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James M McCaw
James M McCaw
Professor of Mathematical Biology, School of Mathematics and Statistics, University of Melbourne
在 unimelb.edu.au 的电子邮件经过验证 - 首页
标题
引用次数
年份
A hybrid transmission model for Plasmodium vivax accounting for superinfection, immunity and the hypnozoite reservoir
S Mehra, PG Taylor, JM McCaw, JA Flegg
Journal of Mathematical Biology 89 (1), 7, 2024
52024
Estimating the impact of test–trace–isolate–quarantine systems on SARS-CoV-2 transmission in Australia
FM Shearer, JM McCaw, GE Ryan, T Hao, NJ Tierney, MJ Lydeamore, ...
Epidemics 47, 100764, 2024
72024
Estimating measures to reduce the transmission of SARS-CoV-2 in Australia to guide a ‘National Plan’to reopening
GE Ryan, FM Shearer, JM McCaw, J McVernon, N Golding
Epidemics 47, 100763, 2024
62024
Investigation of P. Vivax Elimination via Mass Drug Administration
MN Anwar, JM McCaw, AE Zarebski, RI Hickson, JA Flegg
arXiv preprint arXiv:2405.20619, 2024
2024
Investigation of P. Vivax Elimination via Mass Drug Administration
M Nurul Anwar, JM McCaw, AE Zarebski, RI Hickson, JA Flegg
arXiv e-prints, arXiv: 2405.20619, 2024
2024
How immune dynamics shape multi-season epidemics: a continuous-discrete model in one dimensional antigenic space
MG Roberts, RI Hickson, JM McCaw
Journal of Mathematical Biology 88 (4), 48, 2024
2024
Characterisation of Plasmodium vivax lactate dehydrogenase dynamics in P. vivax infections
P Cao, S Kho, MJ Grigg, BE Barber, KA Piera, T William, ...
Communications Biology 7 (1), 355, 2024
2024
Mathematical models of Plasmodium vivax transmission: A scoping review
MN Anwar, L Smith, A Devine, S Mehra, CR Walker, E Ivory, E Conway, ...
PLOS Computational Biology 20 (3), e1011931, 2024
22024
Key challenges for respiratory virus surveillance while transitioning out of acute phase of COVID-19 pandemic
O Eales, MJ Plank, BJ Cowling, BP Howden, AJ Kucharski, SG Sullivan, ...
Emerging Infectious Diseases 30 (2), 2024
52024
Temporal trends in test-seeking behaviour during the COVID-19 pandemic
O Eales, M Teo, DJ Price, T Hao, GE Ryan, KL Senior, S Carlson, ...
medRxiv, 2024.06. 06.24308566, 2024
2024
Biases in routine influenza surveillance indicators used to monitor infection incidence and recommendations for improvement
O Eales, JM McCaw, FM Shearer
medRxiv, 2024.06. 05.24308517, 2024
2024
Optimal timing of booster doses in a highly vaccinated population with minimal natural exposure to COVID-19
E Conway, C Walker, M Lydeamore, N Golding, G Ryan, D Mavec, ...
medRxiv, 2024.05. 14.24307386, 2024
2024
Quantifying the impact of contact tracing interview prioritisation strategies on disease transmission
LB Wu, CB Baker, N Tierney, K Carville, J McVernon, J McCaw, N Golding, ...
medRxiv, 2024.04. 30.24306519, 2024
2024
Border quarantine, vaccination and public health measures to mitigate the impact of COVID-19 importations: a modelling study
MJ Lydeamore, C Zachreson, E Conway, FM Shearer, C Baker, J Ross, ...
medRxiv, 2024.04. 22.24305704, 2024
2024
Superinfection and the hypnozoite reservoir for Plasmodium vivax: a general framework
S Mehra, JM McCaw, PG Taylor
Journal of Mathematical Biology 88 (1), 7, 2024
32024
Seasonality as a driver of pH1N12009 influenza vaccination campaign impact
KJ Bolton, JM McCaw, MP Dafilis, J McVernon, JM Heffernan
Epidemics 45, 100730, 2023
2023
Improving estimates of waning immunity rates in stochastic SIRS models with a hierarchical framework
P Alahakoon, JM McCaw, PG Taylor
Infectious Disease Modelling 8 (4), 1127-1137, 2023
52023
How effective were Australian Quarantine Stations in mitigating transmission aboard ships during the influenza pandemic of 1918-19?
P Alahakoon, PG Taylor, JM McCaw
PLOS Computational Biology 19 (11), e1011656, 2023
2023
Spatial information allows inference of the prevalence of direct cell-to-cell viral infection
T Williams, JM McCaw, J Osborne
arXiv preprint arXiv:2310.19481, 2023
2023
Individual variation in vaccine immune response can produce bimodal distributions of protection
C Zachreson, R Tobin, J Szanyi, C Walker, D Cromer, FM Shearer, ...
Vaccine 41 (45), 6630-6636, 2023
22023
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