Self-reported tick exposure as an indicator of Lyme disease risk in an endemic region of Quebec, Canada

Simple item page

Simple item page

Full item details

creativework.keywords - en
Tick bite
Tick exposure
Tick encounter
Tick-borne disease
Lyme disease
Surveillance
dc.contributor.author
Bowser, Natasha
Bouchard, Catherine
Sautié Castellanos, Miguel
Baron, Geneviève
Carabin, Hélène
Chuard, Pierre
Leighton, Patrick
Milord, François
Richard, Lucie
Savage, Jade
Tardy, Olivia
Aenishaenslin, Cécile
dc.date.accessioned
2024-03-05T13:51:16Z
dc.date.available
2024-03-05T13:51:16Z
dc.date.issued
2024-01
dc.description - en
Lyme disease (LD) and other tick-borne diseases are emerging across Canada. The primary objective of this research was to explore the associations of self-reported tick exposure, alternative risk indicators, and ecological variables with incidence proportion of LD. A secondary objective was to explore which of these predictor variables were associated with self-reported tick exposure at the census subdivision level (CSD) level. Self-reported tick exposure ranged from 0.0 % to 61.5 % (median 8.9 %) and reported LD incidence rates ranged from 0 to 324 cases per 100,000 person-years, per CSD. A positive association was found between self-reported tick exposure and LD incidence proportion. The best-fit model included public health risk level, followed by predicted tick density, ecological variables, self-reported tick exposure and eTick submissions. Predicted tick density was the only significant predictor of self-reported tick exposure. This proof-of-concept study explores self-reported tick exposure as a potential indicator of LD risk using populational survey data. This approach may offer a low-cost and simple tool for evaluating LD risk and deserves further evaluation.
dc.description.abstract - en
BACKGROUND: Lyme disease (LD) and other tick-borne diseases are emerging across Canada. Spatial and temporal LD risk is typically estimated using acarological surveillance and reported human cases, the former not considering human behavior leading to tick exposure and the latter occurring after infection. OBJECTIVES: The primary objective was to explore, at the census subdivision level (CSD), the associations of self-reported tick exposure, alternative risk indicators (predicted tick density, eTick submissions, public health risk level), and ecological variables (Ixodes scapularis habitat suitability index and cumulative degree days > 0 °C) with incidence proportion of LD. A secondary objective was to explore which of these predictor variables were associated with self-reported tick exposure at the CSD level. METHODS: Self-reported tick exposure was measured in a cross-sectional populational health survey conducted in 2018, among 10,790 respondents living in 116 CSDs of the Estrie region, Quebec, Canada. The number of reported LD cases per CSD in 2018 was obtained from the public health department. Generalized linear mixed-effets models accounting for spatial autocorrelation were built to fulfill the objectives. RESULTS: Self-reported tick exposure ranged from 0.0 % to 61.5 % (median 8.9 %) and reported LD incidence rates ranged from 0 to 324 cases per 100,000 person-years, per CSD. A positive association was found between self-reported tick exposure and LD incidence proportion (ß = 0.08, CI = 0.04,0.11, p < 0.0001). The best-fit model included public health risk level (AIC: 144.2), followed by predicted tick density, ecological variables, self-reported tick exposure and eTick submissions (AIC: 158.4, 158.4, 160.4 and 170.1 respectively). Predicted tick density was the only significant predictor of self-reported tick exposure (ß = 0.83, CI = 0.16,1.50, p = 0.02). DISCUSSION: This proof-of-concept study explores self-reported tick exposure as a potential indicator of LD risk using populational survey data. This approach may offer a low-cost and simple tool for evaluating LD risk and deserves further evaluation.
dc.identifier.doi
https://doi.org/10.1016/j.ttbdis.2023.102271
dc.identifier.issn
1877-9603
dc.identifier.pubmedID
37866213
dc.identifier.uri
https://open-science.canada.ca/handle/123456789/1988
dc.language.iso
en
dc.publisher
Elsevier GmbH
dc.rights - en
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.rights - fr
Creative Commons Attribution - Pas d'utilisation commerciale - Pas de modification 4.0 International (CC BY-NC-ND 4.0)
dc.rights.openaccesslevel - en
Gold
dc.rights.openaccesslevel - fr
Or
dc.rights.uri - en
https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.uri - fr
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.fr
dc.subject - en
Health
dc.subject - fr
Santé
dc.subject.en - en
Health
dc.subject.fr - fr
Santé
dc.title - en
Self-reported tick exposure as an indicator of Lyme disease risk in an endemic region of Quebec, Canada
dc.type - en
Article
dc.type - fr
Article
local.acceptedmanuscript.articlenum
102271
local.article.journalissue
1
local.article.journaltitle
Ticks and Tick-borne Diseases
local.article.journalvolume
15
local.pagination
1-12
local.peerreview - en
Yes
local.peerreview - fr
Oui
Download(s)

Original bundle

Now showing 1 - 1 of 1

Thumbnail image

Name: bowser-self-reported-tick-exposure-as-an-indicator-of-lyme-disease-risk.pdf

Size: 5.28 MB

Format: PDF

Download file

Page details

Date modified: