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Environmental Entomology
|
February 12, 2010
Difference in mosquito species (Diptera: Culicidae) and the transmission of Ross River virus between coastline and inland areas in Brisbane, Australia
W Hu, K Mengersen, P Dale, et al.
The Journal of Hospital Infection
|
August 10, 2010
Limiting risk of hospital adverse events: avoiding train wrecks is more important than counting and reporting them
A Morton, D Cook, K Mengersen, et al.
Tropical Medicine & International Health : TM & IH
|
April 13, 2011
Spatial and temporal clusters of Barmah Forest virus disease in Queensland, Australia
S Naish, W Hu, K Mengersen, et al.
Epidemiology and Infection
|
June 20, 2006
Time-series analysis of the risk factors for haemorrhagic fever with renal syndrome: comparison of statistical models
W Hu, K Mengersen, P Bi, et al.
Epidemiology and Infection
|
October 30, 2018
Bayesian spatial and spatio-temporal approaches to modelling dengue fever: a systematic review
A Aswi, S M Cramb, P Moraga, et al.
The Journal of Hospital Infection
|
July 27, 2010
Sequential analysis of uncommon adverse outcomes
A Morton, K Mengersen, M Waterhouse, et al.
Conservation Biology : the Journal of the Society for Conservation Biology
|
May 3, 2017
Using a Bayesian network to clarify areas requiring research in a host-pathogen system
D S Bower, K Mengersen, R A Alford, et al.
Pathology
|
September 30, 2006
Evaluation of oestrogen and progesterone receptor status in HER-2 positive breast carcinomas and correlation with outcome
Glenn Francis, Geoffrey Beadle, S Thomas, et al.
The Journal of Hospital Infection
|
April 5, 2011
Role of overcrowding in meticillin-resistant Staphylococcus aureus transmission: Bayesian network analysis for a single public hospital
M Waterhouse, A Morton, K Mengersen, et al.
Journal of Environmental Management
|
December 31, 2013
Creating a Sustainability Scorecard as a predictive tool for measuring the complex social, economic and environmental impacts of industries, a case study: assessing the viability and sustainability of the dairy industry
L Buys, K Mengersen, S Johnson, et al.
Page
of 4
Search research articles
Search
Showing results (11-20 of 33) with videos related to
Sort By:
Page
of 4
Environmental Entomology
|
February 12, 2010
Difference in mosquito species (Diptera: Culicidae) and the transmission of Ross River virus between coastline and inland areas in Brisbane, Australia
W Hu, K Mengersen, P Dale, et al.
The Journal of Hospital Infection
|
August 10, 2010
Limiting risk of hospital adverse events: avoiding train wrecks is more important than counting and reporting them
A Morton, D Cook, K Mengersen, et al.
Tropical Medicine & International Health : TM & IH
|
April 13, 2011
Spatial and temporal clusters of Barmah Forest virus disease in Queensland, Australia
S Naish, W Hu, K Mengersen, et al.
Epidemiology and Infection
|
June 20, 2006
Time-series analysis of the risk factors for haemorrhagic fever with renal syndrome: comparison of statistical models
W Hu, K Mengersen, P Bi, et al.
Epidemiology and Infection
|
October 30, 2018
Bayesian spatial and spatio-temporal approaches to modelling dengue fever: a systematic review
A Aswi, S M Cramb, P Moraga, et al.
The Journal of Hospital Infection
|
July 27, 2010
Sequential analysis of uncommon adverse outcomes
A Morton, K Mengersen, M Waterhouse, et al.
Conservation Biology : the Journal of the Society for Conservation Biology
|
May 3, 2017
Using a Bayesian network to clarify areas requiring research in a host-pathogen system
D S Bower, K Mengersen, R A Alford, et al.
Pathology
|
September 30, 2006
Evaluation of oestrogen and progesterone receptor status in HER-2 positive breast carcinomas and correlation with outcome
Glenn Francis, Geoffrey Beadle, S Thomas, et al.
The Journal of Hospital Infection
|
April 5, 2011
Role of overcrowding in meticillin-resistant Staphylococcus aureus transmission: Bayesian network analysis for a single public hospital
M Waterhouse, A Morton, K Mengersen, et al.
Journal of Environmental Management
|
December 31, 2013
Creating a Sustainability Scorecard as a predictive tool for measuring the complex social, economic and environmental impacts of industries, a case study: assessing the viability and sustainability of the dairy industry
L Buys, K Mengersen, S Johnson, et al.
Page
of 4