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Article

Sentinel Surveillance Contributes to Tracking Lyme Disease Spatiotemporal Risk Trends in Southern Quebec, Canada

1
Groupe de Recherche en Épidémiologie des Zoonoses et Santé Publique (GREZOSP), Departement of Pathology and Microbiology, Faculty of Veterinary Medicine, University of Montreal, Montreal, QC J2S 2M1, Canada
2
Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
3
Public Health Risk Sciences Divisions, National Microbiology Laboratory, Public Health Agency of Canada, St. Hyacinthe, QC J2S 2M1, Canada
4
Departement of Veterinary Microbiology, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK S7N 5B4, Canada
5
Public Health Directorate (Direction de Santé Publique), Centre Intégré de Santé et de Services Sociaux (CISSS) of Montérégie-Centre, Longueuil, QC J4K 2M3, Canada
6
Department of Biological Risks, Institut National de Santé Publique du Québec (INSPQ), Montreal, QC H2P 1E2, Canada
*
Author to whom correspondence should be addressed.
Academic Editors: Rubén Bueno-Marí, Daniel Bravo-Barriga and Rodrigo Morchón
Pathogens 2022, 11(5), 531; https://doi.org/10.3390/pathogens11050531
Received: 6 April 2022 / Revised: 27 April 2022 / Accepted: 28 April 2022 / Published: 2 May 2022
(This article belongs to the Special Issue Biology, Control and Zoonotic Role of Disease Vectors)
Lyme disease (LD) is a tick-borne disease which has been emerging in temperate areas in North America, Europe, and Asia. In Quebec, Canada, the number of human LD cases is increasing rapidly and thus surveillance of LD risk is a public health priority. In this study, we aimed to evaluate the ability of active sentinel surveillance to track spatiotemporal trends in LD risk. Using drag flannel data from 2015–2019, we calculated density of nymphal ticks (DON), an index of enzootic hazard, across the study region (southern Quebec). A Poisson regression model was used to explore the association between the enzootic hazard and LD risk (annual number of human cases) at the municipal level. Predictions from models were able to track both spatial and interannual variation in risk. Furthermore, a risk map produced by using model predictions closely matched the official risk map published by provincial public health authorities, which requires the use of complex criteria-based risk assessment. Our study shows that active sentinel surveillance in Quebec provides a sustainable system to follow spatiotemporal trends in LD risk. Such a network can support public health authorities in informing the public about LD risk within their region or municipality and this method could be extended to support Lyme disease risk assessment at the national level in Canada. View Full-Text
Keywords: sentinel surveillance; Lyme disease; tick-borne diseases sentinel surveillance; Lyme disease; tick-borne diseases
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MDPI and ACS Style

Guillot, C.; Bouchard, C.; Buhler, K.; Dumas, A.; Milord, F.; Ripoche, M.; Pelletier, R.; Leighton, P.A. Sentinel Surveillance Contributes to Tracking Lyme Disease Spatiotemporal Risk Trends in Southern Quebec, Canada. Pathogens 2022, 11, 531. https://doi.org/10.3390/pathogens11050531

AMA Style

Guillot C, Bouchard C, Buhler K, Dumas A, Milord F, Ripoche M, Pelletier R, Leighton PA. Sentinel Surveillance Contributes to Tracking Lyme Disease Spatiotemporal Risk Trends in Southern Quebec, Canada. Pathogens. 2022; 11(5):531. https://doi.org/10.3390/pathogens11050531

Chicago/Turabian Style

Guillot, Camille, Catherine Bouchard, Kayla Buhler, Ariane Dumas, François Milord, Marion Ripoche, Roxane Pelletier, and Patrick A. Leighton. 2022. "Sentinel Surveillance Contributes to Tracking Lyme Disease Spatiotemporal Risk Trends in Southern Quebec, Canada" Pathogens 11, no. 5: 531. https://doi.org/10.3390/pathogens11050531

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