Modelling the impact of hybrid immunity on future COVID-19 epidemic waves.
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| Title: | Modelling the impact of hybrid immunity on future COVID-19 epidemic waves. |
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| Authors: | Le TP; School of Mathematics and Statistics, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia. tk.le@unimelb.edu.au.; Melbourne Centre for Data Science, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia. tk.le@unimelb.edu.au.; Centre of Excellence for Biosecurity Risk Analysis, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia. tk.le@unimelb.edu.au., Abell I; School of Mathematics and Statistics, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia.; Melbourne Centre for Data Science, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia., Conway E; Population Health & Immunity Division, Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Melbourne, 3052, Victoria, Australia., Campbell PT; Department of Infectious Diseases at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, 792 Elizabeth St, Melbourne, 3000, Victoria, Australia.; Melbourne School of Population and Global Health, The University of Melbourne, Bouverie St, Carlton, 3053, Victoria, Australia., Hogan AB; School of Population Health, University of New South Wales, Sydney, 2033, New South Wales, Australia.; MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, Exhibition Road, London, SW7 2AZ, United Kingdom., Lydeamore MJ; Department of Econometrics and Business Statistics, Monash University, Wellington Road, Melbourne, 3800, Victoria, Australia., McVernon J; Department of Infectious Diseases at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, 792 Elizabeth St, Melbourne, 3000, Victoria, Australia.; Victorian Infectious Diseases Reference Laboratory Epidemiology Unit, The Royal Melbourne Hospital at the Peter Doherty Institute for Infection and Immunity, 792 Elizabeth St, Melbourne, 3000, Victoria, Australia., Mueller I; Population Health & Immunity Division, Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Melbourne, 3052, Victoria, Australia.; Department of Medical Biology, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia., Walker CR; School of Mathematics and Statistics, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia., Baker CM; School of Mathematics and Statistics, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia.; Melbourne Centre for Data Science, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia.; Centre of Excellence for Biosecurity Risk Analysis, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia. |
| Source: | BMC infectious diseases [BMC Infect Dis] 2024 Apr 16; Vol. 24 (1), pp. 407. Date of Electronic Publication: 2024 Apr 16. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100968551 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2334 (Electronic) Linking ISSN: 14712334 NLM ISO Abbreviation: BMC Infect Dis Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1471-2334 |
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| DOI: | 10.1186/s12879-024-09282-4 |
