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DiTTO: Digital Twin for Transboundary OneHealth
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BII@UVA
DiTTO: Digital Twin for Transboundary OneHealth
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DiTTO: Digital Twin for Transboundary OneHealth - Overview

Description: At the Biocomplexity Institute at the University of Virginia, we have developed a pipeline for producing synthetic, or digital similar, populations that are representative of the actual populations of the world. At a high level, a digital similar population represents the people of a region along with selected demographic attributes like age and gender, groups them into households, assigns them activities over a period of time (day or week) along with locations where the activities take place, thus identifying where interactions between population members occur. Digital similar populations can be used to run modeling simulations (e.g., for epidemic forecasting, predicting social unrest, disaster planning, etc.) for areas where detailed population data is unavailable, or where usage of detailed data may raise privacy concerns.

DiTTO (Digital Twin for Transboundary OneHealth) is a web-based, high-level visualization of our first digital similar representing animal populations. The goal of this project is to build a combination digital similar that includes different agricultural populations (livestock, wild birds, (human) agricultural workers, and locations of animal product processing plants) for case studies focussed on Transboundary Animal Diseases like HPAI (highly pathogenic avian influenza). This dataset and the web portal are a work in progress, and are expected to evolve even further over time.

Sources used for modelling:

eBird:

  • Sullivan, B.L., C.L. Wood, M.J. Iliff, R.E. Bonney, D. Fink, and S. Kelling. 2009. eBird: a citizen-based bird observation network in the biological sciences. Biological Conservation 142: 2282-2292.
  • eBird. 2021. eBird: An online database of bird distribution and abundance [web application]. eBird, Cornell Lab of Ornithology, Ithaca, New York.

US Census of Agriculture (AgCensus):

  • USDA National Agricultural Statistics Service. Census of Agriculture. https://www.nass.usda.gov/AgCensus/.

Gridded Livestock of the World:

  • Gilbert M, G Nicolas, G Cinardi, S Vanwambeke, TP Van Boeckel, GRW Wint, TP Robinson (2018) Global Distribution Data for Cattle, Buffaloes, Horses, Sheep, Goats, Pigs, Chickens and Ducks in 2010. Nature Scientific Data, 5:180227. doi: 10.1038/sdata.2018.227.

Concentrated Animal Feeding Operations (CAFOs):

  • The University of Iowa. CAFOs in the US. https://cafomaps.org/.

Livestock Processing Plants:

  • Dairy: USDA AMS. Dairy plants surveyed and approved for usda grading service. https://apps.ams.usda.gov/dairy/ApprovedPlantList/, 2024.
  • Meat, Poultry, and Eggs: USDA FSIS. Meat, poultry and egg product inspection directory. https://www.fsis.usda.gov/inspection/establishments/meat-poultry-and-egg-product-inspection-directory, 2024.

Acknowledgements: We thank members of the Biocomplexity Institute and UVA Research computing for their support. We also thank VA PGCOE members, members of the Office for Pandemic Preparedness and Response Policy, Dan Hanfling, and Cyrus Shahpur, members of the National Security Council, Shankar Sundaram and Rachel Idowu, and CDC staff members, Eleanor Click and John Barnes for their thoughtful comments and suggestions. This work was partially supported by University of Virginia Strategic Investment Fund award number SIF160, National Science Foundation (NSF) Expeditions in Computing Grant CCF-1918656, PGCoE CDC-RFA-CK22-2204, DTRA subcontract/ARA S-D00189-15-TO-01-UVA, USDA-NIFA and NSF under the AI Institute: Agricultural AI for Transforming Workforce and Decision Support (AgAID) award No. 2021-67021-35344, USDA-NIFA under the Network Models of Food Systems and their Application to Invasive Species Spread, grant no. 2019-67021-29933.

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Mean confirmed case counts are derived from data provided by the  COVID-19 Surveillance Dashboard
Total Studied Livestock
< 0.9
1 - 44,655,866
44,655,867 - 89,311,732
89,311,733 - 133,967,598
133,967,599 - 178,623,464
178,623,465 - 223,279,330
223,279,331 +
The US FIPS code for the region
The number of livestock (cattle, hogs, poultry, and sheep) projected to live in the selected region
The number of livestock farms projected in the selected region.
  • Data
Notices: Change on USA Data Sources
Tutorials: USA county | Query and filter | Advanced click | more
Region NameUS FIPS CodeTotal LivestockTotal Livestock Farms
Region Name
US FIPS Code
Total Livestock
Total Livestock Farms
Idaho163,970,76816,804
North Dakota383,025,6539,304
Washington5313,781,74322,469
Minnesota2753,132,30633,555
Montana304,219,11715,040
Alaska0200
California0677,260,69227,707
Oregon419,286,49428,278
Nevada32586,2792,763
Colorado087,628,24826,183
Showing 1 to 10 of 51 entries
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