Korean Public Health Research (대한보건연구)

The Korean Public Health Association (대한보건협회)
권호 표지

Establishment of the Research System for Multi-level Analyses for Controlling HIV/AIDS in Korea

국내 HIV/AIDS 관리를 위한 다층분석용 연구 시스템 구축

  • Bae, Jong-Myon (Department of Preventive Medicine, Jeju National University School of Medicine)
  • 배종면 (국립제주대학교 의학전문대학원 예방의학교실)
  • Received : 2018.09.21
  • Accepted : 2018.11.05
  • Published : 2018.11.30

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Abstract

As the main aim of infectious disease epidemiology is to prevent a pathogen transmission, traditional epidemiological studies have focused on the evaluation of individual-level risk factors. But group-level factors as well as individual-level are important in understanding and controlling transmission of infectious diseases, especially sex-transmitted infectious diseases. Multi-level analysis (MLA) is known as a powerful analytical tool for investigating both levels simultaneously. While new cases of HIV/AIDS in Korea are increasing annually, it is urgently needed to establish research system for MLA led by Korea Centers for Disease Control & Prevention.

Keywords

References

  1. Noppert GA, Kubale JT, Wilson ML. Analyses of infectious disease patterns and drivers largely lack insights from social epidemiology: contemporary patterns and future opportunities. J Epidemiol Community Health. 2017;71(4):350-355. https://doi.org/10.1136/jech-2016-207967
  2. Diez Roux AV, Aiello AE. Multilevel analysis of infectious diseases. J Infect Dis. 2005;191 Suppl 1:S25-33. https://doi.org/10.1086/425288
  3. Shannon K, Goldenberg SM, Deering KN, Strathdee SA. HIV infection among female sex workers in concentrated and high prevalence epidemics: why a structural determinants framework is needed. Curr Opin HIV AIDS. 2014;9(2):174-82. https://doi.org/10.1097/COH.0000000000000042
  4. Weston D, Hauck K, Amlot R. Infection prevention behaviour and infectious disease modelling: a review of the literature and recommendations for the future. BMC Public Health. 2018;18(1):336. https://doi.org/10.1186/s12889-018-5223-1
  5. Christley RM, Pinchbeck GL, Bowers RG, Clancy D, French NP, Bennett R, et al. Infection in social networks: using network analysis to identify high-risk individuals. Am J Epidemiol. 2005;162(10):1024-31. https://doi.org/10.1093/aje/kwi308
  6. Doherty IA, Padian NS, Marlow C, Aral SO. Determinants and consequences of sexual networks as they affect the spread of sexually transmitted infections. J Infect Dis. 2005;191 Suppl 1:S42-54. https://doi.org/10.1086/425277
  7. Dennis AM, Herbeck JT, Brown AL, Kellam P, de Oliveira T, Pillay D, et al. Phylogenetic studies of transmission dynamics in generalized HIV epidemics: an essential tool where the burden is greatest? J Acquir Immune Defic Syndr. 2014;67(2):181-95. https://doi.org/10.1097/QAI.0000000000000271
  8. Shiino T1. Phylodynamic analysis of a viral infection network. Front Microbiol. 2012;3:278.
  9. Bansal S, Read J, Pourbohloul B, Meyers LA. The dynamic nature of contact networks in infectious disease epidemiology. J Biol Dyn. 2010;4(5):478-89. https://doi.org/10.1080/17513758.2010.503376
  10. Smith AM, Subramanian SV. Population contextual associations with heterosexual partner numbers: a multilevel analysis. Sex Transm Infect. 2006;82(3):250-4; discussion 254. https://doi.org/10.1136/sti.2005.018549
  11. Haley DF, Kramer MR, Adimora AA, Haardorfer R, Wingood GM, Ludema C, et al. Relationships between neighbourhood characteristics and current STI status among HIV-infected and HIV-uninfected women living in the Southern USA: a cross-sectional multilevel analysis. Sex Transm Infect. 2017;93(8):583-589. https://doi.org/10.1136/sextrans-2016-052889
  12. Tomita A, Vandormael AM, Barnighausen T, de Oliveira T, Tanser F. Social Disequilibrium and the Risk of HIV Acquisition: A Multilevel Study in Rural KwaZulu-Natal Province, South Africa. J Acquir Immune Defic Syndr. 2017;75(2):164-174. https://doi.org/10.1097/QAI.0000000000001349
  13. Kumar GA, Dandona R1, Alary M, Dandona L. Predictors of HIV prevalence among street-based female sex workers in Andhra Pradesh state of India: a districtlevel analysis. BMC Womens Health. 2014;14:65. https://doi.org/10.1186/1472-6874-14-65
  14. Uthman OA, Kayode GA, Adekanmbi VT. Individual and contextual socioeconomic determinants of knowledge of the ABC approach of preventing the sexual transmission of HIV in Nigeria: a multilevel analysis. Sex Health. 2013;10(6):522-9. https://doi.org/10.1071/SH13065
  15. Adimora AA, Schoenbach VJ, Taylor EM, Khan MR, Schwartz RJ, Miller WC. Sex ratio, poverty, and concurrent partnerships among men and women in the United States: a multilevel analysis. Ann Epidemiol. 2013;23(11):716-9. https://doi.org/10.1016/j.annepidem.2013.08.002