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논문KCI 등재

국내 중증열성혈소판감소증후군의 시공간적 집적성 분석 및 기후·환경요인과의 관련성 (2013년~2023년)

Spatiotemporal Clustering Analysis of Severe Fever with Thrombocytopenia Syndrome in Korea and Association with Climatic and Environmental Factors (2013-2023)

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초록

Objectives: This study aimed to identify areas and periods of high incidence of severe fever with thrombocytopenia syndrome (SFTS) in Korea through spatiotemporal analysis and association with climatic and environmental factors. Methods: Clusters of cities, counties, and districts were identified using spatiotemporal clustering analysis for each year from 2013 to 2023. Risk factors affecting the clusters, including monthly climatic and environmental factors for each area, were analyzed through generalized estimating equations. Results: From 2013 to 2023, a total of 68 spatiotemporal clusters were identified, with an average diameter of 34.16 kilometers and an average duration of 4.1 months. Most clusters were identified between July and October, with an average of 6.8 cities, counties, or districts per cluster. The analysis of risk factors affecting clusters showed that mean temperature, forest coverage rate, and average forest growing stock were associated with increased risk, while mean wind speed was associated with decreased risk. Conclusions: As there are currently no vaccines or specific therapeutics available for SFTS, the best prevention strategy is to avoid tick bites and ensure early diagnosis. Therefore, it is essential to continue promoting prevention policies and initiatives targeting people in high-risk areas during high-risk periods.

Abstract

Objectives: This study aimed to identify areas and periods of high incidence of severe fever with thrombocytopenia syndrome (SFTS) in Korea through spatiotemporal analysis and association with climatic and environmental factors. Methods: Clusters of cities, counties, and districts were identified using spatiotemporal clustering analysis for each year from 2013 to 2023. Risk factors affecting the clusters, including monthly climatic and environmental factors for each area, were analyzed through generalized estimating equations. Results: From 2013 to 2023, a total of 68 spatiotemporal clusters were identified, with an average diameter of 34.16 kilometers and an average duration of 4.1 months. Most clusters were identified between July and October, with an average of 6.8 cities, counties, or districts per cluster. The analysis of risk factors affecting clusters showed that mean temperature, forest coverage rate, and average forest growing stock were associated with increased risk, while mean wind speed was associated with decreased risk. Conclusions: As there are currently no vaccines or specific therapeutics available for SFTS, the best prevention strategy is to avoid tick bites and ensure early diagnosis. Therefore, it is essential to continue promoting prevention policies and initiatives targeting people in high-risk areas during high-risk periods.

참고문헌 (24)

  1. Yu XJ, "Fever with thrombocytopenia associated with a novel bunyavirus in China", N Engl J Med, 364(16), pp.1523~1532 (2011)
  2. Rattanakomol P, "Severe Fever with Thrombocytopenia Syndrome Virus Infection, Thailand, 2019-2020", Emerg Infect Dis, 28(12), pp.2572~2574 (2022)
  3. Yun SM, "Genetic and pathogenic diversity of severe fever with thrombocytopenia syndrome virus(SFTSV)in South Korea", JCI Insight, 5(2), pp.e129531~ (2020)
  4. "Taxonomy History: SFTS Virus" (2023)[URL]
  5. Korea Disease Control and Prevention Agency (KDCA), "Guideline for control of tick and rodent-borne infectious disease 2024", 41~63 (2024)
  6. Kim D, "Current Progress of Severe Fever with Thrombocytopenia Syndrome Virus(SFTSV)Vaccine Development", Viruses, 16(1), pp.128~ (2024)
  7. Song H, "The pathogenic and clinical characteristics of severe fever with thrombocytopenia syndrome patients with co-infections", Front Cell Infect Microbiol, 13, pp.1298050~ (2023)
  8. Taxonomy and Occurrences of Disease Mediating Ticks (Ⅰ), "Suh JH", National Institute of Biological Resources, 3~12 (2015)
  9. Hwang JH, "Severe Fever with Thrombocytopenia Syndrome close contacts testing between humans and companion animals : pilot project results", Public Health Weekly Report, 14(24), pp.1722~1730 (2021)
  10. Park S, "Evaluating the spatial and temporal patterns of the severe fever thrombocytopenia syndrome in Republic of Korea", Geospat Health, 16(2), pp.994~ (2021)
  11. Wang JN, "Vectors, Hosts, and the Possible Risk Factors Associated with Severe Fever with Thrombocytopenia Syndrome", Can J Infect Dis Med Microbiol, 2021(1), pp.8518189~ (2021)
  12. Yun Y, "Phylogenetic Analysis of Severe Fever with Thrombocytopenia Syndrome Virus in South Korea and Migratory Bird Routes Between China, South Korea, and Japan", Am J Trop Med Hyg, 93(3), pp.468~474 (2015)
  13. Miao D, "Mapping the global potential transmission hotspots for severe fever with thrombocytopenia syndrome by machine learning methods", Emerg Microbes Infect, 9(1), pp.817~826 (2020)
  14. Noh BE, "Surveillance of Tick Density in the Republic of Korea, 2022", Public Health Weekly Report, 16, pp.1119~1130 (2023)
  15. Liu K, "Epidemiologic features and environmental risk factors of severe fever with thrombocytopenia syndrome, Xinyang, China", PLoS Negl Trop Dis, 8(5), pp.e2820~ (2014)
  16. Oh H, "Current Status and Infection Control of Severe Fever with Thrombocytopenia Syndrome in Korea", Korean J healthc assoc Infect Control Prev, 27(1), pp.18~27 (2022)
  17. Choi Jh, "Epidemiological Characteristics of Cases and Deaths of Severe Fever with Thrombocytopenia Syndrome(SFTS), 2022", Public Health Weekly Report, 16(30), pp.1025~1037 (2023)
  18. Kim DH, "Seroprevalence and Risk Factors for Severe Fever with Thrombocytopenia Syndrome among the Korea National Park Service Workers", J Agr Med Community Health, 46(3), pp.162~170 (2021)
  19. Deng B, "Meteorological factors and tick density affect the dynamics of SFTS in jiangsu province, China", PLoS Negl Trop Dis, 16(5), pp.e0010432~ (2022)
  20. Liu K, "A national assessment of the epidemiology of severe fever with thrombocytopenia syndrome, China", Sci Rep, 5, pp.9679~ (2015)
  21. Yoo JR, "Severe Fever with Thrombocytopenia Syndrome Virus in Ticks and SFTS Incidence in Humans, South Korea", Emerg Infect Dis, 26(9), pp.2292~2294 (2020)
  22. Kim J, "Risk factors associated with death due to severe fever with thrombocytopenia syndrome in hospitalized Korean patients(2018–2022)", Osong Public Health Res Perspect, 14(3), pp.151~163 (2023)
  23. Zhao J, "Sex Differences in Case Fatality Rate of Patients With Severe Fever With Thrombocytopenia Syndrome", Front Microbiol, 12, pp.738808~ (2021)
  24. Duan Q, "Spatiotemporal distribution and environmental influences of severe fever with thrombocytopenia syndrome in Shandong Province, China", BMC Infect Dis, 23(1), pp.891~ (2023)

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