Cesar A Corzo
Associate Professor
Leman Chair in Swine Health and Productivity
Leman Conference
St. Paul, September 17th, 2018
Morrison Swine Health Monitoring Program Team
Faculty
• B. Morrison✝
• C. Corzo
• A. Perez
• M. Torremorell
• K. VanderWaal
and
• D. Linhares (ISU)
• D. Holtkamp (ISU)
• A. Arruda (OSU)
• Gustavo Machado (NCSU)
• J. Alvarez (Spain)
Students & postdocs
• Emily Geary (data manager)
• Carles Vilalta (data visualization)
• Juan Sanhueza (transport analysis)
• Paulo Fioravante (IT Director)
• Igor Paploski (sequence analysis)
• Kaushi Kanankege (spatial analysis)
• Belinda Befort (diagnostic trends)
Overall Project Objectives
• Long term
– To develop capacity to support industry response to
emerging pathogens
• Short term
– Deliver value to encourage participation:
• monitor disease incidence & prevalence
• supplement outbreak investigation
• understand implications of pig movement
Participation
• Voluntary
• 30 participants
– Production companies
– Regional control projects
• Sow herd level data
– Approximately 3 million sows in 1,000 sow herds
Arruda et al., 2017
Data
• Location
• Herdsize
• Weekly herd health status
– PRRS, PEDv, PDCoV
• PRRS – sequences/RFLP
• Transport data
– Specific projects
MSHMP
• Weekly report
MSHMP
• Weekly report
Benchmark SHMP data for
PRRS incidence, prevalence
& TTS.
Understand
antimicrobial
resistance data over
time & space
Plan transport routes, pig
placement & prevention plan
Outbreak Investigation –
understand potential source
and spread over time and
space
Acknowledgements
MSHMP
• If you would like to:
– join the project please le us know
– receive the public weekly report
corzo@umn.edu
shmp@umn.edu
Thank you for your attention!
umnswinenews.com
@UMN_swine_group
https://www.vetmed.umn.edu/centers-programs/swine-program

Dr. Cesar Corzo - Brief Update on MSHMP

  • 1.
    Cesar A Corzo AssociateProfessor Leman Chair in Swine Health and Productivity Leman Conference St. Paul, September 17th, 2018
  • 2.
    Morrison Swine HealthMonitoring Program Team Faculty • B. Morrison✝ • C. Corzo • A. Perez • M. Torremorell • K. VanderWaal and • D. Linhares (ISU) • D. Holtkamp (ISU) • A. Arruda (OSU) • Gustavo Machado (NCSU) • J. Alvarez (Spain) Students & postdocs • Emily Geary (data manager) • Carles Vilalta (data visualization) • Juan Sanhueza (transport analysis) • Paulo Fioravante (IT Director) • Igor Paploski (sequence analysis) • Kaushi Kanankege (spatial analysis) • Belinda Befort (diagnostic trends)
  • 3.
    Overall Project Objectives •Long term – To develop capacity to support industry response to emerging pathogens • Short term – Deliver value to encourage participation: • monitor disease incidence & prevalence • supplement outbreak investigation • understand implications of pig movement
  • 4.
    Participation • Voluntary • 30participants – Production companies – Regional control projects • Sow herd level data – Approximately 3 million sows in 1,000 sow herds Arruda et al., 2017
  • 5.
    Data • Location • Herdsize •Weekly herd health status – PRRS, PEDv, PDCoV • PRRS – sequences/RFLP • Transport data – Specific projects
  • 6.
  • 7.
  • 8.
    Benchmark SHMP datafor PRRS incidence, prevalence & TTS. Understand antimicrobial resistance data over time & space Plan transport routes, pig placement & prevention plan Outbreak Investigation – understand potential source and spread over time and space
  • 9.
  • 10.
    MSHMP • If youwould like to: – join the project please le us know – receive the public weekly report corzo@umn.edu shmp@umn.edu
  • 11.
    Thank you foryour attention! umnswinenews.com @UMN_swine_group https://www.vetmed.umn.edu/centers-programs/swine-program

Editor's Notes

  • #9 What is Tableau? What you can do? You can share it. Tableau is a drag and drop tool, that it can be connected directly to databases, such as SQL , or be connected in any data file in your computer with excel spreadsheets, csv or text files among others. This tool allows the user to do some filtering, integrated calculations and modifications while running the program without altering the original database. In this software you can combine variables and categories and create a wide range of visualizations, you can create scatterplots, bar charts, lines, pie charts, box plots and create also maps or filled maps and combine both maps and figures. In this visuals you can easily change the colors, sizes and add filters to those visualization to quickly aggregate and disaggregate the data to answer all the different questions that can come to your mind After seeing the data. And once you are done you can combine them in bigger presentations and link visualizations and databases between them and then with the same filter you can modify all the charts at the same time according to the filter. Finally, when you have finish you can upload them to the web and share it with other people.