Making Predictions Using Poorly Identified Mathematical Models.

Autor: Simpson MJ; School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia. matthew.simpson@qut.edu.au., Maclaren OJ; Department of Engineering Science and Biomedical Engineering, University of Auckland, Auckland, New Zealand.

Publikováno v: Bulletin of mathematical biology [Bull Math Biol] 2024 May 27; Vol. 86 (7), pp. 80. Date of Electronic Publication: 2024 May 27.

The impact of Covid-19 vaccination in Aotearoa New Zealand: A modelling study.

Autor: Datta S; Population Modelling group, National Institute of Water and Atmospheric Research, Wellington, New Zealand., Vattiato G; School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand; Manaaki Whenua, Lincoln, New Zealand., Maclaren OJ; Department of Engineering Science, University of Auckland, Auckland, New Zealand., Hua N; Precision Driven Health, Auckland, New Zealand., Sporle A; Department of Statistics, University of Auckland, Auckland, New Zealand; iNZight Analytics Ltd., Auckland, New Zealand., Plank MJ; School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand. Electronic address: michael.plank@canterbury.ac.nz.

Publikováno v: Vaccine [Vaccine] 2024 Feb 27; Vol. 42 (6), pp. 1383-1391. Date of Electronic Publication: 2024 Feb 02.

Implementing measurement error models with mechanistic mathematical models in a likelihood-based framework for estimation, identifiability analysis and prediction in the life sciences.

Autor: Murphy RJ; School of Mathematics and Statistics, The University of Melbourne, Parkville, Victoria, Australia., Maclaren OJ; Department of Engineering Science and Biomedical Engineering, University of Auckland, Auckland, New Zealand., Simpson MJ; Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.

Publikováno v: Journal of the Royal Society, Interface [J R Soc Interface] 2024 Jan; Vol. 21 (210), pp. 20230402. Date of Electronic Publication: 2024 Jan 31.

Likelihood-based estimation and prediction for a measles outbreak in Samoa.

Autor: Wu D; Department of Engineering Science, University of Auckland, Grafton, Auckland, 1010, New Zealand., Petousis-Harris H; Department of General Practice and Primary Health Care, University of Auckland, Grafton, Auckland, 1023, New Zealand., Paynter J; Department of General Practice and Primary Health Care, University of Auckland, Grafton, Auckland, 1023, New Zealand., Suresh V; Department of Engineering Science, University of Auckland, Grafton, Auckland, 1010, New Zealand.; Auckland Bioengineering Institute, University of Auckland, Grafton, Auckland, 1010, New Zealand., Maclaren OJ; Department of Engineering Science, University of Auckland, Grafton, Auckland, 1010, New Zealand.

Publikováno v: Infectious Disease Modelling [Infect Dis Model] 2023 Feb 03; Vol. 8 (1), pp. 212-227. Date of Electronic Publication: 2023 Feb 03 (Print Publication: 2023).

Sensitivity of Reverse Transcription Polymerase Chain Reaction Tests for Severe Acute Respiratory Syndrome Coronavirus 2 Through Time.

Autor: Binny RN; Manaaki Whenua-Landcare Research, Lincoln, New Zealand.; Te Pūnaha Matatini, Centre of Research Excellence in Complex Systems, Auckland, New Zealand., Priest P; Department of Preventive and Social Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand., French NP; Tāwharau Ora/School of Veterinary Science, Massey University, Palmerson North, New Zealand., Parry M; Te Pūnaha Matatini, Centre of Research Excellence in Complex Systems, Auckland, New Zealand.; Department of Mathematics and Statistics, University of Otago, Dunedin, New Zealand., Lustig A; Manaaki Whenua-Landcare Research, Lincoln, New Zealand.; Te Pūnaha Matatini, Centre of Research Excellence in Complex Systems, Auckland, New Zealand., Hendy SC; Te Pūnaha Matatini, Centre of Research Excellence in Complex Systems, Auckland, New Zealand.; Department of Physics, University of Auckland, Auckland, New Zealand., Maclaren OJ; Department of Engineering Science, University of Auckland, Auckland, New Zealand., Ridings KM; Te Pūnaha Matatini, Centre of Research Excellence in Complex Systems, Auckland, New Zealand.; Department of Physics, University of Auckland, Auckland, New Zealand., Steyn N; Te Pūnaha Matatini, Centre of Research Excellence in Complex Systems, Auckland, New Zealand.; Department of Physics, University of Auckland, Auckland, New Zealand.; Department of Statistics, University of Oxford, Oxford, United Kingdom., Vattiato G; Te Pūnaha Matatini, Centre of Research Excellence in Complex Systems, Auckland, New Zealand.; Department of Physics, University of Auckland, Auckland, New Zealand.; School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand., Plank MJ; Te Pūnaha Matatini, Centre of Research Excellence in Complex Systems, Auckland, New Zealand.; School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand.

Publikováno v: The Journal of infectious diseases [J Infect Dis] 2022 Dec 28; Vol. 227 (1), pp. 9-17.