Dr. Shweta Bansal - Modeling Emerging Disease in the US Swine Herd
Transcript of Dr. Shweta Bansal - Modeling Emerging Disease in the US Swine Herd
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Modeling Emerging Disease in the U.S. Swine Herd
Shweta BansalAssistant Professor of Biology, Georgetown University
Faculty Fellow, National Institutes of Health
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U.S. Agricultural Disease Preparedness
“New, emerging, and evolving pathogens are a challenge to animal health and production. Although improved management and better diagnostic and prophylactic tools are now available, emerging diseases and changes in animal management will always create new opportunities for old diseases.”
“Successfully overcoming these challenges requires a U.S. agricultural research enterprise that harnesses the newest advances from across the physical and life sciences, builds on a broader public investment in science and technology, and then applies these discoveries to the specific challenges of agriculture.”
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U.S. Livestock Diseases
Mole, Nature (2013)
Current outbreak: PEDV Potential threat: FMD
Zoonotic impact: Influenza
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U.S. Swine Industry
The U.S. swine industry is highly connected and intensely aggregated
U.S. Swine MovementShields & Mathews, USDA (2002)
U.S. swine production density (USDA Agricultural Census)
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Linking Disease to Livestock
Movement
Increased livestock movement Increased prevalence of bTB
Gilbert et al, Nature (2005) Shirley & Rushton, Epidemiology and Infection (2005)
High animal throughputs High risk of infection
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Role of Disease Modeling
During Epidemic Assess means of spread
Predict future spread
Design control
Endemic Stage Disease Management
Prior to Emergence Surveillance
Preparedness
RISK
ANALYSIS
DETERMINE
TRANSMISSION PATHWAYS
CONTAIN SPREAD
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PEDV Transmission Pathways
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PEDV Spread in U.S.
Data: USDA/AASV; O’Dea et al (2014)
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Open Questions About PEDV
Is swine movement responsible for propagating the infection?
What other factors increase risk of infection?
What was the source of the infection in the U.S.?
Important for surveillance, control and preparedness
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Role of Swine Movement in PEDV
Is swine movement responsible for propagating the infection?
Evidence of spread by trailers found (Lowe et al, 2014)
Many states have responded by limiting imports from PEDV-free premises
However, mode of transmission remains open to speculation
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Role of Movement in PEDV Spread
O’Dea, Snelson, Bansal (2015, In Review)
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What is the impact of movement direction?
Evidence for trailer-based transmission
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Source of Infection
What was the source of the infection in the U.S.?
First cases detected in OH and IN but entry unknown
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Source of PEDV in US
Do arrival times of PEDV in different states provide information on origin?
Arrival times of PEDV
Dec 2013April 2013
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Estimation of Likely Disease Source
Input: probability of disease spread between areas, genetic data, time of disease detection, model of detection error
Output: approximate likelihood of each state as source
Source: IN
Source:
KS
Distribution of arrival times from IN OH
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Controlling an Outbreak
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Movement Restrictions to Control PEDV
Self-imposed restrictions
Optimized restrictions
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Regionalization as a Tool for Livestock
Disease Control
Complex network community structure analysis
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Large-Scale U.S. Regionalization
Density-dependent transmission
Frequency-dependent transmission
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Feasibility of Regionalization
Optimized for feasibility and efficiency1) Spatial cohesiveness2) Spatial contiguity
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Assessing Risk of Emergence
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Quantifying Risks for Swine Disease Emergence
Swine density Live swine movement
+
+
Importation of swine
+
Shipment of pork + animal
feed
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Quantifying Risks for Swine Disease Emergence
Network-based model of risk for swine disease
emergence
Identification of hotspots for introduction and spread
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Summary
Network modeling swine industry connectivity
PEDV: identification of disease transmission pathways and sources
Crucial for identifying biosecurity gaps and preventing future introductions
Design of control strategies for containing spread
Optimal strategies adapted for feasibility and business continuity
Risk analysis for swine disease emergence
Improved biosurveillance and preparedness
Increased access to global trading partners
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Acknowledgements
GroupEamon O’Dea
Ian Carroll
Madeline Campbell
Collaborators:
Harry Snelson (AASV)Ryan Miller (USDA APHIS)Jason Lombard (USDA APHIS)Katie Portacci (USDA APHIS)Colleen Webb (CSU/RAPIDD)Michael Buhnerkempe (UCLA/RAPIDD)James Wood (Cambridge)John Korslund (USDA APHIS)Laura Pomeroy (OSU) Bryan Grenfell (Princeton)
Support: Department of Homeland Security Foreign Animal
Disease Modeling Program
RAPIDD Program of the Science & Technology Directorate of the DHS and the Fogarty International Center, National Institutes of Health.
Images from Wikimedia Commons. Michigan Farm Bureau, USDA, BBC News
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Modeling Emerging Disease in the U.S. Swine Herd
Shweta Bansal
Web: http://bansallab.com
Twitter: @bansallab