60 citations
- The University of MelbourneAU10 papers
- The Royal Melbourne HospitalAU6 papers
- Monash UniversityAU4 papers
- Murdoch Children's Research InstituteAU4 papers
- Royal Children's HospitalAU3 papers
- Commonwealth Scientific and Industrial Research OrganisationAU2 papers
- Queensland University of TechnologyAU2 papers
- The University of AdelaideAU2 papers
- University of CambridgeGB2 papers
- UNSW SydneyAU2 papers
- York UniversityCA2 papers
- AgriBioAU1 paper
10 papers
ChloroScan: Recovering plastid genome bins from metagenomic data
Yuhao Tong, Vanessa Rossetto Marcelino, Robert Turnbull +1
Genome-resolved metagenomics has contributed largely to discovering prokaryotic genomes. When applied to microscopic eukaryotes, challenges such as the high number of introns and r…
Optimal interruption of P. vivax malaria transmission using mass drug administration
Md Nurul Anwar, Roslyn I. Hickson, Somya Mehra +4
\textit{Plasmodium vivax} is the most geographically widespread malaria-causing parasite resulting in significant associated global morbidity and mortality. One of the factors driv…
An activation-clearance model for Plasmodium vivax malaria
Somya Mehra, James M. McCaw, Mark B. Flegg +2
Malaria is an infectious disease with an immense global health burden. Plasmodium vivax is the most geographically widespread species of malaria. Relapsing infections, caused by th…
Risk mapping for COVID-19 outbreaks in Australia using mobility data
Cameron Zachreson, Lewis Mitchell, Michael J. Lydeamore +3
COVID-19 is highly transmissible and containing outbreaks requires a rapid and effective response. Because infection may be spread by people who are pre-symptomatic or asymptomatic…
From climate change to pandemics: decision science can help scientists have impact
Christopher M. Baker, Patricia T. Campbell, Iadine Chades +8
Scientific knowledge and advances are a cornerstone of modern society. They improve our understanding of the world we live in and help us navigate global challenges including emerg…
Optimal Bayesian design for model discrimination via classification
Markus Hainy, David J. Price, Olivier Restif +1
Performing optimal Bayesian design for discriminating between competing models is computationally intensive as it involves estimating posterior model probabilities for thousands of…