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Anthony T. Newall
Researcher at University of New South Wales
Publications - 98
Citations - 4892
Anthony T. Newall is an academic researcher from University of New South Wales. The author has contributed to research in topics: Cost effectiveness & Vaccination. The author has an hindex of 30, co-authored 94 publications receiving 3733 citations. Previous affiliations of Anthony T. Newall include University of Sydney & Children's Medical Research Institute.
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Effective determinants for supporting lifestyle health literacy and self management skills in primary care
Mark Harris,Jane Taggart,Anna Williams,Sarah Dennis,Anthony T. Newall,Tim Shortus,Elizabeth Denney-Wilson,Nicholas Zwar +7 more
TL;DR: This review focuses on improving health literacy in the management of the SNAPW (Smoking, Nutrition, Alcohol, Physical Activity and Weight) lifestyle risk factors.
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Cost-effectiveness of statins for primary prevention of atherosclerotic cardiovascular disease among people living with HIV in the United States
David C Boettiger,Anthony T. Newall,Andrew N. Phillips,Eran Bendavid,Matthew Law,Lene Ryom,Peter Reiss,Amanda Mocroft,Fabrice Bonnet,Rainer Weber,Wafaa El-Sadr,Antonella d'Arminio Monforte,Stéphane De Wit,Christian Pradier,Camilla Ingrid Hatleberg,Jens D Lundgren,Caroline A. Sabin,James G. Kahn,Dhruv S. Kazi,Dhruv S. Kazi +19 more
TL;DR: In this article, the authors evaluated the cost-effectiveness of pravastatin and pitavastatin for the primary prevention of atherosclerotic cardiovascular disease among people living with HIV in the United States.
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Rotavirus Vaccination Likely to Be Cost Saving to Society in the United States.
Anthony T. Newall,Robert Neil F. Leong,Josephine F. Reyes,Aaron T. Curns,Jessica M. Rudd,Jacqueline E. Tate,Kristine Macartney,Umesh D. Parashar +7 more
TL;DR: In this article, an age-specific, static, multicohort compartmental model was applied to examine the impact and cost-effectiveness of the US rotavirus immunization program in children.
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Rapid mapping of the spatial and temporal intensity of influenza
TL;DR: A simple but statistically sound adaptive method of mapping epidemic evolution over space and time using the epidemic of influenza type A in 2016 in Australia is demonstrated, which could improve local level epidemic intelligence in a variety of settings and for other diseases.
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Influenza-associated mortality in Australia, 2010 through 2019: High modelled estimates in 2017.
TL;DR: In this article, the authors used time series modelling to obtain estimates of influenza-associated death rates for influenza A(H1N1)pdm09, A (H3N2) and B in Australia, in persons of all ages and <65, 65-74 and ≥75 years.