Self-reported tick exposure as an indicator of Lyme disease risk in an endemic region of Quebec, Canada
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 infe...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-01-01
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| Series: | Ticks and Tick-Borne Diseases |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1877959X23001528 |
| _version_ | 1797394871755997184 |
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| author | Natasha Bowser Catherine Bouchard Miguel Sautié Castellanos Geneviève Baron Hélène Carabin Pierre Chuard Patrick Leighton François Milord Lucie Richard Jade Savage Olivia Tardy Cécile Aenishaenslin |
| author_facet | Natasha Bowser Catherine Bouchard Miguel Sautié Castellanos Geneviève Baron Hélène Carabin Pierre Chuard Patrick Leighton François Milord Lucie Richard Jade Savage Olivia Tardy Cécile Aenishaenslin |
| author_sort | Natasha Bowser |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T00:26:03Z |
| format | Article |
| id | doaj.art-253fbac746804464b8de1aa6f91d38c9 |
| institution | Directory Open Access Journal |
| issn | 1877-9603 |
| language | English |
| last_indexed | 2024-03-09T00:26:03Z |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ticks and Tick-Borne Diseases |
| spelling | doaj.art-253fbac746804464b8de1aa6f91d38c92023-12-12T04:34:45ZengElsevierTicks and Tick-Borne Diseases1877-96032024-01-01151102271Self-reported tick exposure as an indicator of Lyme disease risk in an endemic region of Quebec, CanadaNatasha Bowser0Catherine Bouchard1Miguel Sautié Castellanos2Geneviève Baron3Hélène Carabin4Pierre Chuard5Patrick Leighton6François Milord7Lucie Richard8Jade Savage9Olivia Tardy10Cécile Aenishaenslin11Groupe de Recherche en Épidémiologie des Zoonoses et Santé Publique (GREZOSP), Faculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe, Québec, Canada; Centre de Recherche en Santé Publique (CReSP) de l'Université de Montréal et du CIUSSS du Centre-Sud-de-l’Île-de-Montréal, Montréal, Québec, Canada; Département de Pathologie et de Microbiologie, Faculté de Médecine Vétérinaire, Université de Montréal, Canada; Corresponding author at: Pavillon de santé publique vétérinaire, Université de Montréal, 3190 rue Sicotte, Saint-Hyacinthe, Québec J2S 2M1, Canada.Groupe de Recherche en Épidémiologie des Zoonoses et Santé Publique (GREZOSP), Faculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe, Québec, Canada; Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Saint-Hyacinthe, Québec, Canada; Département de Pathologie et de Microbiologie, Faculté de Médecine Vétérinaire, Université de Montréal, CanadaPlateforme IA-Agrosanté, Faculté de Médecine Vétérinaire, Université de Montréal, CanadaDirection de la Santé Publique, CIUSSS de l'Estrie-CHUS, Québec, Canada; Département Des Sciences de la Santé Communautaire, Faculté de Médecine et Des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, CanadaGroupe de Recherche en Épidémiologie des Zoonoses et Santé Publique (GREZOSP), Faculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe, Québec, Canada; Centre de Recherche en Santé Publique (CReSP) de l'Université de Montréal et du CIUSSS du Centre-Sud-de-l’Île-de-Montréal, Montréal, Québec, Canada; Département de Pathologie et de Microbiologie, Faculté de Médecine Vétérinaire, Université de Montréal, Canada; Département de Médecine Sociale et Préventive, École de santé publique de l'Université de Montréal, CanadaDepartment of Geography, Planning and Environment, Concordia University, Montreal, CanadaGroupe de Recherche en Épidémiologie des Zoonoses et Santé Publique (GREZOSP), Faculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe, Québec, Canada; Centre de Recherche en Santé Publique (CReSP) de l'Université de Montréal et du CIUSSS du Centre-Sud-de-l’Île-de-Montréal, Montréal, Québec, Canada; Département de Pathologie et de Microbiologie, Faculté de Médecine Vétérinaire, Université de Montréal, CanadaDépartement Des Sciences de la Santé Communautaire, Faculté de Médecine et Des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Canada; Institut national de santé publique du Québec, Québec, CanadaCentre de Recherche en Santé Publique (CReSP) de l'Université de Montréal et du CIUSSS du Centre-Sud-de-l’Île-de-Montréal, Montréal, Québec, Canada; Faculté des Sciences Infirmières, Université de Montréal, CanadaDepartment of Biology and Biochemistry, Bishop's University, CanadaGroupe de Recherche en Épidémiologie des Zoonoses et Santé Publique (GREZOSP), Faculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe, Québec, Canada; Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Saint-Hyacinthe, Québec, CanadaGroupe de Recherche en Épidémiologie des Zoonoses et Santé Publique (GREZOSP), Faculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe, Québec, Canada; Centre de Recherche en Santé Publique (CReSP) de l'Université de Montréal et du CIUSSS du Centre-Sud-de-l’Île-de-Montréal, Montréal, Québec, Canada; Département de Pathologie et de Microbiologie, Faculté de Médecine Vétérinaire, Université de Montréal, CanadaBackground: 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.http://www.sciencedirect.com/science/article/pii/S1877959X23001528Tick biteTick exposureTick encounterTick-borne diseaseLyme diseaseSurveillance |
| spellingShingle | Natasha Bowser Catherine Bouchard Miguel Sautié Castellanos Geneviève Baron Hélène Carabin Pierre Chuard Patrick Leighton François Milord Lucie Richard Jade Savage Olivia Tardy Cécile Aenishaenslin Self-reported tick exposure as an indicator of Lyme disease risk in an endemic region of Quebec, Canada Ticks and Tick-Borne Diseases Tick bite Tick exposure Tick encounter Tick-borne disease Lyme disease Surveillance |
| title | Self-reported tick exposure as an indicator of Lyme disease risk in an endemic region of Quebec, Canada |
| title_full | Self-reported tick exposure as an indicator of Lyme disease risk in an endemic region of Quebec, Canada |
| title_fullStr | Self-reported tick exposure as an indicator of Lyme disease risk in an endemic region of Quebec, Canada |
| title_full_unstemmed | Self-reported tick exposure as an indicator of Lyme disease risk in an endemic region of Quebec, Canada |
| title_short | Self-reported tick exposure as an indicator of Lyme disease risk in an endemic region of Quebec, Canada |
| title_sort | self reported tick exposure as an indicator of lyme disease risk in an endemic region of quebec canada |
| topic | Tick bite Tick exposure Tick encounter Tick-borne disease Lyme disease Surveillance |
| url | http://www.sciencedirect.com/science/article/pii/S1877959X23001528 |
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