ORCID Profile
0000-0003-0764-1380
Current Organisations
UNSW Sydney
,
Queensland University of Technology
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Publisher: Cold Spring Harbor Laboratory
Date: 03-05-2021
DOI: 10.1101/2021.04.30.21256375
Abstract: 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 emergence of an imported XDR NG strain in this population could result in an epidemic that would be difficult and costly to control. An in idual-based, anatomical site-specific mathematical model of NG transmission among Australian MSM was developed and used to evaluate the potential for elimination of an emergent XDR NG strain under a range of case-based and population-based test-and-treat strategies. When applied upon detection of the imported strain, these strategies enhanced the probability of elimination and reduced the outbreak size compared with current practice. The most effective strategies combined testing targeted at regular and casual partners with increased rates of population testing. However, even with the most effective strategies, outbreaks could persist for up to 2 years post-detection. Our simulations suggest that local elimination of emergent NG XDR 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. In most high-income settings, gonorrhoea transmission is endemic among men who have sex with men (MSM). While gonorrhoea remains readily treatable, there are major concerns about further resistance due to recent reports of treatment failure with first-line therapy and limited remaining treatment options. Here we investigated the potential for trace and treat response strategies to eliminate such strains before their prevalence reaches a level requiring a shift to new first line therapies. Rather than directly consider resistance, we explore the mitigating effect of various test and trace measures on outbreaks of a generic imported strain which remains treatable. This is done within a realistic mathematical model of spread in an MSM community that captures cases, anatomical sites of infection and contacts at an in idual level, calibrated to Australian epidemiology. The results indicate that strategies such as partner tracing and treatment in combination with elevated asymptomatic community testing are highly effective in mitigating outbreaks but can take up to 2 years to achieve elimination. As there are currently no clear alternatives of proven efficacy and safety to replace ceftriaxone in first-line therapy, these promising results suggest potential for use of these outbreak response strategies to enable continuation of current treatment recommendations.
Publisher: Elsevier BV
Date: 07-2020
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: Public Library of Science (PLoS)
Date: 04-11-2021
DOI: 10.1371/JOURNAL.PCBI.1009385
Abstract: 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 in idual-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-and-treat 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.
Publisher: Elsevier BV
Date: 09-2016
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: IEEE
Date: 07-2011
Publisher: Frontiers Media SA
Date: 18-06-2020
Publisher: American Chemical Society (ACS)
Date: 08-02-2018
DOI: 10.1021/ACS.JPROTEOME.7B00649
Abstract: Negative genetic interactions in Saccharomyces cerevisiae have been systematically screened to near-completeness, with >500 000 interactions identified. Nevertheless, the biological basis of these interactions remains poorly understood. To investigate this, we analyzed negative genetic interactions within an integrated biological network, being the union of protein-protein, kinase-substrate, and transcription factor-target gene interactions. Network triplets, containing two genes roteins that show negative genetic interaction and a third protein from the network, were then analyzed. Strikingly, just six out of 15 possible triplet motif types were present, as compared to randomized networks. These were in three clear groups: protein-protein interactions, signaling, and regulatory triplets where the latter two showed no overlap. In the triplets, negative genetic interactions were associated with paralogs and ohnologs however, these were very rare. Negative genetic interactions among the six triplet motifs did however show strong dosage constraints, with genes being significantly associated with toxicity on overexpression and periodicity in the cell cycle. Negative genetic interactions overlapped with other interaction types in 37% of cases these were predominantly associated with protein complexes or signaling events. Finally, we highlight regions of "network vulnerability" containing multiple negative genetic interactions these could be targeted in fungal species for the regulation of cell growth.
Publisher: Elsevier BV
Date: 03-2020
Publisher: Springer Science and Business Media LLC
Date: 08-06-2018
Publisher: Oxford University Press (OUP)
Date: 23-04-2014
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: Public Library of Science (PLoS)
Date: 24-08-2022
DOI: 10.1371/JOURNAL.PONE.0271457
Abstract: Many studies have considered temperature trends at the global scale, but the literature is commonly associated with an overall increase in mean temperature in a defined past time period and hence lacking in in-depth analysis of the latent trends. For ex le, in addition to heterogeneity in mean and median values, daily temperature data often exhibit quasi-periodic heterogeneity in variance, which has largely been overlooked in climate research. To this end, we propose a joint model of quantile regression and variability. By accounting appropriately for the heterogeneity in these types of data, our analysis using Australian data reveals that daily maximum temperature is warming by ∼0.21°C per decade and daily minimum temperature by ∼0.13°C per decade. More interestingly, our modeling also shows nuanced patterns of change over space and time depending on location, season, and the percentiles of the temperature series.
Publisher: Informa UK Limited
Date: 12-01-2016
Publisher: Elsevier BV
Date: 04-2021
Publisher: University of Queensland Library
Publisher: Foundation for Open Access Statistic
Date: 2017
Publisher: Springer Science and Business Media LLC
Date: 15-01-2021
Publisher: Elsevier BV
Date: 06-2020
Publisher: Springer Berlin Heidelberg
Date: 2013
No related grants have been discovered for Qibin Duan.