Rurality, Socioeconomic Status, and Residence in Environmental Risk Areas Associated with Increased Lyme Disease Incidence in Ontario, Canada: A Case-Control Study

Background: Lyme disease (LD) is the most common tick-borne illness in North America. LD is acquired through exposure to the tick vector, Ixodes scapularis , known as the blacklegged tick. In Canada, LD is rapidly emerging, with the establishment of I. scapularis in many newly endemic regions posing...

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Veröffentlicht in:Vector borne and zoonotic diseases (Larchmont, N.Y.) N.Y.), 2022-12, Vol.22 (12), p.572-581
Hauptverfasser: Slatculescu, Andreea M, Pugliese, Michael, Sander, Beate, Zinszer, Kate, Nelder, Mark P, Russell, Curtis B, Kulkarni, Manisha A
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container_issue 12
container_start_page 572
container_title Vector borne and zoonotic diseases (Larchmont, N.Y.)
container_volume 22
creator Slatculescu, Andreea M
Pugliese, Michael
Sander, Beate
Zinszer, Kate
Nelder, Mark P
Russell, Curtis B
Kulkarni, Manisha A
description Background: Lyme disease (LD) is the most common tick-borne illness in North America. LD is acquired through exposure to the tick vector, Ixodes scapularis , known as the blacklegged tick. In Canada, LD is rapidly emerging, with the establishment of I. scapularis in many newly endemic regions posing a growing risk to local communities. In the Canadian context, many environmental and socioeconomic risk factors for human LD infection are yet to be ascertained and the degree of risk associated with residential and community exposure to ticks is not well known. Methods: We conducted a matched case-control study in southeastern Ontario, using LD patient data from provincial laboratory databases and uninfected population controls from 2014 to 2018. We aimed to identify area-level risk factors for LD and associations with residence in environmental risk areas, defined as areas with high model-predicted probability of I. scapularis occurrence, using the neighborhood dissemination area as the unit of analysis. Results: Using multivariable conditional logistic regression analysis, we identified that patients with LD had higher odds (odds ratio, OR; 95% confidence interval, CI) of living in neighborhoods with high probability of tick occurrence in the environment (OR = 2.2; 95% CI: 2.0–2.5), low walkability (OR = 1.6; 95% CI: 1.2–2.1), low material deprivation (OR = 1.4; 95% CI: 1.2–1.7), and low ethnic concentration (OR = 8.1; 95% CI: 6.7–9.9). We also found that the odds of LD infection for individuals residing in environmental risk areas was highest for those living in public health units (PHUs) with 1,000,000 population (OR = 1.5; 95% CI: 1.1–2.1). Conclusion: This study shows that odds of human LD infection in Ontario, Canada is higher in less urbanized areas with higher socioeconomic status and indicates that exposure to ticks around the home residence or neighborhood is linked to increased odds of LD.
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LD is acquired through exposure to the tick vector, Ixodes scapularis , known as the blacklegged tick. In Canada, LD is rapidly emerging, with the establishment of I. scapularis in many newly endemic regions posing a growing risk to local communities. In the Canadian context, many environmental and socioeconomic risk factors for human LD infection are yet to be ascertained and the degree of risk associated with residential and community exposure to ticks is not well known. Methods: We conducted a matched case-control study in southeastern Ontario, using LD patient data from provincial laboratory databases and uninfected population controls from 2014 to 2018. We aimed to identify area-level risk factors for LD and associations with residence in environmental risk areas, defined as areas with high model-predicted probability of I. scapularis occurrence, using the neighborhood dissemination area as the unit of analysis. Results: Using multivariable conditional logistic regression analysis, we identified that patients with LD had higher odds (odds ratio, OR; 95% confidence interval, CI) of living in neighborhoods with high probability of tick occurrence in the environment (OR = 2.2; 95% CI: 2.0–2.5), low walkability (OR = 1.6; 95% CI: 1.2–2.1), low material deprivation (OR = 1.4; 95% CI: 1.2–1.7), and low ethnic concentration (OR = 8.1; 95% CI: 6.7–9.9). We also found that the odds of LD infection for individuals residing in environmental risk areas was highest for those living in public health units (PHUs) with &lt;250,000 population (OR = 3.0; 95% CI: 2.4–3.9) compared to those living in PHUs with &gt;1,000,000 population (OR = 1.5; 95% CI: 1.1–2.1). Conclusion: This study shows that odds of human LD infection in Ontario, Canada is higher in less urbanized areas with higher socioeconomic status and indicates that exposure to ticks around the home residence or neighborhood is linked to increased odds of LD.