environmental factors
      • behavioral factors
      • susceptibility differences
  3. What intervention works?
    • Determine what has worked for similar problems and whether it makes sense for the affected population.
  4. 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

  1. Local health department receives report
  2. Verifies it meets the case definition
  3. Sends report to state
  4. 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:

  1. 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
  2. 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)
  3. 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”)
  4. 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).
  5. 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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