| Coronavirus Disease Model to Inform Transmission-Reducing Measures and Health System Preparedness, Australia R Moss, J Wood, D Brown, FM Shearer, AJ Black, K Glass, AC Cheng, ... Emerging Infectious Diseases 26 (12), 2844, 2020 | 100* | 2020 |
| Infectious disease pandemic planning and response: Incorporating decision analysis. FM Shearer, R Moss, J McVernon, JV Ross, JM McCaw PLoS medicine 17 (1), e1003018, 2020 | 98 | 2020 |
| Early analysis of the Australian COVID-19 epidemic DJ Price, FM Shearer, MT Meehan, E McBryde, R Moss, N Golding, ... Elife 9, e58785, 2020 | 89 | 2020 |
| Optimal timing of influenza vaccine during pregnancy: A systematic review and meta‐analysis W Cuningham, N Geard, JE Fielding, S Braat, SA Madhi, MC Nunes, ... Influenza and Other Respiratory Viruses, 2019 | 73 | 2019 |
| Innate immunity and the inter-exposure interval determine the dynamics of secondary influenza virus infection and explain observed viral hierarchies P Cao, AWC Yan, JM Heffernan, S Petrie, RG Moss, LA Carolan, ... PLoS computational biology 11 (8), e1004334, 2015 | 61 | 2015 |
| Forecasting influenza outbreak dynamics in Melbourne from Internet search query surveillance data R Moss, A Zarebski, P Dawson, JM McCaw Influenza and other respiratory viruses 10 (4), 314-323, 2016 | 43 | 2016 |
| Hormonal regulation of salt and water excretion: a mathematical model of whole kidney function and pressure natriuresis R Moss, SR Thomas American Journal of Physiology-Renal Physiology 306 (2), F224-F248, 2014 | 43 | 2014 |
| Influencing public health policy with data-informed mathematical models of infectious diseases: Recent developments and new challenges A Alahmadi, B Belet, AJ Black, D Cromer, JA Flegg, T House, ... Epidemics 32, 100393, 2020 | 41 | 2020 |
| Likely effectiveness of pharmaceutical and non-pharmaceutical interventions for mitigating influenza virus transmission in Mongolia KJ Bolton, JM McCaw, R Moss, RS Morris, S Wang, A Burma, B Darma, ... Bulletin of the World Health Organization 90 (4), 264-271, 2012 | 41 | 2012 |
| What can urban mobility data reveal about the spatial distribution of infection in a single city? R Moss, E Naghizade, M Tomko, N Geard BMC public health 19 (1), 656, 2019 | 35 | 2019 |
| Accounting for healthcare-seeking behaviours and testing practices in real-time influenza forecasts R Moss, AE Zarebski, SJ Carlson, JM McCaw Tropical Medicine and Infectious Disease 4 (1), 12, 2019 | 34 | 2019 |
| Proportional multistate lifetable modelling of preventive interventions: concepts, code and worked examples T Blakely, R Moss, J Collins, A Mizdrak, N Carvalho, N Wilson, N Geard, ... International Journal of Epidemiology, 2020 | 33 | 2020 |
| Virtual patients and sensitivity analysis of the Guyton model of blood pressure regulation: towards individualized models of whole-body physiology R Moss, T Grosse, I Marchant, N Lassau, F Gueyffier, SR Thomas PLoS computational biology 8 (6), e1002571, 2012 | 32 | 2012 |
| Retrospective forecasting of the 2010–2014 Melbourne influenza seasons using multiple surveillance systems R Moss, A Zarebski, P Dawson, JM McCAW Epidemiology & Infection 145 (1), 156-169, 2017 | 30 | 2017 |
| Diagnosis and antiviral intervention strategies for mitigating an influenza epidemic R Moss, JM McCaw, J McVernon PLoS One 6 (2), e14505, 2011 | 29 | 2011 |
| Dominant factors that govern pressure natriuresis in diuresis and antidiuresis: a mathematical model R Moss, AT Layton American Journal of Physiology-Renal Physiology 306 (9), F952-F969, 2014 | 28 | 2014 |
| Integration of detailed modules in a core model of body fluid homeostasis and blood pressure regulation AI Hernández, V Le Rolle, D Ojeda, P Baconnier, J Fontecave-Jallon, ... Progress in biophysics and molecular biology 107 (1), 169-182, 2011 | 28 | 2011 |
| Epidemic forecasts as a tool for public health: interpretation and (re) calibration R Moss, JE Fielding, LJ Franklin, N Stephens, J McVernon, P Dawson, ... Australian and New Zealand journal of public health 42 (1), 69-76, 2018 | 26 | 2018 |
| Model selection for seasonal influenza forecasting AE Zarebski, P Dawson, JM McCaw, R Moss Infectious Disease Modelling 2 (1), 56-70, 2017 | 25 | 2017 |
| Model-Informed Risk Assessment and Decision Making for an Emerging Infectious Disease in the Asia-Pacific Region R Moss, RI Hickson, J McVernon, JM McCaw, K Hort, J Black, JR Madden, ... PLOS Neglected Tropical Diseases 10 (9), e0005018, 2016 | 19 | 2016 |
James M McCawProfessor of Mathematical Biology, School of Mathematics and Statistics, University of Melbourne在 unimelb.edu.au 的电子邮件经过验证