</description><identifier>ISSN: 1530-3667</identifier><identifier>EISSN: 1557-7759</identifier><identifier>DOI: 10.1089/vbz.2022.0044</identifier><identifier>PMID: 36378243</identifier><language>eng</language><publisher>United States: Mary Ann Liebert, Inc., publishers</publisher><subject>Animals ; Arachnids ; Case-Control Studies ; Confidence intervals ; Deprivation ; Disease control ; Environmental risk ; Ethnic factors ; Exposure ; Humans ; Infections ; Local communities ; Lyme disease ; Lyme Disease - epidemiology ; Lyme Disease - veterinary ; Neighborhoods ; Ontario - epidemiology ; Original Articles ; Population control ; Public health ; Regression analysis ; Residential communities ; Risk analysis ; Risk factors ; Social Class ; Socioeconomic Factors ; Socioeconomic status ; Socioeconomics ; Statistical analysis ; Ticks ; Vector-borne diseases</subject><ispartof>Vector borne and zoonotic diseases (Larchmont, N.Y.), 2022-12, Vol.22 (12), p.572-581</ispartof><rights>Andreea M. Slatculescu et al. 2022; Published by Mary Ann Liebert, Inc.</rights><rights>Copyright Mary Ann Liebert, Inc. 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LD is acquired through exposure to the tick vector, Ixodes scapularis , known as the blacklegged tick. In Canada, LD is rapidly emerging, with the establishment of I. scapularis in many newly endemic regions posing a growing risk to local communities. In the Canadian context, many environmental and socioeconomic risk factors for human LD infection are yet to be ascertained and the degree of risk associated with residential and community exposure to ticks is not well known. Methods: We conducted a matched case-control study in southeastern Ontario, using LD patient data from provincial laboratory databases and uninfected population controls from 2014 to 2018. We aimed to identify area-level risk factors for LD and associations with residence in environmental risk areas, defined as areas with high model-predicted probability of I. scapularis occurrence, using the neighborhood dissemination area as the unit of analysis. Results: Using multivariable conditional logistic regression analysis, we identified that patients with LD had higher odds (odds ratio, OR; 95% confidence interval, CI) of living in neighborhoods with high probability of tick occurrence in the environment (OR = 2.2; 95% CI: 2.0–2.5), low walkability (OR = 1.6; 95% CI: 1.2–2.1), low material deprivation (OR = 1.4; 95% CI: 1.2–1.7), and low ethnic concentration (OR = 8.1; 95% CI: 6.7–9.9). We also found that the odds of LD infection for individuals residing in environmental risk areas was highest for those living in public health units (PHUs) with &lt;250,000 population (OR = 3.0; 95% CI: 2.4–3.9) compared to those living in PHUs with &gt;1,000,000 population (OR = 1.5; 95% CI: 1.1–2.1). 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LD is acquired through exposure to the tick vector, Ixodes scapularis , known as the blacklegged tick. In Canada, LD is rapidly emerging, with the establishment of I. scapularis in many newly endemic regions posing a growing risk to local communities. In the Canadian context, many environmental and socioeconomic risk factors for human LD infection are yet to be ascertained and the degree of risk associated with residential and community exposure to ticks is not well known. Methods: We conducted a matched case-control study in southeastern Ontario, using LD patient data from provincial laboratory databases and uninfected population controls from 2014 to 2018. We aimed to identify area-level risk factors for LD and associations with residence in environmental risk areas, defined as areas with high model-predicted probability of I. scapularis occurrence, using the neighborhood dissemination area as the unit of analysis. Results: Using multivariable conditional logistic regression analysis, we identified that patients with LD had higher odds (odds ratio, OR; 95% confidence interval, CI) of living in neighborhoods with high probability of tick occurrence in the environment (OR = 2.2; 95% CI: 2.0–2.5), low walkability (OR = 1.6; 95% CI: 1.2–2.1), low material deprivation (OR = 1.4; 95% CI: 1.2–1.7), and low ethnic concentration (OR = 8.1; 95% CI: 6.7–9.9). We also found that the odds of LD infection for individuals residing in environmental risk areas was highest for those living in public health units (PHUs) with &lt;250,000 population (OR = 3.0; 95% CI: 2.4–3.9) compared to those living in PHUs with &gt;1,000,000 population (OR = 1.5; 95% CI: 1.1–2.1). Conclusion: This study shows that odds of human LD infection in Ontario, Canada is higher in less urbanized areas with higher socioeconomic status and indicates that exposure to ticks around the home residence or neighborhood is linked to increased odds of LD.</abstract><cop>United States</cop><pub>Mary Ann Liebert, Inc., publishers</pub><pmid>36378243</pmid><doi>10.1089/vbz.2022.0044</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-5234-2211</orcidid><orcidid>https://orcid.org/0000-0002-5084-4960</orcidid><oa>free_for_read</oa></addata></record>
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subjects Animals
Arachnids
Case-Control Studies
Confidence intervals
Deprivation
Disease control
Environmental risk
Ethnic factors
Exposure
Humans
Infections
Local communities
Lyme disease
Lyme Disease - epidemiology
Lyme Disease - veterinary
Neighborhoods
Ontario - epidemiology
Original Articles
Population control
Public health
Regression analysis
Residential communities
Risk analysis
Risk factors
Social Class
Socioeconomic Factors
Socioeconomic status
Socioeconomics
Statistical analysis
Ticks
Vector-borne diseases
title Rurality, Socioeconomic Status, and Residence in Environmental Risk Areas Associated with Increased Lyme Disease Incidence in Ontario, Canada: A Case-Control Study
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