Sydney Harbour (2)

EPIC attends ISVEE17

Featured:
ISVEE17 Conference | 11-15 November 2024
ICC Sydney, Australia

EPIC scientists will be speaking and presenting posters on their latest work at the International Symposium on Veterinary Epidemiology and Economics: ISVEE17 Conference. The veterinary epidemiology and economics community of Australia and New Zealand has a long history of contribution, and remains a global powerhouse of the discipline. From the first ISVEE held in Australia in 1979, this emerging discipline quickly found fertile soil in the region, flowering to become a foundation of teaching and research, guiding policy formulation and decision-making, and contributing to the improvement of our society.

For more details please visit the ISVEE17 website

 

EPIC Posters and Presentations at ISVEE17

11 Nov, 14.00-15.30 - Epidemiological Principles | Poster

Title: Untangling the spread of African Swine Fever virus using whole-genome sequencing coupled with environmental and demographic factors. Authors: Gianluigi Rossi, Jake Graham, Samantha Lycett. Presenter: Gianluigi Rossi

 

11 Nov, 14.00-15.30 - Pandemic Response | Poster

Title: Carcass collection in outbreaks of highly pathogenic avian influenza in wild birds: does it make a difference? Authors: Katie Adam, Davide Pagnossin, Harriet Auty, Lucy Gilbert, Sibylle Mohr, Kimberly Lyons, Chrysa Lamprinopoulou, Lisa Boden. Presenter: Davide Pagnossin

 

11 Nov, 16.00-17.30 - Pandemic Response | Poster

Title: IPAR: A framework for modelling disease spread when the populations at risk are unknown. Authors: Stephen Catterall, Glenn Marion, Thibaud Porphyre. Presenter: Stephen Catterall

 

12 Nov, 16.00-17.30 - Epi in a Socially Connected World | Presentation

Title: “Communication Networks In The Livestock Sector: How Do Farmers Receive Animal Health And Disease Related Information?” Speakers: Maria Costa and John Berezowski

 

14 Nov, 10.45-11.00 - Epidemiological Principles | Presentation

Title: Multivariate time Series: Application to The analyses of data from animal disease surveillance system. Speaker: Jude Eze

 

14 Nov, 14.00-15.30 - Epidemiological principles | Presentation

Title: Can we predict human cases from livestock cases? - understanding the link between livestock and human cryptosporidiosis”. Speaker: Jude Eze

 

14 Nov, 16.00-17.30 - Simulation Models of HPAI | Presentation

Title: Predictors and predictability of Highly Pathogenic Avian Influenza spread and reassortment using genomics – AI for AI? Speaker: Samantha Lycett

 

14 Nov, 16.00 17.30 - Epi in a Socially Connected World | Poster

Title: Integrating Epidemiology With Social Science To Revisit Traditional Island Work Practices For Sheep Scab Control In Scotland: The Benefits. Authors: Claire Hardy, Niamh Mahon, Julie Stirling, Sue C. Tongue and Stewart Burgess.

 

14 Nov, 16.00-17.30 - Specific Species: Cattle/Sheep | Presentation

Title: The Role of Markets and Regional Variation in Sheep Movements in Scotland. Authors: Dr. Julie M. Stirling, Dr. Andrew J. Duncan and Dr. Sue C. Tongue.

 

Additional Posters and Presentations (Dates TBC)

Title: Detecting Livestock Diseases Early: Insights from A Syndromic Surveillance Workshop To Inform Scotland's National Strategy. Authors: Jorge Rivera-Gomis, Ian Hutchinson, Gianluigi Rossi, Maria Costa, John Berezowski.

Title: Projecting the effect of climate change on the risk of incursion for of exotic animal diseases into Scotland. Authors: Teresita Suarez Noguez, Lucy Gilbert, Lu Lu, Samantha Lycett, Anna Gamza.

Title: Network analysis to model the spread of a disease in the Scottish pig industry. Authors: Teresita Suarez Noguez, Samantha Lycett, Thibaud Porphyre, Gianluigi Rossi.

Title: A data-driven approach for identifying high-risk farms for livestock disease in Scotland. Authors: Sibylle Mohr, Theo Pepler, Harriet Auty.

 

See the full program on the ISVEE17 website.

Maria Costa Bw 2

Dr Maria Costa

Veterinary Epidemiologist,

SRUC

Jude Eze Colourizedv4

Dr Jude Eze

Statistician, Spatial Epidemiology,

SRUC

Drsamlycett Colourized

Prof. Sam Lycett

Molecular Epidemiologist and Phylodynamic Modeller ,

Roslin