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Principles of Surveillance
Lazareto de Mahón, Menorca, Spain
11 October 2011
Katharina Alpers (2009), Martin Donaghy (2008), Susan Hahné (2007, 2006),
Suzanne Cotter (2005), Denise Werker (2004)
Content
aim of lecture
surveillance: context, definitions and history
aims of surveillance
the process
surveillance versus research
steps in setting up surveillance
criteria for undertaking surveillance
challenges & opportunities
summary
After the lecture, you should be able to…Define: surveillance its three main componentsDescribe: the contexts / historical perspective of surveillance possible aims criteria for undertaking surveillance the difference between surveillance and research the different steps in setting up surveillance some challenges and opportunities
Aim
Intervention Epidemiology
Surveillance Outbreak investigation Applied epidemiological research
Surveillance in EPIET Introductory Course
Lectures Principles of surveillance Event-based surveillance Analytical tools in surveillance Evaluation of a surveillance system H1N1 surveillance in Europe
Case studies Implementation of H1N1 surveillance Surveillance data analysis Evaluation of surveillance systems
The Concise Oxford Dictionary
n. Close observation, especially of a suspected spy or criminal
ORIGIN French, from sur- 'over' + veiller 'watch'
Source: The Concise Oxford Dictionary. Ed. Pearsall J. Oxford University Press, 2001.
s 've l( )ns
Tools for Control of Communicable Diseases isolation treatment vaccination prophylaxis disinfection quarantine surveillance
‘Close observation of individuals suspected of incubating serious infectious diseases in order to detect initial symptoms of disease in time to institute treatment and isolation’
William Farr (1807 – 1883) Superintendent of statistical department,
General Register Office, England and Wales Collected, analysed, interpreted vital statistics Described epidemics of infectious diseases Drew conclusions, made recommendations Disseminated information
First use of data for Public Health Action
“Continued watchfulness
over the distribution and trends of incidence,
through
the systematic collection, consolidation and evaluation
of morbidity and mortality reports and other relevant data
together with the timely and regular dissemination
to those who need to know”
Definition by Alexander Langmuir (1910 – 1993)
Systematic collection of pertinent data Orderly consolidation and evaluation of these
data Prompt dissemination of the results to those who
need to know
21st World Health Assembly (1968)
"Information for action"
Assess public health status (monitor trends, detect outbreaks)
- prevent and control disease
Define public health priorities
- plan considering impact of hazard, exposure, disease
Evaluate public health programmes
- take decisions regarding interventions
Stimulate or inform research
- generate hypotheses, inform methodologie
Aims of Surveillance
manage contacts of a case detect outbreaks early warning design/change vaccination policy design policy re antimicrobial resistance evaluate interventions to improve them certify elimination / eradication
Examples for Interventions
Health Care System Public Health Authority
Event Data
InformationIntervention
Reporting
Capture
Analysis & Interpretation
Real world! … expected changes
Dissemination
Surveillance is a cyclical process
Surveillance versus ResearchSurveillance Applies existing knowledge to guide health
authorities in the use of known control measures Directly relevant to monitoring and control needs
Research Pursues new knowledge from which better
control measures will result Systematic investigation, testing and evaluation,
designed to develop or contribute to knowledge
What we have seen so far
Contexts of surveillance Historical perspective Definitions Aims Three main components Surveillance versus research
1. Understand the problem
2. Identify opportunities for prevention & control
- interventions
- target audience
3. Set objectives
4. Specify attributes to meet objectives
5. Design- case definitions & indicators
- data needed
- data sources
- data transfer
Steps in setting up surveillance (1)
6. Translate information into action
- analyse
- interpret
- disseminate
7. Evaluate surveillance system
Steps in setting up surveillance (2)
burden of disease (incidence / prevalence) severity, mortality epidemic potential, threat costs, socio-economic impact preventability / opportunities for control intervention programme in place public concern and news-worthiness
Feasibility costs availability of data
1. Understand the problem- Criteria for priority setting
Public Health importance
Infection
Disease
DeathDisability
Recovery
Source infection
Transmission
Reservoir
3. Treatment
2. Prophylaxis
6. eg. hygiene precautions, vector control
5. Ecological Management
Exposure
1. Vaccination
2. Opportunities for intervention
4. Isolation/ treatment
Public Health professionals Government / Politicians Clinicians / Microbiologists / Control of Infection
staff Environmental Health professionals Health service managers Health educators / teachers NGOs Public
3. Target audiences
Specific Measurable Acceptable and Action oriented Realistic Time related
3. Set objectives
SMART
3. Set objectives - examples
Vague... To estimate the prevalence of hepatitis C To detect outbreaks of measles
Specific, measurable, action-oriented & timed To assess the prevalence of hepatitis C in
France in order to allow planning of specific health care needs for the coming 20 years
To detect early time and place clustering of measles cases in order to ensure timely control of outbreaks
4. Attributes of the system
Timeliness Sensitivity Specificity Completeness of information Representativeness Acceptability
Keep it as simple as possible!!
