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Original research
Modelling the contribution that different sexual practices involving the oropharynx and saliva have on Neisseria gonorrhoeae infections at multiple anatomical sites in men who have sex with men
  1. Xianglong Xu1,2,3,
  2. Eric P F Chow2,3,4,
  3. Jason J Ong1,2,3,
  4. Christian J P A Hoebe5,6,
  5. Deborah Williamson7,8,9,
  6. Mingwang Shen1,
  7. Fabian Yuh Shiong Kong4,
  8. Jane S Hocking1,10,
  9. Christopher K Fairley1,2,3,
  10. Lei Zhang1,2,3,11
  1. 1 China Australia Joint Research Center for Infectious Diseases, Xian Jiaotong University, Xi'an, Shaanxi, China
  2. 2 Central Clinical School, Monash University, Clayton, Victoria, Australia
  3. 3 Melbourne Sexual Health Centre, Alfred Health, Carlton, Victoria, Australia
  4. 4 Centre for Epidemiology and Biostatistics, University of Melbourne, Melbourne, Victoria, Australia
  5. 5 Department of Infectious Diseases, South Limburg Public Health Services, Geleen, The Netherlands
  6. 6 Department of Medical Microbiology, Care and Public Health Research Institute (CAPHRI), Maastricht University Medical Centre (MUMC+), Maastricht, the Netherlands
  7. 7 Melbourne Diagnostic Unit Public Health Laboratory, University of Melbourne, Melbourne, Victoria, Australia
  8. 8 Doherty Applied Microbial Genomics, Doherty Institute, The University of Melbourne, Melbourne, Victoria, Australia
  9. 9 Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, Doherty Institute, The University of Melbourne, Melbourne, Victoria, Australia
  10. 10 Melbourne School of Population and Global Health, University of Melbourne, Carlton, Victoria, Australia
  11. 11 Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China
  1. Correspondence to Dr Lei Zhang, China Australia Joint Research Center for Infectious Diseases, Xi’an Jiaotong University Health Science Centre, Xi’an, Shaanxi, People’s Republic of China; lei.zhang1{at}monash.edu

Abstract

Background The spectrum of sexual practices that transmit Neisseria gonorrhoeae in men who have sex with men (MSM) is controversial. No studies have modelled potential Neisseria gonorrhoeae transmission when one sexual practice follows another in the same sexual encounter (‘sequential sexual practices’). Our aim was to test what sequential practices were necessary to replicate the high proportion of MSM who have more than one anatomical site infected with gonorrhoea (‘multisite infection’).

Methods To test our aim, we developed eight compartmental models. We first used a baseline model (model 1) that included no sequential sexual practices. We then added three possible sequential transmission routes to model 1: (1) oral sex followed by anal sex (or vice versa) (model 2); (2) using saliva as a lubricant for penile–anal sex (model 3) and (3) oral sex followed by oral–anal sex (rimming) or vice versa (model 4). The next four models (models 5–8) used combinations of the three transmission routes.

Results The baseline model could only replicate infection at the single anatomical site and underestimated multisite infection. When we added the three transmission routes to the baseline model, oral sex, followed by anal sex or vice versa, could replicate the prevalence of multisite infection. The other two transmission routes alone or together could not replicate multisite infection without the inclusion of oral sex followed by anal sex or vice versa.

Conclusions Our gonorrhoea model suggests sexual practices that involve oral followed by anal sex (or vice versa) may be important for explaining the high proportion of multisite infection.

  • gay men
  • gonorrhoea
  • incidence studies
  • modelling
  • sexual behaviour

Data availability statement

All data relevant to the study are included in the article or uploaded as supplementary information. The data were all collected from published articles and reports. Data are available in the supplementary materials.

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Data availability statement

All data relevant to the study are included in the article or uploaded as supplementary information. The data were all collected from published articles and reports. Data are available in the supplementary materials.

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Footnotes

  • Handling editor Laith J Abu-Raddad

  • Twitter @EricPFChow, @drdebwilliamson

  • Contributors XX, LZ and CKF conceived and designed the study; XX and LZ established the model; XX and LZ did the analysis; MS contributed in checking the analysis and gave overall feedback to the analysis; XX wrote the first draft; CKF provided critical insights for framing of the first draft; EPFC, JJO, CJPAH, DB, MS, FYSK, JSH, CKF and LZ revised the manuscript. All authors reviewed drafts and approved the final manuscript.

  • Funding EPFC, DW and CKF are supported by an Australian National Health and Medical Research Council (NHMRC) Emerging Leadership Investigator Grant (GNT1172873, GNT1174555 and GNT1172900, respectively). JJO is supported by an Australian NHMRC early career fellowship (APP1104781). MS was supported by the National Natural Science Foundation of China (grant number:11 801 435 (MS)), China Postdoctoral Science Foundation (grant number 2018M631134M631134), the Fundamental Research Funds for the Central Universities (grant number: xjh012019055, xzy032020026) and Natural Science Basic Research ProgramProgram of Shaanxi Province (Grant number: 2019JQ-187). LZ is supported by the National Natural Science Foundation of China (Grant number: 81950410639); Outstanding Young Scholars Support Program (Grant number: 3111500001); Xi’an Jiaotong University Basic Research and Profession Grant (Grant number: xtr022019003, xzy032020032); Epidemiology modeling and risk assessment (Grant number: 20200344) and Xi’an Jiaotong University Young Scholar Support Grant (Grant number: YX6J004).

  • Competing interests None declared.

  • Provenance and peer review Not commissioned; externally peer reviewed.