Z
Zanfina Ademi
Researcher at Monash University
Publications - 186
Citations - 33911
Zanfina Ademi is an academic researcher from Monash University. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 22, co-authored 137 publications receiving 26399 citations. Previous affiliations of Zanfina Ademi include University of Basel & Alfred Hospital.
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Journal ArticleDOI
Estimating Australian hospitalisation ratios and costs for wildtype SARS-CoV-2 in 2020.
TL;DR: In this paper , a retrospective cohort study of SARS-CoV-2 wildtype (Wuhan) strain was used to estimate the hospitalisation demand and inpatient hospital costs associated with treatment.
Population Genomic Screening of Young Adults for Familial Hypercholesterolaemia: A Cost-Effectiveness Analysis
Paul Lacaze,Clara Marquina,Jane Tiller,Munaza Riaz,A. S. Sturm,M. Nelson,Brain A. Ference,John L. Pang,G.F. Watts,Serena L. Nicholls,Sophia Zoungas,Danny Liew,John J McNeil,Zanfina Ademi +13 more
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Projecting the Health and Economic Burden of Cardiovascular Disease Among People with Type 2 Diabetes, 2022–2031
D. Abushanab,Clara Marquina,Jedidiah I. Morton,Daoud Al-Badriyeh,Melanie Lloyd,Dianna J. Magliano,Danny Liew,Zanfina Ademi +7 more
TL;DR: In this article , a dynamic multistate model with yearly cycles was developed to project cardiovascular events among Australians with type 2 diabetes aged 40-89 years from 2022 to 2031.
Journal ArticleDOI
EPH81 The Productivity Burden of Sleep Apnoea in Australia Over a Lifetime: A Modelling Study
TL;DR: In this paper , the productivity burden of obstructive sleep apnoea (OSA) in Australia using productivity-adjusted life year (PALY) was determined using a productivity-based method.
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Treatment costs for patients with Streptococcus suis infection in Northern Thailand: a hospital-based observational study of 14-year data
TL;DR: In this paper , the authors used generalized linear models (GLMs) to forecast costs model and identify determinants of costs associated with S.suis treatment in Thailand and identify key drivers affecting high treatment costs from the provider's perspective.