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DTSTAMP:20250822T115804Z
LOCATION:Room 6.0D13
DTSTART;TZID=Europe/Stockholm:20250616T122000
DTEND;TZID=Europe/Stockholm:20250616T125000
UID:submissions.pasc-conference.org_PASC25_sess137_msa221@linklings.com
SUMMARY:Developing a Data - Driven Farmer Vulnerability Index for Farms in
  Rural Communities with High Performance Computing
DESCRIPTION:David Kott and Connor Price (Colorado State University), Tom H
 opson and Jason C. Knievel (NSF - National Center of Atmospheric Research)
 , Tracy L. Webb (Colorado State University), Olga Wilhelmi (NSF - National
  Center of Atmospheric Research), and Michael Kirby (Colorado State Univer
 sity)\n\nAfrican Swine Fever (ASF) is a highly contagious and deadly viral
  disease infecting domestic and feral swine populations in Africa and Asia
  and more recently in the Europe, South America, and Caribbean. ASF has de
 vastating impacts on swine industries in the affected countries. This stud
 y proposes to develop a ASF farmer vulnerability risk index for rural swin
 e farms that integrates an array of potential environmental factors (e.g.,
  domestic and feral swine population densities, precipitation, temperature
 , vegetation), geographic and social factors and seasonality to assess and
  predict regions where outbreaks are more likely to occur.   The approach 
 is data agnostic, leveraging a broad range of available data with the goal
  of identifying discriminating features in a data-driven manner.   A featu
 re indexing approach is used to construct labeled training data from histo
 rical outbreaks to train a machine learning model to produce a spatial ris
 k index.   Sparse optimization tools are employed to identify the salient 
 features most useful for predictive modeling.  The resultant risk index ca
 n guide surveillance and preventive strategies, while also outlining limit
 ations related to data granularity and model generalizability. This study 
 incorporates integrating diverse data set to identify areas of risk to pot
 entially inform mitigating the spread of ASF.\n\nDomain: Chemistry and Mat
 erials, Climate, Weather, and Earth Sciences, Life Sciences, Physics, Comp
 utational Methods and Applied Mathematics\n\nSession Chair: Michael Kirby 
 (Colorado State University)\n\n
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