Author
Lidia Morawska
Other affiliations: University of Surrey, Jinan University, Thomas Jefferson University ...read more
Bio: 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.
Papers published on a yearly basis
Papers
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01 Jan 2017
TL;DR: In this article, it has been estimated that around 80% of ultrafine particles by number originate in motor vehicle emissions, but the new particle formation (NPF) rate has not been previously determined for Brisbane.
Abstract: Recent studies in Brisbane have shown that secondary particles make a significant contribution to the overall particle number concentration (PNC) in the atmosphere, with the peak PNC near mid-day being 32% greater than during the morning and afternoon rush hour traffic periods. While, it has been estimated that around 80% of ultrafine particles by number originate in motor vehicle emissions, the new particle formation (NPF) rate has not been previously determined for Brisbane. This is mainly because these particles form at a size of about 2 nm, which is significantly below the minimum detectable size of the PNC monitoring equipment that have been available...
01 Jan 2003
TL;DR: The results showed that the indoor air qualities of the residential houses, offices and hair dressing saloons were strongly dependent on their building designs, distances of the buildings from vehicular emission sources, indoor activities and presence of in-built garages as discussed by the authors.
Abstract: The multi-criteria decision-making procedures, PROMETHEE (Preference Ranking Organisation Method for Enrichment Evaluation) and GAIA (Geometrical Analysis for Interactive Aid), factor analysis (Varimax rotation), Fussy Clustering and Partial Least Squares (PLS) have been applied to indoor air quality data. PROMETHEE ranked the buildings on the basis air quality influencing criteria such as building characteristics, indoor levels of volatile organic compounds, polycyclic aromatic hydrocarbons, fungi, bacteria, submicrometre and supermicrometre particles. GAIA and factor analysis evaluated the relationships between building characteristics and air quality. The results showed that the indoor air qualities of the residential houses, offices and hair dressing saloons were strongly dependent on their building designs, distances of the buildings from vehicular emission sources, indoor activities and presence of in-built garages. However, association between indoor air quality and the age of a building was weak as was the association between air quality and Sick Building Syndrome (SBS) complaints. Striking similarities in the results obtained by the different multivariate procedures highlight the potential of such techniques for ranking information, source apportionment and development of control strategies for indoor air pollution.
01 Jan 2011
TL;DR: A comprehensive suite of particle instrumentation was deployed during five distinct nanotechnology processes across four workplaces to assess the relative importance of numerous measurement technologies in terms of quantifying worker exposure.
Abstract: An emerging appreciation of the toxicological characteristics of airborne nanoparticles (< 100 nm) (Maynard and Aitken, 2007) has resulted in a need for accurate methods of quantifying particle concentrations during nanotechnology processes. To contribute towards addressing this, we deployed a comprehensive suite of particle instrumentation during five distinct nanotechnology processes across four workplaces. The aim of this was to assess the relative importance of numerous measurement technologies in terms of quantifying worker exposure.
01 Jan 2002
TL;DR: In this paper, the authors describe the feeling of distance and space when flying across the oceans separating the continents of the Southern Hemisphere, and the effect of human problems and the catastrophic effects of human actions on a grand scale.
Abstract: Flying across the oceans separating the continents of the Southern Hemisphere the traveller often develops almost a physical feeling of distance and space. However, it is not only nature that astonishes with its grandness Down Under: human problems and the catastrophic effects of human actions are on a grand scale as well. These include air pollution and its two major sources: fires and motor vehicles. It is not an uncommon, but often frightening view travelling somewhere between Australia and Asia to be surrounded by a large plume of smoke hiding the sun that should normally shine through the window when flying at these altitudes. At the same time blue sky is an uncommon view over most megacities of the Southern Hemisphere.
01 Jan 2002
TL;DR: In this article, the authors investigated the relationship between traffic flow and meteorological variables and particle concentrations and found that there is a strong correlation between the two variables and the particle concentrations.
Abstract: Air quality impacts of urban transportation policies and strategies are often assessed using modelling techniques based on traffic flow simulation and travel demand analysis tools Such analytical methods have traditionally been aimed at estimating the overall mass of individual pollutants with an emphasis on gaseous emissions Significantly less attention is usually given to the quantification of particle emissions Extensive data relating to fine and ultra-fine airborne particle concentration levels and the corresponding contributing vehicles have been collected at two significantly different Brisbane sites Analysis of the relationships between the data so far point to a strong correlation between traffic flow and meteorological variables and particle concentrations
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TL;DR: Authors/Task Force Members: Piotr Ponikowski* (Chairperson) (Poland), Adriaan A. Voors* (Co-Chair person) (The Netherlands), Stefan D. Anker (Germany), Héctor Bueno (Spain), John G. F. Cleland (UK), Andrew J. S. Coats (UK)
13,400 citations
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2010 aimed to estimate annual deaths for the world and 21 regions between 1980 and 2010 for 235 causes, with uncertainty intervals (UIs), separately by age and sex, using the Cause of Death Ensemble model.
11,809 citations
Theo Vos1, Amanuel Alemu Abajobir, Kalkidan Hassen Abate2, Cristiana Abbafati3 +775 more•Institutions (305)
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016.
10,401 citations
TL;DR: In this paper, the authors estimated deaths and disability-adjusted life years (DALYs; sum of years lived with disability [YLD] and years of life lost [YLL]) attributable to the independent effects of 67 risk factors and clusters of risk factors for 21 regions in 1990 and 2010.
9,324 citations
University of Washington1, Sapienza University of Rome2, Mekelle University3, University of Texas at San Antonio4, King Saud bin Abdulaziz University for Health Sciences5, Debre markos University6, Emory University7, University of Oxford8, University of Cartagena9, United Nations Population Fund10, University of Birmingham11, Stanford University12, Aga Khan University13, University of Melbourne14, National Taiwan University15, University of Cambridge16, University of California, San Diego17, Public Health Foundation of India18, Public Health England19, University of Peradeniya20, Harvard University21, National Institutes of Health22, Tehran University of Medical Sciences23, Auckland University of Technology24, University of Sheffield25, University of Western Australia26, Karolinska Institutet27, Birzeit University28, Brandeis University29, American Cancer Society30, Ochsner Medical Center31, Yonsei University32, University of Bristol33, Heidelberg University34, Vanderbilt University35, South African Medical Research Council36, Jordan University of Science and Technology37, New Generation University College38, Northeastern University39, Simmons College40, Norwegian Institute of Public Health41, Boston University42, Chinese Center for Disease Control and Prevention43, University of Bari44, University of São Paulo45, University of Otago46, University of Crete47, International Centre for Diarrhoeal Disease Research, Bangladesh48, Fred Hutchinson Cancer Research Center49, Teikyo University50, Bhabha Atomic Research Centre51, University of Tokyo52, Finnish Institute of Occupational Health53, Heriot-Watt University54, University of Alabama at Birmingham55, Griffith University56, National Center for Disease Control and Public Health57, University of California, Irvine58, Johns Hopkins University59, New York University60, University of Queensland61, Universidade Federal de Minas Gerais62, National Research University – Higher School of Economics63, University of Bergen64, Columbia University65, Shandong University66, University of North Carolina at Chapel Hill67, Fujita Health University68, Korea University69, Chongqing Medical University70, Zhejiang University71
TL;DR: The global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013 is estimated using a spatiotemporal Gaussian process regression model to estimate prevalence with 95% uncertainty intervals (UIs).
9,180 citations