A new methodology to extrapolate disease freedom to an area using surveillance results from selected aquatic population

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dc.contributor.author
Nérette, Pascale
Brown, Emily
Gautam, Raju
Paré, Julie
Wagener, Annie
dc.date.accepted
2023-09-22
dc.date.accessioned
2024-08-20T14:21:00Z
dc.date.available
2024-08-20T14:21:00Z
dc.date.issued
2023-09-26
dc.date.submitted
2022-10-14
dc.description.abstract - en
According to Chapter 1.4 of the World Organisation for Animal Health (WOAH) Aquatic Animal Health Code, an entire country or zone can be classified as free of a disease only if there is compelling evidence that all susceptible populations within the country or zone are free. However, the methods for achieving freedom are not prescribed in the WOAH standards and guidelines. Within this context, this paper describes a novel methodology to determine if surveillance results can be extrapolated from a study population to a target population. A framework of six criteria was developed to standardize a method for extrapolating surveillance results to other susceptible populations that have not been sampled. Criteria 1 assesses the internal validity for the freedom claim on the source population. Criteria 2 assesses which other susceptible populations have a non-negligible probability of exposure. Criteria 3 assesses whether the risk of infection upon exposure of the source population is the same or greater than each of the other susceptible populations. Finally, Criteria 4, 5 and 6 assess if the other susceptible populations would transmit the infection to the source population or if they have the same exposure pathways as the source population. We illustrate the use of this novel methodology using two hypothetical case scenarios. The presented methodology has the advantage of being applicable either retrospectively or prospectively. When applied retrospectively, it can be used to assess if the surveillance results of the source population can be extrapolated to the target population. When applied prospectively it can be used to design a more efficient surveillance system by selecting source populations from which it is easier to extrapolate surveillance results to the rest of the target population. Conclusions drawn using this methodology depend on the validity of the assumptions made when working through the methodology. We therefore recommend cautious application of the criteria and thorough review of all assumptions.
dc.identifier.citation
Nérette, P., Brown, E., Gautam, R., Paré, J., & Wagener, A. (2023). A new methodology to extrapolate disease freedom to an area using surveillance results from selected aquatic populations. Preventive Veterinary Medicine, 220, 106029. https://doi.org/10.1016/j.prevetmed.2023.106029
dc.identifier.doi
https://doi.org/10.1016/j.prevetmed.2023.106029
dc.identifier.issn
1873-1716
dc.identifier.uri
https://open-science.canada.ca/handle/123456789/2862
dc.language.iso
en
dc.publisher
Elsevier B.V.
dc.rights - en
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.rights - fr
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.rights.openaccesslevel - en
Gold
dc.rights.openaccesslevel - fr
Or
dc.rights.uri - en
https://creativecommons.org/licenses/by/4.0/
dc.rights.uri - fr
https://creativecommons.org/licenses/by/4.0/deed.fr
dc.subject - en
Health and safety
dc.subject - fr
Santé et sécurité
dc.subject.en - en
Health and safety
dc.subject.fr - fr
Santé et sécurité
dc.title - en
A new methodology to extrapolate disease freedom to an area using surveillance results from selected aquatic population
dc.type - en
Article
dc.type - fr
Article
local.acceptedmanuscript.articlenum
106029
local.article.journaltitle
Preventive Veterinary Medicine
local.article.journalvolume
220
local.peerreview - en
Yes
local.peerreview - fr
Oui
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