Supporting Information:
The documentation of responsible parties need not follow this format, but the individuals or
groups responsible for these functions must be identified. The responsible parties should be
engaged in the surveillance planning process to provide input regarding their expected role.
Class Guidelines
Users of surveillance
system information
(stakeholders)
Are those who are:
Policymakers
Information
users
Beneficiaries of the surveillance information
Data
providers
Responsible parties
for designing,
implementing,
managing, and
disseminating
information
Are the groups of individuals responsible for various aspects of the
surveillance system, including:
Surveillance
system
design
Surveillance system implementation
and leadership
Data application design, development, and implementation
Data application support and maintenance
Data collection, including field data collection and laboratory
data management
Field data collection
Laboratory
testing
Who
detects cases
Who
confirms
cases
Who reports cases
Field training of data collectors, data entry personnel, etc.
See Chapter 3
Data analysis and interpretation
Results dissemination and reporting
Actions based on surveillance findings
Review of surveillance system effectiveness
Stakeholders and responsible parties should be provided with appropriate information so they
understand the expected outcomes of the surveillance system.
The IT team should be identified early in the surveillance planning process. This team identifies
and articulates (1) business processes needed to capture inputs and produce appropriate
outputs, (2) business rules for data collection, and (3) the risks, constraints, and assets of the
data system.
1.6 Population Description and Characteristics
Standard:
The population under surveillance is well defined in system planning documents
and in system reports and publications. The population description inherently
describes the scope or reach of the system (i.e., National, State, regional, local,
and neighborhood.)
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Supporting Information:
Depending on the structure of the system, at least two populations need to be described for
most surveillance systems. The target population is the universe of eligible units at risk of the
condition under surveillance, which gives rise to sampled units or cases. If the target
population is sampled, then the study population should be described. The study population is
the universe of sampled units that are investigated or counted in the surveillance system. If
the target population is not sampled, then the catchment area of the population from which the
reported cases come should be described.
The description of the population should include total size, animal type, administrative units,
date(s) of surveillance, sampling design, and known risk factors. The following table provides
more definition to these classes of a complete population description. See Chapter 2, data
standards.
Class Guidelines
Sampling units
Should be identified and clearly defined. These may be simple
units (individuals) or aggregates (herds or flocks).
Geographic or spatial measures should be included, e.g., flocks
per sq. km.
Time constraints, if present, are included in description of the
sampling unit.
Target population
(not to be
confused with
targeted
population)
Population about which statistical inference will be made (general
population at-risk) should be identified and clearly defined or
estimated.
If different from study population, the rationale for inference
should be provided.
Size of target population, e.g., number of herds by State, total
number of animals by county, or population by Zip Code. (Note:
Some NASS data are currently available at the Zip Code level.)
Study population
The population from which the sample is to be drawn should be
identified and clearly defined. In most cases, should be same as
target population.
Size of study population, (e.g., number of herds by State; total
number of animals by county.)
The sample frame (list of units to be sampled) from the study
population should be identified.
Targeted
population
The population defined by specific disease variables inherent to
the disease in question, (e.g., cattle with “high risk” clinical signs
compatible with BSE.)
The targeted population is intended to create intentional and
predictable bias in the sample frame.
If inference is made to the target (general) population of interest,
a detailed explanation of the biological justification for the
inference must be included.
Administrative
units
Define and include which units are included in the surveillance
system , (e.g., States, regions, zones, counties, Zip Code areas,
statistical reporting units, sample grid references, neighborhoods,
and parcels.)
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