Author

A. Arnott

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 5

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:variant calling· 3 Organism:virus· 3 Assay:whole-genome sequencing· 3 Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Organism:bacteria (other)· 1 Approach:benchmark study· 1

Frequent Co-Authors

R. J. Rockett· 5 shared V. Sintchenko· 5 shared C. Lam· 4 shared J. Kok· 4 shared K. Basile· 4 shared D. E. Dwyer· 3 shared S. Maddocks· 3 shared W. Fong· 3 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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5 shared papersMicrobiology

R. J. Rockett

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Genomic evolution of SARS-CoV-2 variants of concern under in vitro neutralising selection pressure following two doses of the Pfizer-BioNTech BNT162b2 COVID-19 vaccine

K. Basile, J. E. Agius, W. Fong, K. McPhie, M. Fennel, D. Ko, L. Hueston, C. Lam, A. Arnott, S. C.-A. Chen, S. Maddocks, M. V. N. O Sullivan, D. Dwyer, V. Sintchenko, J. Kok, , CIDMLS COVID-19 Study Group

This study assesses the neutralizing antibody titres against SARS-CoV-2 variants Delta and Beta post-Pfizer-BioNTech vaccination, finding significant reductions compared to wild-type virus.

bioRxiv · Sep 24, 2023 · PreprintMicrobiology

Improved neutralization of the SARS-CoV-2 Omicron variant after Pfizer-BioNTech BNT162b2 COVID-19 vaccine boosting

K. Basile, R. J. Rockett, K. McPhie, M. Fennell, J. Johnson-Mackinnon, J. Agius, W. Fong, H. Rahman, D. Ko, L. Donavan, L. Hueston, C. Lam, A. Arnott, S. Chen, S. Maddocks, , J. Kok

This study shows that Pfizer-BioNTech vaccine boosting increases neutralizing antibodies against Omicron, but they are still lower than against the A.2.2 lineage.

bioRxiv · Dec 12, 2021 · PreprintMicrobiology

SARS-CoV-2 Genome Sequencing Methods Differ In Their Ability To Detect Variants From Low Viral Load Samples

C. Lam, K.-A. Gray, M. Gall, R. Sadsad, A. Arnott, J. Johnson-Mackinnon, W. Fong, K. Basile, J. Kok, D. E. Dwyer, V. Sintchenko, R. J. Rockett

This study compares three SARS-CoV-2 sequencing methods for their ability to detect variants from low viral load samples, finding that ARTIC v3 is most sensitive.

bioRxiv · May 1, 2021Microbiology

REVEALING COVID-19 TRANSMISSION BY SARS-CoV-2 GENOME SEQUENCING AND AGENT BASED MODELLING

R. J. Rockett, A. Arnott, C. Lam, R. Sadsad, V. Timms, K.-A. Gray, J.-S. Eden, S. L. Chang, M. Gall, J. Draper, E. Sim, N. L. Bachmann, I. Carter, K. Basile, R. Byun, , V. Sintchenko

The paper uses SARS-CoV-2 genome sequencing and agent-based modeling to estimate local transmission rates during the early stages of the COVID-19 outbreak in New South Wales.

bioRxiv · Apr 19, 2020 · PreprintMicrobiology

Genomic surveillance enables suitability assessment of Salmonella gene targets used for culture-independent diagnostic testing

R. J. Rockett, A. Arnott, Q. Wang, P. Howard, V. Sintchenko

The paper assesses the suitability of Salmonella gene targets for PCR-based diagnostic testing using genomic data from 3165 isolates, finding varying levels of nucleotide dissimilarity across targets.

bioRxiv · Jan 7, 2020Microbiology