ORCID Profile
0000-0001-7397-498X
Current Organisations
CSIRO
,
Queensland University of Technology
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Publisher: Springer Science and Business Media LLC
Date: 06-2023
DOI: 10.1007/S11134-023-09876-W
Abstract: We investigate the 36-year history of research published in the journal Queueing Systems: Theory and Applications (QUESTA), to uncover trends over time in the research topics and themes covered as well as in authorship, co-authorship, and institutional affiliation. Our analysis includes three different approaches. First, we conduct a content analysis of titles and abstracts using selected keywords to examine trends in the three themes of models , methods , and concepts applied in each article. Second, we employ unsupervised topic modeling to identify more hidden topics discussed in the journal. Finally, we analyze the co-authorship graph to identify trends in co-authorship and changes in collaboration practices between authors and their research institutions. Our findings reveal a persistent popularity of studies focused on the basic modeling of queues, queueing networks, and queueing systems. We also confirm an increase in collaboration among authors over time.
Publisher: Public Library of Science (PLoS)
Date: 02-12-2022
DOI: 10.1371/JOURNAL.PDIG.0000142
Abstract: We describe an experimental setup and a currently running experiment for evaluating how physical interactions over time and between in iduals affect the spread of epidemics. Our experiment involves the voluntary use of the Safe Blues Android app by participants at The University of Auckland (UoA) City C us in New Zealand. The app spreads multiple virtual safe virus strands via Bluetooth depending on the physical proximity of the subjects. The evolution of the virtual epidemics is recorded as they spread through the population. The data is presented as a real-time (and historical) dashboard. A simulation model is applied to calibrate strand parameters. Participants’ locations are not recorded, but participants are rewarded based on the duration of participation within a geofenced area, and aggregate participation numbers serve as part of the data. The 2021 experimental data is available as an open-source anonymized dataset, and once the experiment is complete, the remaining data will be made available. This paper outlines the experimental setup, software, subject-recruitment practices, ethical considerations, and dataset description. The paper also highlights current experimental results in view of the lockdown that started in New Zealand at 23:59 on August 17, 2021. The experiment was initially planned in the New Zealand environment, expected to be free of COVID and lockdowns after 2020. However, a COVID Delta strain lockdown shuffled the cards and the experiment is currently extended into 2022.
Publisher: Cold Spring Harbor Laboratory
Date: 21-04-2020
DOI: 10.1101/2020.04.21.052936
Abstract: Transmissible interfering dengue particles (DENV–TIPs) are engineered dengue virus mutants which are defective and can replicate only with the help of dengue wild–type virus (DENV). In vitro studies have found that when DENV–TIPs and DENV coinfect a cell, they compete for viral genomes and cell proteins for replication and packaging, and DENV–TIPs outperform DENV in this process. Thus, it is hypothesised that DENV–TIPs may be used as a novel therapeutic agent. However, the effectiveness of DENV–TIPs as an antiviral agent is yet to be explored at an epidemiological scale. We present a mathematical model for the replication of DENV and DENV–TIPs as they interact with human host cells, accounting for the effectiveness of DENV–TIPs in blocking DENV from coinfected cells. We fit the model to sequentially measured plasma viral titre data from primary and secondary dengue serotype 1 infected patients in Vietnam. We show that variation in initial DENV load is sufficient to recreate the observed variation between patients. Parameter estimates, differing in primary and secondary infections, do not confirm a significant difference between these two types of infection. We use our model to investigate the potential impact of DENV–TIPs as an antiviral agent. We conclude that, when the effectiveness of DENV–TIPs in inhibiting DENV from coinfected cells is at least 80%, a dose as high as 10 12 copies per millilitre of blood is required to reduce duration of infection and peak DENV serotype 1 infection level at any time point of infection. This work provides a quantitative understanding of the relationship between DENV–TIPs levels and their efficiency in clearing dengue viral infection. It will guide future development of mechanistic models of how DENV–TIPs might contribute as an antiviral agent in limiting natural dengue infection. Inhibition of dengue wild–type virus (DENV) by transmissible interfering dengue particles (DENV–TIPs) is seen in some in vitro studies, and it is hypothesised that DENV–TIPs may be used as a therapeutic agent. However, the efficiency of DENV–TIPs in limiting DENV infection in patients is yet to be explored at an epidemiological scale. Using data collected from dengue serotype 1 infected patients, we model how DENV replicates in an infected patient and how effective DENV–TIPs are in controlling that replication. Our results are of use in the evaluation of DENV–TIPs as a potential antiviral agent.
No related grants have been discovered for Aminath Shausan.