Sentinel vs. comprehensive Aggregated vs. individual data Active vs. passive Statutory vs. voluntary Confidential vs. anonymous Basic vs enhanced Indicator based versus event based Security
5. Design – options
5. Design – examples of data needed
Numerators
- number of cases
- number of resistant strains
Denominators
- population under surveillance
- live births (CRS)
- bacterial isolates (AMR)
5. Design – case definitions
Exposed
Clinical specimen
Symptoms
Lab confirmed
Infected
Seek medical attention
Report
Case Definition
-Confirmed – Positive laboratory result
-Probable – Clinical + epidemiological link to confirmed case
-Possible - Clinical symptoms and signs
Demographics
-Person, place and time
Risk Factors
-Exposures
-Behaviours
Administrative
-Time reported
-Source
5. Design – data set
5. Design – issues
cost
representativeness
comparability
confidentiality
acceptability
data quality
timeliness
commercial sensitivity
5. Design – data sources: health services
– Laboratories: frontline diagnostic, reference– Clinical services: physicians,
hospital discharge data, disease registries– Screening programmes
(antenatal, blood donors)– vaccination programmes– pharmacy / over the counter drugs
5. Design – other data sources
Veterinary– animals (domestic, wild)– food
Environment– water– food– air
Population statistics– deaths– denominators
5. Design – data transfer
Existing infrastructure
Methods
– Paper
– Telephone
– Electronic
– Web-based
Frequency
Zero reporting
Analysis– descriptive (time, place, person)– analytical– time series– outbreak detection – molecular epidemiology – geographical information
systems (GIS) Interpretation
– system and data characteristics and changes– chance, bias, truth– Public health significance
6. Information for Action (1)
Dissemination of information– develop outputs in consultation with users– Who needs to know what?– timing– appropriate level of detail– regular review of usefulness– avoid information overload
6. Information for Action (2)
6. Dissemination of information
Alerts-National and local -Europe: EWRS -International: IHR
Reports -Bulletins -Annual statements-Scientific journals
Internet Public
-media
Does the system do what it set out to do?
i.e. meet specified objectives:
Contribute to achieving public health goals?
Meet the needs of stakeholders to improve policy, services, public understanding?
7. Evaluation of surveillance system
Surveillance or research needed? Reliability
– crude and inaccurate
– incomplete
– accurate denominators Sustainability
– victim of success of control New threats
– emerging infections
– bioterrorism Timeliness Human Rights / data protection
Challenges
Near patient testing Less invasive diagnostics (oral fluid, urine) New molecular typing methods Electronic patient records ‘New’ data sources Behavioural surveillance Syndromic surveillance On-line, web-based systems
– data entry– dissemination of information
´New´ analysis methods– GIS– bio-informatics– modelling
Opportunities
Context– communicable disease control– epidemiology
Definition– systematic collection of data– information for action
Aims Process with 3 components
– capture– analysis– dissemination
Difference between surveillance and research Criteria and steps to set up surveillance system
– public health importance– feasibility– information for action
Challenges and opportunities
Summary