Evidence map›Paper›PMID 39616408›Full record

ReviewOne health outlook2024

A call for a coherent One Health strategy for the surveillance of climate-sensitive infectious diseases in the Canadian Arctic and subarctic regions.

Laurence Daigle, Charlotte Nury, Léa Delesalle, Carol-Anne Villeneuve, Juliette Colinas, Patrick A Leighton, Hélène Carabin, Kate Zinszer, Sean Hillier, Emily Jenkins and 1 more

Abstract readReview
In one paragraph

Review in One health outlook, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Laurence Daigle *Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe, Québec, Canada. laurence.daigle.1@umontreal.ca.ORCID http://orcid.org/0000-0002-3675-2920
Charlotte Nury *Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe, Québec, Canada.
Léa DelesalleFaculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe, Québec, Canada.
Carol-Anne VilleneuveFaculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe, Québec, Canada.
Juliette ColinasUniversité de Montréal, Montréal, Québec, Canada.
Patrick A LeightonFaculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe, Québec, Canada.
Hélène CarabinFaculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe, Québec, Canada.
Kate ZinszerFaculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe, Québec, Canada.
Sean HillierSchool of Health Policy & Management, York University, Toronto, Ontario, Canada.
Emily JenkinsDepartment of Veterinary Microbiology, Western College of Veterinary Medicine, University of Saskatoon, Saskatoon, Saskatchewan, Canada.
Cécile AenishaenslinFaculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe, Québec, Canada.

Funding

CIHR 167542
6 · The paper itself

Abstract

introductionThe increased burden of climate-sensitive infectious diseases (CSIDs) within the circumpolar region, one of the many impacts of climate change, is impacting human, animal and ecosystem health. An integrated One Health approach to surveillance of CSIDs has been promoted by the scientific community as a prerequisite to enhance preparedness and response. Up to now, little is known about how the One Health approach has been implemented in surveillance systems for CSIDs in the Arctic and surrounding regions.

objectivesThe objectives of this study were to map surveillance activities currently implemented in the Canadian Arctic and subarctic for the 16 CSID identified by the Arctic Council, to describe how One Health has been operationalized in these activities, and to explore the integration and leadership of Indigenous partners in current surveillance systems.

methodWe performed the mapping in three steps: a rapid review of the scientific literature, a review of the grey literature and an online questionnaire sent to key stakeholders involved in CSID surveillance in the Canadian Arctic and subarctic regions. RESULTS AND

conclusionsWe identified 37 scientific peer-reviewed and 58 grey literature records. We mapped (1) surveillance of mandatory notifiable diseases at the federal, provincial or territorial levels not specific to the Arctic and subarctic regions, and (2) non-mandatory surveillance programs specific to the Arctic and subarctic regions. We described programs targeting either a single disease, human populations or wildlife. In most programs, there was no explicit mention of the integration of the One Health approach, and little information was available on collaboration efforts between sectors. Programs involved Indigenous communities at various levels, ranging from very low communication to community members, to high involvement and leadership in program management. Improvement in current CSID surveillance activities in Canada should include enhancing information accessibility, ensuring geographic representation, fostering sustainability in implementation of One Health strategies, and stronger involvement of Indigenous communities in the leadership of surveillance systems. An internationally harmonised approach across the Arctic and subarctic regions for all CSIDs has the potential to unify circumpolar surveillance efforts, save resources, and ultimately better inform public health authorities on the actions to prioritize in the context of climate change.

Indexed as

ArcticCanadaClimate changeClimate-sensitiveInfectious diseaseMonitoringOne healthSurveillance

Identifiers

PMID39616408
PMCPMC11608495

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.