ArticleInfection ecology & epidemiology2016
Individual and environmental factors associated with the seroprevalence of
Article in Infection ecology & epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
What it found
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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
11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.
- Seroprevalence of Lyme Borreliosis in Europe: Results from a Systematic Literature Review (2005-2020).Vector borne and zoonotic diseases (Larchmont, N.Y.) · 2023Pooled it
- Systematic Review and Meta-analysis of Lyme Disease Data and Seropositivity for Borrelia burgdorferi, China, 2005‒2020.Emerging infectious diseases · 2022Pooled it
- First Detection of Seroreactivity to Lyme Borreliosis in Agricultural Workers from a Non-Endemic Region of South Korea.Yonsei medical journal · 2025Article
- The Role of Environmental Factors in Lyme Disease Transmission in the European Union: A Systematic Review.Tropical medicine and infectious disease · 2024Review
- The evolving story of Borrelia burgdorferi sensu lato transmission in Europe.Parasitology research · 2022Review
- Occupational Lyme Disease: A Systematic Review and Meta-Analysis.Diagnostics (Basel, Switzerland) · 2022Review
- Shared Odds ofPathogens (Basel, Switzerland) · 2021Article
- Association of Seropositivity to Borrelia burgdorferi With the Risk of Neuropsychiatric Disorders and Functional Decline in Older Adults: The Aging Multidisciplinary Investigation Study.JAMA neurology · 2020Article
- Geographical Features and Seroprevalence ofJournal of arthropod-borne diseases · 2018Article
- Using volunteered observations to map human exposure to ticks.Scientific reports · 2018Article
- Seroprevalence of Borrelia burgdorferi in Belgian forestry workers and associated risk factors.Parasites & vectors · 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
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLyme disease (LD) is a common tick-borne disease in Europe. Diverse factors at various scales determine the spatial distribution of
methodsSerological results of 127 veterinarians and farmers enrolled in this study were analyzed, taking into account their municipality of residence. Using binary logistic regression and considering interaction terms, the joint effects of landscape composition and configuration, and forest and wildlife management were examined.
resultsSeven of the 127 workers were seropositive for LD, leading to a seroprevalence of 5.51%. Seropositivity was higher in older persons. The proportion of forest and semi-natural habitats and wetland had a positive impact on LD seroprevalence while arable land-grassland ecotones had a negative one. Our results confirmed the need to consider complex interactions between landscape variables in order to model risk.
conclusionsOur data show that LD has to be considered as a risk for farmers and veterinarians. Rather than focusing either on ecological aspects of tick and pathogen distribution or on purely epidemiological aspects such as individual risk factors, our model highlights the role of human-environment interactions in LD risk assessment.
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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.