Cargando…

Spatiotemporal trends and socioecological factors associated with Lyme disease in eastern Ontario, Canada from 2010–2017

Currently, there is limited knowledge about socioeconomic, neighbourhood, and local ecological factors that contribute to the growing Lyme disease incidence in the province of Ontario, Canada. In this study, we sought to identify these factors that play an important role at the local scale, where pe...

Descripción completa

Detalles Bibliográficos
Autores principales: Slatculescu, Andreea M., Duguay, Claudia, Ogden, Nicholas H., Sander, Beate, Desjardins, Marc, Cameron, D. William, Kulkarni, Manisha A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006558/
https://www.ncbi.nlm.nih.gov/pubmed/35418084
http://dx.doi.org/10.1186/s12889-022-13167-z
_version_ 1784686691116646400
author Slatculescu, Andreea M.
Duguay, Claudia
Ogden, Nicholas H.
Sander, Beate
Desjardins, Marc
Cameron, D. William
Kulkarni, Manisha A.
author_facet Slatculescu, Andreea M.
Duguay, Claudia
Ogden, Nicholas H.
Sander, Beate
Desjardins, Marc
Cameron, D. William
Kulkarni, Manisha A.
author_sort Slatculescu, Andreea M.
collection PubMed
description Currently, there is limited knowledge about socioeconomic, neighbourhood, and local ecological factors that contribute to the growing Lyme disease incidence in the province of Ontario, Canada. In this study, we sought to identify these factors that play an important role at the local scale, where people are encountering ticks in their communities. We used reported human Lyme disease case data and tick surveillance data submitted by the public from 2010–2017 to analyze trends in tick exposure, spatiotemporal clusters of infection using the spatial scan statistic and Local Moran’s I statistic, and socioecological risk factors for Lyme disease using a multivariable negative binomial regression model. Data were analyzed at the smallest geographic unit, consisting of 400–700 individuals, for which census data are disseminated in Canada. We found significant heterogeneity in tick exposure patterns based on location of residence, with 65.2% of Lyme disease patients from the city of Ottawa reporting tick exposures outside their health unit of residence, compared to 86.1%—98.1% of patients from other, largely rural, health units, reporting peri-domestic exposures. We detected eight spatiotemporal clusters of human Lyme disease incidence in eastern Ontario, overlapping with three clusters of Borrelia burgdorferi-infected ticks. When adjusting for population counts, Lyme disease case counts increased with larger numbers of Borrelia burgdorferi-infected ticks submitted by the public, higher proportion of treed landcover, lower neighbourhood walkability due to fewer intersections, dwellings, and points of interest, as well as with regions of higher residential instability and lower ethnic concentration (Relative Risk [RR] = 1.25, 1.02, 0.67–0.04, 1.34, and 0.57, respectively, p < .0001). Our study shows that there are regional differences in tick exposure patterns in eastern Ontario and that multiple socioecological factors contribute to Lyme disease risk in this region. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13167-z.
format Online
Article
Text
id pubmed-9006558
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-90065582022-04-14 Spatiotemporal trends and socioecological factors associated with Lyme disease in eastern Ontario, Canada from 2010–2017 Slatculescu, Andreea M. Duguay, Claudia Ogden, Nicholas H. Sander, Beate Desjardins, Marc Cameron, D. William Kulkarni, Manisha A. BMC Public Health Research Currently, there is limited knowledge about socioeconomic, neighbourhood, and local ecological factors that contribute to the growing Lyme disease incidence in the province of Ontario, Canada. In this study, we sought to identify these factors that play an important role at the local scale, where people are encountering ticks in their communities. We used reported human Lyme disease case data and tick surveillance data submitted by the public from 2010–2017 to analyze trends in tick exposure, spatiotemporal clusters of infection using the spatial scan statistic and Local Moran’s I statistic, and socioecological risk factors for Lyme disease using a multivariable negative binomial regression model. Data were analyzed at the smallest geographic unit, consisting of 400–700 individuals, for which census data are disseminated in Canada. We found significant heterogeneity in tick exposure patterns based on location of residence, with 65.2% of Lyme disease patients from the city of Ottawa reporting tick exposures outside their health unit of residence, compared to 86.1%—98.1% of patients from other, largely rural, health units, reporting peri-domestic exposures. We detected eight spatiotemporal clusters of human Lyme disease incidence in eastern Ontario, overlapping with three clusters of Borrelia burgdorferi-infected ticks. When adjusting for population counts, Lyme disease case counts increased with larger numbers of Borrelia burgdorferi-infected ticks submitted by the public, higher proportion of treed landcover, lower neighbourhood walkability due to fewer intersections, dwellings, and points of interest, as well as with regions of higher residential instability and lower ethnic concentration (Relative Risk [RR] = 1.25, 1.02, 0.67–0.04, 1.34, and 0.57, respectively, p < .0001). Our study shows that there are regional differences in tick exposure patterns in eastern Ontario and that multiple socioecological factors contribute to Lyme disease risk in this region. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13167-z. BioMed Central 2022-04-13 /pmc/articles/PMC9006558/ /pubmed/35418084 http://dx.doi.org/10.1186/s12889-022-13167-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Slatculescu, Andreea M.
Duguay, Claudia
Ogden, Nicholas H.
Sander, Beate
Desjardins, Marc
Cameron, D. William
Kulkarni, Manisha A.
Spatiotemporal trends and socioecological factors associated with Lyme disease in eastern Ontario, Canada from 2010–2017
title Spatiotemporal trends and socioecological factors associated with Lyme disease in eastern Ontario, Canada from 2010–2017
title_full Spatiotemporal trends and socioecological factors associated with Lyme disease in eastern Ontario, Canada from 2010–2017
title_fullStr Spatiotemporal trends and socioecological factors associated with Lyme disease in eastern Ontario, Canada from 2010–2017
title_full_unstemmed Spatiotemporal trends and socioecological factors associated with Lyme disease in eastern Ontario, Canada from 2010–2017
title_short Spatiotemporal trends and socioecological factors associated with Lyme disease in eastern Ontario, Canada from 2010–2017
title_sort spatiotemporal trends and socioecological factors associated with lyme disease in eastern ontario, canada from 2010–2017
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006558/
https://www.ncbi.nlm.nih.gov/pubmed/35418084
http://dx.doi.org/10.1186/s12889-022-13167-z
work_keys_str_mv AT slatculescuandreeam spatiotemporaltrendsandsocioecologicalfactorsassociatedwithlymediseaseineasternontariocanadafrom20102017
AT duguayclaudia spatiotemporaltrendsandsocioecologicalfactorsassociatedwithlymediseaseineasternontariocanadafrom20102017
AT ogdennicholash spatiotemporaltrendsandsocioecologicalfactorsassociatedwithlymediseaseineasternontariocanadafrom20102017
AT sanderbeate spatiotemporaltrendsandsocioecologicalfactorsassociatedwithlymediseaseineasternontariocanadafrom20102017
AT desjardinsmarc spatiotemporaltrendsandsocioecologicalfactorsassociatedwithlymediseaseineasternontariocanadafrom20102017
AT camerondwilliam spatiotemporaltrendsandsocioecologicalfactorsassociatedwithlymediseaseineasternontariocanadafrom20102017
AT kulkarnimanishaa spatiotemporaltrendsandsocioecologicalfactorsassociatedwithlymediseaseineasternontariocanadafrom20102017