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Modelling Spatiotemporal Patterns of Lyme Disease Emergence in Québec

Lyme disease is a growing public health problem in Québec. Its emergence over the last decade is caused by environmental and anthropological factors that favour the survival of Ixodes scapularis, the vector of Lyme disease transmission. The objective of this study was to estimate the speed and direc...

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Autores principales: Tutt-Guérette, Marc-Antoine, Yuan, Mengru, Szaroz, Daniel, McKinnon, Britt, Kestens, Yan, Guillot, Camille, Leighton, Patrick, Zinszer, Kate
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8470240/
https://www.ncbi.nlm.nih.gov/pubmed/34574592
http://dx.doi.org/10.3390/ijerph18189669
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author Tutt-Guérette, Marc-Antoine
Yuan, Mengru
Szaroz, Daniel
McKinnon, Britt
Kestens, Yan
Guillot, Camille
Leighton, Patrick
Zinszer, Kate
author_facet Tutt-Guérette, Marc-Antoine
Yuan, Mengru
Szaroz, Daniel
McKinnon, Britt
Kestens, Yan
Guillot, Camille
Leighton, Patrick
Zinszer, Kate
author_sort Tutt-Guérette, Marc-Antoine
collection PubMed
description Lyme disease is a growing public health problem in Québec. Its emergence over the last decade is caused by environmental and anthropological factors that favour the survival of Ixodes scapularis, the vector of Lyme disease transmission. The objective of this study was to estimate the speed and direction of human Lyme disease emergence in Québec and to identify spatiotemporal risk patterns. A surface trend analysis was conducted to estimate the speed and direction of its emergence based upon the first detected case of Lyme disease in each municipality in Québec since 2004. A cluster analysis was also conducted to identify at-risk regions across space and time. These analyses were reproduced for the date of disease onset and date of notification for each case of Lyme disease. It was estimated that Lyme disease is spreading northward in Québec at a speed varying between 18 and 32 km/year according to the date of notification and the date of disease onset, respectively. A significantly high risk of disease was found in seven clusters identified in the south-west of Québec in the sociosanitary regions of Montérégie and Estrie. The results obtained in this study improve our understanding of the spatiotemporal patterns of Lyme disease in Québec, which can be used for proactive, targeted interventions by public and clinical health authorities.
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spelling pubmed-84702402021-09-27 Modelling Spatiotemporal Patterns of Lyme Disease Emergence in Québec Tutt-Guérette, Marc-Antoine Yuan, Mengru Szaroz, Daniel McKinnon, Britt Kestens, Yan Guillot, Camille Leighton, Patrick Zinszer, Kate Int J Environ Res Public Health Article Lyme disease is a growing public health problem in Québec. Its emergence over the last decade is caused by environmental and anthropological factors that favour the survival of Ixodes scapularis, the vector of Lyme disease transmission. The objective of this study was to estimate the speed and direction of human Lyme disease emergence in Québec and to identify spatiotemporal risk patterns. A surface trend analysis was conducted to estimate the speed and direction of its emergence based upon the first detected case of Lyme disease in each municipality in Québec since 2004. A cluster analysis was also conducted to identify at-risk regions across space and time. These analyses were reproduced for the date of disease onset and date of notification for each case of Lyme disease. It was estimated that Lyme disease is spreading northward in Québec at a speed varying between 18 and 32 km/year according to the date of notification and the date of disease onset, respectively. A significantly high risk of disease was found in seven clusters identified in the south-west of Québec in the sociosanitary regions of Montérégie and Estrie. The results obtained in this study improve our understanding of the spatiotemporal patterns of Lyme disease in Québec, which can be used for proactive, targeted interventions by public and clinical health authorities. MDPI 2021-09-14 /pmc/articles/PMC8470240/ /pubmed/34574592 http://dx.doi.org/10.3390/ijerph18189669 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tutt-Guérette, Marc-Antoine
Yuan, Mengru
Szaroz, Daniel
McKinnon, Britt
Kestens, Yan
Guillot, Camille
Leighton, Patrick
Zinszer, Kate
Modelling Spatiotemporal Patterns of Lyme Disease Emergence in Québec
title Modelling Spatiotemporal Patterns of Lyme Disease Emergence in Québec
title_full Modelling Spatiotemporal Patterns of Lyme Disease Emergence in Québec
title_fullStr Modelling Spatiotemporal Patterns of Lyme Disease Emergence in Québec
title_full_unstemmed Modelling Spatiotemporal Patterns of Lyme Disease Emergence in Québec
title_short Modelling Spatiotemporal Patterns of Lyme Disease Emergence in Québec
title_sort modelling spatiotemporal patterns of lyme disease emergence in québec
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8470240/
https://www.ncbi.nlm.nih.gov/pubmed/34574592
http://dx.doi.org/10.3390/ijerph18189669
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