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Seroepidemiologic Survey of Lyme Disease among Forestry Workers in National Park Offices in South Korea

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  • Dilaram Acharya

    (Department of Preventive Medicine, College of Medicine, Dongguk University, Gyeongju 38066, Korea)

  • Ji-Hyuk Park

    (Department of Preventive Medicine, College of Medicine, Dongguk University, Gyeongju 38066, Korea)

Abstract

Limited data are available on the current status of Lyme disease in South Korea. The aim of this study was to investigate the seroprevalence and risk factors associated with Lyme disease infection among forestry workers in National Park Offices in South Korea. We enrolled National Park Office forestry workers (NPOFWs) who had worked for ≥1 year. Participants completed questionnaires that addressed various subjects including work types and work hygiene-related factors. Collected serum samples were tested using immunofluorescence assay to detect anti- Borrelia antibodies. Multivariate logistic regression was used to identify independent risk factors of seroprevalence. Of 1,410 NPOFWs, 655 (46.5%) participated in this study, and an overall seroprevalence of Lyme disease antibodies was 8.1%. Analysis showed that always eating meals in woodland (odds ratio (OR), 5.11; 95% confidence interval (CI), 2.08–12.52) and raising dogs outside homes (OR, 3.25; 95% CI, 1.57–6.75) were significantly associated with Lyme disease infection. This seroprevalence study indicates that Lyme disease is an important disease among NPOFWs in South Korea. These identified modifiable risk factors should be considered while designing preventive strategies for reducing Lyme disease infection among NPOFWs.

Suggested Citation

  • Dilaram Acharya & Ji-Hyuk Park, 2021. "Seroepidemiologic Survey of Lyme Disease among Forestry Workers in National Park Offices in South Korea," IJERPH, MDPI, vol. 18(6), pages 1-10, March.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:6:p:2933-:d:516072
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    References listed on IDEAS

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    1. Yan Liu & Stella C Watson & Jenna R Gettings & Robert B Lund & Shila K Nordone & Michael J Yabsley & Christopher S McMahan, 2017. "A Bayesian spatio-temporal model for forecasting Anaplasma species seroprevalence in domestic dogs within the contiguous United States," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-18, July.
    2. Stella C Watson & Yan Liu & Robert B Lund & Jenna R Gettings & Shila K Nordone & Christopher S McMahan & Michael J Yabsley, 2017. "A Bayesian spatio-temporal model for forecasting the prevalence of antibodies to Borrelia burgdorferi, causative agent of Lyme disease, in domestic dogs within the contiguous United States," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-22, May.
    3. Kim, Jaehoon & Kim, Sangsin, 2015. "2012년 국회법 개정의 효과 연구 [A Study on the Effect of the 2012 National Assembly Act Amendment]," KDI Research Monographs, Korea Development Institute (KDI), volume 127, number v:2015-03(k):y:2015:p:1-1.
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