ArticleEnvironmental health perspectives2018
Integrated Social-Behavioral and Ecological Risk Maps to Prioritize Local Public Health Responses to Lyme Disease.
Article in Environmental health perspectives, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed.
- Molecular detection ofOne health (Amsterdam, Netherlands) · 2026Article
- The ecology of Lyme disease: Long-term data, surprises, and a synthesis.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Spatial multi-criteria decision analysis for the selection of sentinel regions in tick-borne disease surveillance.BMC public health · 2024Article
- How do host population dynamics impact Lyme disease risk dynamics in theoretical models?PloS one · 2024Article
- Risky business: human-related data is lacking from Lyme disease risk models.Frontiers in public health · 2023Review
- Behavioral risk factors associated with reported tick exposure in a Lyme disease high incidence region in Canada.BMC public health · 2022Article
- Spatiotemporal trends and socioecological factors associated with Lyme disease in eastern Ontario, Canada from 2010-2017.BMC public health · 2022Article
- The Effects of Lifestyle on the Risk of Lyme Disease in the United States: Evaluation of Market Segmentation Systems in Prevention and Control Strategies.International journal of environmental research and public health · 2021Article
- Article
- Public perceptions of Lyme disease and climate change in southern Manitoba, Canada: making a case for strategic decoupling of climate and health messages.BMC public health · 2021Article
- Emergence of Lyme Disease on Treeless Islands, Scotland, United Kingdom.Emerging infectious diseases · 2021Article
- Hyalomma anatolicum resistance against ivermectin and fipronil is associated with indiscriminate use of acaricides in southwestern Balochistan, Pakistan.Parasitology research · 2021Article
- Development and validation of a behavioral index for adaptation to lyme disease.BMC public health · 2020Article
- Telephone versus web panel National Survey for monitoring adoption of preventive behaviors to climate change in populations: a case study of Lyme disease in Québec, Canada.BMC medical research methodology · 2020Article
- THE EXPOSOME IN HUMAN EVOLUTION: FROM DUST TO DIESEL.The Quarterly review of biology · 2019Article
- What is the real number of Lyme disease cases in Canada?BMC public health · 2019Article
- Citizen science informs human-tick exposure in the Northeastern United States.International journal of health geographics · 2019Article
- Factors Leading Municipal Authorities to Implement Preventive Interventions for Lyme Disease.International journal of environmental research and public health · 2019Article
- N Increased risk of tick-borne diseases with climate and environmental changes.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2019Article
- Reconciling the Entomological Hazard and Disease Risk in the Lyme Disease System.International journal of environmental research and public health · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe risk of contracting Lyme disease (LD) can vary spatially because of spatial heterogeneity in risk factors such as social-behavior and exposure to ecological risk factors. Integrating these risk factors to inform decision-making should therefore increase the effectiveness of mitigation interventions.
objectivesThe objective of this study was to develop an integrated social-behavioral and ecological risk-mapping approach to identify priority areas for LD interventions.
methodsThe study was conducted in the Montérégie region of Southern Quebec, Canada, where LD is a newly endemic disease. Spatial variation in LD knowledge, risk perceptions, and behaviors in the population were measured using web survey data collected in 2012. These data were used as a proxy for the social-behavioral component of risk. Tick vector population densities were measured in the environment during field surveillance from 2007 to 2012 to provide an index of the ecological component of risk. Social-behavioral and ecological components of risk were combined with human population density to create integrated risk maps. Map predictions were validated by testing the association between high-risk areas and the current spatial distribution of human LD cases.
resultsSocial-behavioral and ecological components of LD risk had markedly different distributions within the study region, suggesting that both factors should be considered for locally adapted interventions. The occurrence of human LD cases in a municipality was positively associated with tick density (
conclusionThis study is an applied demonstration of how integrated social-behavioral and ecological risk maps can be created to assist decision-making. Social survey data are a valuable but underutilized source of information for understanding regional variation in LD exposure, and integrating this information into risk maps provides a novel approach for prioritizing and adapting interventions to the local characteristics of target populations. https://doi.org/10.1289/EHP1943.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.