L
Lidia Morawska
Researcher at Queensland University of Technology
Publications - 777
Citations - 132997
Lidia Morawska is an academic researcher from Queensland University of Technology. The author has contributed to research in topics: Particle number & Ultrafine particle. The author has an hindex of 100, co-authored 746 publications receiving 95412 citations. Previous affiliations of Lidia Morawska include University of Surrey & Jinan University.
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Journal ArticleDOI
Sources and dynamics of fluorescent particles in hospitals
Marcelo Luiz Pereira,Luke D. Knibbs,Luke D. Knibbs,Congrong He,Piotr Grzybowski,Piotr Grzybowski,Graham R. Johnson,J. A. Huffman,Scott C. Bell,Claire E. Wainwright,Claire E. Wainwright,Darlan Laurício Matte,Fábio Hech Dominski,Alexandro Andrade,Lidia Morawska +14 more
TL;DR: It is demonstrated that particles can be easily generated by a variety of everyday activities, which are potential sources of exposure to pathogens.
Road traffic emission and fuel consumption modelling: trends, new developments and future challenges
Journal ArticleDOI
Carbon dioxide emissions from diesel and compressed natural gas buses during acceleration
TL;DR: In this article, the results of time-dependant emission measurements conducted on diesel and compressed natural gas buses during an urban driving cycle on a chassis dynamometer were compared with that during steady speed operation.
Journal ArticleDOI
Volatile Properties of Particles Emitted by Compressed Natural Gas and Diesel Buses during Steady-State and Transient Driving Modes
TL;DR: It is suggested that these nonvolatile particles emitted by CNG and diesel buses were composed mostly of ash from lubricating oil, similar to those produced during hard acceleration from rest.
Posted ContentDOI
Quantitative assessment of the risk of airborne transmission of SARS-CoV-2 infection: prospective and retrospective applications
TL;DR: This study presents a novel approach for quantitative assessment of the individual infection risk of susceptible subjects exposed in indoor microenvironments in the presence of an asymptomatic infected SARS-CoV-2 subject, and shows that such outbreaks are likely explained by the co-existence of conditions, including emission and exposure parameters, leading to a highly probable event.