Spatio-temporal patterns and characteristics of swine shipments in the U.S. based on Interstate Certificates of Veterinary Inspection View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Erin E. Gorsich, Ryan S. Miller, Holly M. Mask, Clayton Hallman, Katie Portacci, Colleen T. Webb

ABSTRACT

Domestic swine production in the United States is a critical economic and food security industry, yet there is currently no large-scale quantitative assessment of swine shipments available to support risk assessments. In this study, we provide a national-level characterization of the swine industry by quantifying the demographic (i.e. age, sex) patterns, spatio-temporal patterns, and the production diversity within swine shipments. We characterize annual networks of swine shipments using a 30% stratified sample of Interstate Certificates of Veterinary Inspection (ICVI), which are required for the interstate movement of agricultural animals. We used ICVIs in 2010 and 2011 from eight states that represent 36% of swine operations and 63% of the U.S. swine industry. Our analyses reflect an integrated and spatially structured industry with high levels of spatial heterogeneity. Most shipments carried young swine for feeding or breeding purposes and carried a median of 330 head (range: 1-6,500). Geographically, most shipments went to and were shipped from Iowa, Minnesota, and Nebraska. This work, therefore, suggests that although the swine industry is variable in terms of its size and type of swine, counties in states historically known for breeding and feeding operations are consistently more central to the shipment network. More... »

PAGES

3915

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-019-40556-z

DOI

http://dx.doi.org/10.1038/s41598-019-40556-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112641547

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30850719


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0702", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Animal Production", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/07", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Agricultural and Veterinary Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Warwick", 
          "id": "https://www.grid.ac/institutes/grid.7372.1", 
          "name": [
            "Department of Biology, Colorado State University, Fort Collins, CO, USA", 
            "Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, USA", 
            "The Zeeman Institute: Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK", 
            "School of Life Sciences, University of Warwick, Coventry, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gorsich", 
        "givenName": "Erin E.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Center for Epidemiology and Animal Health", 
          "id": "https://www.grid.ac/institutes/grid.413610.1", 
          "name": [
            "Department of Biology, Colorado State University, Fort Collins, CO, USA", 
            "USDA APHIS Veterinary Services, Center for Epidemiology and Animal Health, Fort Collins, CO, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miller", 
        "givenName": "Ryan S.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Colorado State University", 
          "id": "https://www.grid.ac/institutes/grid.47894.36", 
          "name": [
            "Department of Biology, Colorado State University, Fort Collins, CO, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mask", 
        "givenName": "Holly M.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Center for Epidemiology and Animal Health", 
          "id": "https://www.grid.ac/institutes/grid.413610.1", 
          "name": [
            "Department of Biology, Colorado State University, Fort Collins, CO, USA", 
            "USDA APHIS Veterinary Services, Center for Epidemiology and Animal Health, Fort Collins, CO, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hallman", 
        "givenName": "Clayton", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Center for Epidemiology and Animal Health", 
          "id": "https://www.grid.ac/institutes/grid.413610.1", 
          "name": [
            "USDA APHIS Veterinary Services, Center for Epidemiology and Animal Health, Fort Collins, CO, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Portacci", 
        "givenName": "Katie", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Colorado State University", 
          "id": "https://www.grid.ac/institutes/grid.47894.36", 
          "name": [
            "Department of Biology, Colorado State University, Fort Collins, CO, USA", 
            "Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Webb", 
        "givenName": "Colleen T.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.prevetmed.2009.08.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001133115"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tim.2006.01.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002308529"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.prevetmed.2013.01.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002880397"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.prevetmed.2016.09.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005354046"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.prevetmed.2016.09.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005354046"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.prevetmed.2016.09.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005354046"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2664.2007.01377.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006633683"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rsif.2007.1272", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010803072"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rsif.2012.0289", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012560017"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.prevetmed.2013.08.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015495792"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/b97636", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016630193", 
          "https://doi.org/10.1007/b97636"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/b97636", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016630193", 
          "https://doi.org/10.1007/b97636"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/b97636", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016630193", 
          "https://doi.org/10.1007/b97636"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep22248", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017439552", 
          "https://doi.org/10.1038/srep22248"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rstb.2014.0107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017501613"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0053432", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018977552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.prevetmed.2007.02.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021908101"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1746-6148-10-140", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028623579", 
          "https://doi.org/10.1186/1746-6148-10-140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0091724", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028838296"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.prevetmed.2006.04.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030279307"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s1751731111002631", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030624040"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.prevetmed.2010.12.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031066415"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspb.2006.3505", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031684874"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.prevetmed.2012.08.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032672349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rsif.2007.0214", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033743472"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspb.2015.0205", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034127479"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.ppat.1002077", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037648528"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-5877(99)00074-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037922882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.epidem.2015.02.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039459297"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fvets.2016.00004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043360447"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3201/eid2005.131628", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045141230"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1061020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062445056"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.20506/rst.30.2.2043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068792647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.20506/rst.30.2.2043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068792647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2460/ajvr.2001.62.1121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070762079"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2460/javma.230.5.702", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070768976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2460/javma.243.4.555", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070771520"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7120/09627286.25.2.255", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073606796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.prevetmed.2017.02.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083409944"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.prevetmed.2017.12.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099616478"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2139/ssrn.1084881", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102244768"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Domestic swine production in the United States is a critical economic and food security industry, yet there is currently no large-scale quantitative assessment of swine shipments available to support risk assessments. In this study, we provide a national-level characterization of the swine industry by quantifying the demographic (i.e. age, sex) patterns, spatio-temporal patterns, and the production diversity within swine shipments. We characterize annual networks of swine shipments using a 30% stratified sample of Interstate Certificates of Veterinary Inspection (ICVI), which are required for the interstate movement of agricultural animals. We used ICVIs in 2010 and 2011 from eight states that represent 36% of swine operations and 63% of the U.S. swine industry. Our analyses reflect an integrated and spatially structured industry with high levels of spatial heterogeneity. Most shipments carried young swine for feeding or breeding purposes and carried a median of 330 head (range: 1-6,500). Geographically, most shipments went to and were shipped from Iowa, Minnesota, and Nebraska. This work, therefore, suggests that although the swine industry is variable in terms of its size and type of swine, counties in states historically known for breeding and feeding operations are consistently more central to the shipment network.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-019-40556-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "name": "Spatio-temporal patterns and characteristics of swine shipments in the U.S. based on Interstate Certificates of Veterinary Inspection", 
    "pagination": "3915", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "103f0d132c24b863772821816aedf33c7172c875a9b8781eec669f82ac4b1695"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30850719"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-019-40556-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112641547"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-019-40556-z", 
      "https://app.dimensions.ai/details/publication/pub.1112641547"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:21", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000368_0000000368/records_78972_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-019-40556-z"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40556-z'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40556-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40556-z'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40556-z'


