Modelling response strategies for controlling gonorrhoea outbreaks in men who have sex with men in Australia

The ability to treat gonorrhoea with current first-line drugs is threatened by the global spread of extensively drug resistant (XDR) Neisseria gonorrhoeae (NG) strains. In Australia, urban transmission is high among men who have sex with men (MSM) and importation of an XDR NG strain in this populati...

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Bibliographic Details
Main Authors: Carmody, C. (Author), Donovan, B. (Author), Duan, Q. (Author), Guy, R.J (Author), Hui, B.B (Author), Kaldor, J.M (Author), Lahra, M.M (Author), Law, M.G (Author), Lewis, D.A (Author), Maley, M. (Author), McGregor, S. (Author), McNulty, A. (Author), Regan, D.G (Author), Selvey, C. (Author), Templeton, D.J (Author), Whiley, D.M (Author), Wood, J.G (Author)
Format: Article
Language:English
Published: Public Library of Science 2021
Subjects:
Online Access:View Fulltext in Publisher
LEADER 03810nam a2200817Ia 4500
001 10.1371-journal.pcbi.1009385
008 220427s2021 CNT 000 0 und d
020 |a 1553734X (ISSN) 
245 1 0 |a Modelling response strategies for controlling gonorrhoea outbreaks in men who have sex with men in Australia 
260 0 |b Public Library of Science  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1371/journal.pcbi.1009385 
520 3 |a The ability to treat gonorrhoea with current first-line drugs is threatened by the global spread of extensively drug resistant (XDR) Neisseria gonorrhoeae (NG) strains. In Australia, urban transmission is high among men who have sex with men (MSM) and importation of an XDR NG strain in this population could result in an epidemic that would be difficult and costly to control. An individual-based, anatomical site-specific mathematical model of NG transmission among Australian MSM was developed and used to evaluate the potential for elimination of an imported NG strain under a range of case-based and population-based test-andtreat strategies. When initiated upon detection of the imported strain, these strategies enhance the probability of elimination and reduce the outbreak size compared with current practice (current testing levels and no contact tracing). The most effective strategies combine testing targeted at regular and casual partners with increased rates of population testing. However, even with the most effective strategies, outbreaks can persist for up to 2 years post-detection. Our simulations suggest that local elimination of imported NG strains can be achieved with high probability using combined case-based and population-based test-and-treat strategies. These strategies may be an effective means of preserving current treatments in the event of wider XDR NG emergence. Copyright © 2021 Duan et al. 
650 0 4 |a Article 
650 0 4 |a Australia 
650 0 4 |a Australia 
650 0 4 |a bacterial transmission 
650 0 4 |a bacterium identification 
650 0 4 |a biological model 
650 0 4 |a biology 
650 0 4 |a Computational Biology 
650 0 4 |a computer simulation 
650 0 4 |a Computer Simulation 
650 0 4 |a Disease Outbreaks 
650 0 4 |a drug effect 
650 0 4 |a Drug Resistance, Multiple, Bacterial 
650 0 4 |a epidemic 
650 0 4 |a epidemic 
650 0 4 |a Epidemiological Models 
650 0 4 |a gonorrhea 
650 0 4 |a gonorrhea 
650 0 4 |a Gonorrhea 
650 0 4 |a Homosexuality, Male 
650 0 4 |a human 
650 0 4 |a Humans 
650 0 4 |a infection control 
650 0 4 |a male 
650 0 4 |a Male 
650 0 4 |a male homosexuality 
650 0 4 |a mathematical model 
650 0 4 |a men who have sex with men 
650 0 4 |a microbiology 
650 0 4 |a Models, Biological 
650 0 4 |a multidrug resistance 
650 0 4 |a Neisseria gonorrhoeae 
650 0 4 |a Neisseria gonorrhoeae 
650 0 4 |a personalized medicine 
650 0 4 |a population research 
650 0 4 |a prevalence 
650 0 4 |a Prevalence 
650 0 4 |a sexual behavior 
650 0 4 |a simulation 
650 0 4 |a strategic planning 
650 0 4 |a urban area 
700 1 |a Carmody, C.  |e author 
700 1 |a Donovan, B.  |e author 
700 1 |a Duan, Q.  |e author 
700 1 |a Guy, R.J.  |e author 
700 1 |a Hui, B.B.  |e author 
700 1 |a Kaldor, J.M.  |e author 
700 1 |a Lahra, M.M.  |e author 
700 1 |a Law, M.G.  |e author 
700 1 |a Lewis, D.A.  |e author 
700 1 |a Maley, M.  |e author 
700 1 |a McGregor, S.  |e author 
700 1 |a McNulty, A.  |e author 
700 1 |a Regan, D.G.  |e author 
700 1 |a Selvey, C.  |e author 
700 1 |a Templeton, D.J.  |e author 
700 1 |a Whiley, D.M.  |e author 
700 1 |a Wood, J.G.  |e author 
773 |t PLoS Computational Biology