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Criteria for selecting sentinel unit locations in a surveillance system for vector-borne disease

A decision tool

Bibliographic Data

ID22079151
AuthorsCamille Guillot (0000-0002-3106-6841, Université de Sherbrooke, corresponding author), Catherine Bouchard (0000-0002-2606-3603, Public Health Agency of Canada), Cécile Aenishaenslin (0000-0002-8594-4945, Université de Montréal), Philippe Berthiaume (Public Health Agency of Canada), François Milord (Université de Sherbrooke), Patrick A Leighton (0000-0001-5137-8909, Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal)
Year2022
Volume10
Pages1003949-1003949
Publication date2022-11-10
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.1003949
PMID36438246
OpenAlexW4308876849
LanguageEN
Citations received2
References cited118

Objectives: With vector-borne diseases emerging across the globe, precipitated by climate change and other anthropogenic changes, it is critical for public health authorities to have well-designed surveillance strategies in place. Sentinel surveillance has been proposed as a cost-effective approach to surveillance in this context. However, spatial design of sentinel surveillance system has important impacts on surveillance outcomes, and careful selection of sentinel unit locations is therefore an essential component of planning. Methods: A review of the available literature, based on the realist approach, was used to identify key decision issues for sentinel surveillance planning. Outcomes of the review were used to develop a decision tool, which was subsequently validated by experts in the field. Results: The resulting decision tool provides a list of criteria which can be used to select sentinel unit locations. We illustrate its application using the case example of designing a national sentinel surveillance system for Lyme disease in Canada. Conclusions: The decision tool provides researchers and public health authorities with a systematic, evidence-based approach for planning the spatial design of sentinel surveillance systems, taking into account the aims of the surveillance system and disease and/or context-specific considerations

Data mining · Decision support system · Disease surveillance · Geography · Multiple-criteria decision analysis · Operations research · Pathology · Public health · Public health surveillance · Computer Science · Engineering · Malaria Research and Control · Medicine · Mosquito-borne diseases and control · Vector-borne infectious diseases

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Unique citing works2
Citations per year1
Citation span2024 - 2025 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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