Abstract

Peridomestic exposure to Borrelia burgdorferi-infected Ixodes scapularis nymphs is considered the dominant means of infection with black-legged tick-borne pathogens in the eastern United States. Population level studies have detected a positive association between the density of infected nymphs and Lyme disease incidence. At a finer spatial scale within endemic communities, studies have focused on individual level risk behaviors, without accounting for differences in peridomestic nymphal density. This study simultaneously assessed the influence of peridomestic tick exposure risk and human behavior risk factors for Lyme disease infection on Block Island, Rhode Island. Tick exposure risk on Block Island properties was estimated using remotely sensed landscape metrics that strongly correlated with tick density at the individual property level. Behavioral risk factors and Lyme disease serology were assessed using a longitudinal serosurvey study. Significant factors associated with Lyme disease positive serology included one or more self-reported previous Lyme disease episodes, wearing protective clothing during outdoor activities, the average number of hours spent daily in tick habitat, the subject’s age and the density of shrub edges on the subject’s property. The best fit multivariate model included previous Lyme diagnoses and age. The strength of this association with previous Lyme disease suggests that the same sector of the population tends to be repeatedly infected. The second best multivariate model included a combination of environmental and behavioral factors, namely hours spent in vegetation, subject’s age, shrub edge density (increase risk) and wearing protective clothing (decrease risk). Our findings highlight the importance of concurrent evaluation of both environmental and behavioral factors to design interventions to reduce the risk of tick-borne infections.

Highlights

  • Lyme disease, caused by the spirochete Borrelia burgdorferi, is the most commonly reported vector-borne disease in the US, with greater than 20,000 cases reported annually [1]

  • Our study emphasizes the need for integrated studies of both environmental and behavioral risk factors to identify Lyme disease intervention targets

  • The best fit model for Lyme disease included two behaviors that consisted of hours spent in vegetation and wearing protective clothing, and an environmental factor that consisted of a landscape metric quantifying the density of edge between shrubs and other land use classes, lawn, where human exposure to ticks is more likely to occur

Read more

Summary

Introduction

Lyme disease, caused by the spirochete Borrelia burgdorferi, is the most commonly reported vector-borne disease in the US, with greater than 20,000 cases reported annually [1]. Since the Lyme disease vaccine was removed from the market in 2002 [2], strategies to reduce the number of human cases of Lyme disease have focused on ways to control ticks and pathogens in zoonotic hosts through host-targeted acaricides [3,4] and host vaccination [5,6], or to help decrease contact between humans and infected ticks The latter approach has consisted of either reducing the density of I. scapularis nymphs infected with B. burgdorferi (acarological risk) through area-wide acaricides [7,8,9], reducing human-tick contact through environmental management [10], or the use of personal protective measures [11,12,13]. These studies may underestimate the effectiveness of these protective behaviors if residents of high acarological risk properties are more likely to perform them

Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.