Ensemble forecasts of COVID-19 activity to support Australia's pandemic response: 2020-22.
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| Title: | Ensemble forecasts of COVID-19 activity to support Australia's pandemic response: 2020-22. |
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| Authors: | Moss R; Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia., Tobin RJ; Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia., O'Hara-Wild M; Department of Econometrics and Business Statistics, Monash University, Melbourne, Victoria, Australia., Adekunle AI; Defence Science and Technology Group, Melbourne, Victoria, Australia., Liu D; School of Computer and Mathematical Sciences, The University of Adelaide, Adelaide, South Australia, Australia., South T; School of Computer and Mathematical Sciences, The University of Adelaide, Adelaide, South Australia, Australia., Morris DJ; School of Computer and Mathematical Sciences, The University of Adelaide, Adelaide, South Australia, Australia., Ryan GE; Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.; The Kids Research Institute Australia, Perth, Western Australia, Australia., Hao T; Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.; The Kids Research Institute Australia, Perth, Western Australia, Australia., Babu A; The Kids Research Institute Australia, Perth, Western Australia, Australia., Senior KL; Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.; The Kids Research Institute Australia, Perth, Western Australia, Australia., Wood JG; School of Population Health, University of New South Wales, Sydney, New South Wales, Australia., Golding N; The Kids Research Institute Australia, Perth, Western Australia, Australia.; School of Physics, Mathematics and Computing, University of Western Australia, Perth, Western Australia, Australia., Ross JV; Department for Health and Wellbeing, Government of South Australia, Adelaide, South Australia, Australia.; South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia., Dawson P; Sensors and Effectors Division, Defence Science and Technology Group, Department of Defence, Melbourne, Victoria, Australia., Hyndman RJ; Department of Econometrics and Business Statistics, Monash University, Melbourne, Victoria, Australia., Price DJ; Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.; Department of Infectious Diseases, The Peter Doherty Institute for Infection and Immunity, The Royal Melbourne Hospital and The University of Melbourne, Melbourne, Victoria, Australia., McCaw JM; Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.; School of Mathematics and Statistics, The University of Melbourne, Melbourne, Victoria, Australia., Shearer FM; Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.; The Kids Research Institute Australia, Perth, Western Australia, Australia. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2026 Apr 22; Vol. 22 (4), pp. e1014199. Date of Electronic Publication: 2026 Apr 22 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1014199 |
