Polymerase chain reaction (PCR) and cycle threshold (Ct) values in COVID-19 testing

Most tests that detect the ribonucleic acid (RNA) or genetic fingerprint of the virus that causes COVID-19 (e.g., a polymerase chain reaction, or PCR test) use a process where specific bits of the genetic fingerprint are amplified using a temperature cycling reaction that repeats up to 45 times. These are called amplification cycles. The more RNA that is present in the patient sample, the fewer cycles are required for the signal to reach the detection threshold (low Ct value). The Ct value is the cut-off that calls a test positive. This is defined by the manufacturer of the test or the laboratory during the validation process.

Datasets available for download

Additional Info

Field Value
Last Updated October 22, 2024, 17:37 (UTC)
Created October 1, 2024, 08:29 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
Dataset Size
Dataset size in megabytes.
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
Published Date
Published date of the dataset.
2021-06-10
Time Period Data Span (start date)
Start date of the data in the dataset.
Time Period Data Span (end date)
End date of time data in the dataset.
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
Limits on use
Limits on use of data.
Location
Location of the dataset.
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
Public Health Agency of Canada | Agence de la santé publique du Canada
Contact Point
Who to contact regarding access?
Publisher
Publisher of the dataset.
Publisher Email
Email of the publisher.
open-ouvert@tbs-sct.gc.ca
Accessed At
Date the data and metadata was accessed.
Field Value
Identifier
Unique identifier for the dataset.
Language
Language(s) of the dataset
Link to dataset description
A URL to an external document describing the dataset.
Persistent Identifier
Data is identified by a persistent identifier.
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
Contains data about individuals
Does the data hold data about individuals?
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
Contains Indigenous Data
Does the data hold data about Indigenous communities?
Field Value
Source
Source of the dataset.
https://open.canada.ca/data/en/dataset/82431aaa-f894-47b5-a58d-227e4747eda6
Version notes
Version notes about the dataset.
Is version of another dataset
Link to dataset that it is a version of.
Other versions
Link to datasets that are versions of it.
Provenance Text
Provenance Text of the data.
Provenance URL
Provenance URL of the data.
Temporal resolution
Describes how granular the date/time data in the dataset is.
GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
Field Value
Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
Community Permission
Community permission (who gave permission).
The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
Field Value
Number of data rows
If tabular dataset, total number of rows.
Number of data columns
If tabular dataset, total number of unique columns.
Number of data cells
If tabular dataset, total number of cells with data.
Number of data relations
If RDF dataset, total number of triples.
Number of entities
If RDF dataset, total number of entities.
Number of data properties
If RDF dataset, total number of unique properties used by the triples.
Data quality
Describes the quality of the data in the dataset.
Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.

0 Comments

Please login or register to comment.