 

This table displays all metadata directly associated to this object as RDF triples.

219 TRIPLES      21 PREDICATES      65 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-019-40556-z schema:about anzsrc-for:07
2 anzsrc-for:0702
3 schema:author N48aed9af58e6447d9fd2200e5011a3d1
4 schema:citation sg:pub.10.1007/b97636
5 sg:pub.10.1038/srep22248
6 sg:pub.10.1186/1746-6148-10-140
7 https://doi.org/10.1016/j.epidem.2015.02.008
8 https://doi.org/10.1016/j.prevetmed.2006.04.007
9 https://doi.org/10.1016/j.prevetmed.2007.02.004
10 https://doi.org/10.1016/j.prevetmed.2009.08.026
11 https://doi.org/10.1016/j.prevetmed.2010.12.009
12 https://doi.org/10.1016/j.prevetmed.2012.08.011
13 https://doi.org/10.1016/j.prevetmed.2013.01.008
14 https://doi.org/10.1016/j.prevetmed.2013.08.002
15 https://doi.org/10.1016/j.prevetmed.2016.09.023
16 https://doi.org/10.1016/j.prevetmed.2017.02.001
17 https://doi.org/10.1016/j.prevetmed.2017.12.004
18 https://doi.org/10.1016/j.tim.2006.01.004
19 https://doi.org/10.1016/s0167-5877(99)00074-4
20 https://doi.org/10.1017/s1751731111002631
21 https://doi.org/10.1098/rsif.2007.0214
22 https://doi.org/10.1098/rsif.2007.1272
23 https://doi.org/10.1098/rsif.2012.0289
24 https://doi.org/10.1098/rspb.2006.3505
25 https://doi.org/10.1098/rspb.2015.0205
26 https://doi.org/10.1098/rstb.2014.0107
27 https://doi.org/10.1111/j.1365-2664.2007.01377.x
28 https://doi.org/10.1126/science.1061020
29 https://doi.org/10.1371/journal.pone.0053432
30 https://doi.org/10.1371/journal.pone.0091724
31 https://doi.org/10.1371/journal.ppat.1002077
32 https://doi.org/10.20506/rst.30.2.2043
33 https://doi.org/10.2139/ssrn.1084881
34 https://doi.org/10.2460/ajvr.2001.62.1121
35 https://doi.org/10.2460/javma.230.5.702
36 https://doi.org/10.2460/javma.243.4.555
37 https://doi.org/10.3201/eid2005.131628
38 https://doi.org/10.3389/fvets.2016.00004
39 https://doi.org/10.7120/09627286.25.2.255
40 schema:datePublished 2019-12
41 schema:datePublishedReg 2019-12-01
42 schema:description Domestic swine production in the United States is a critical economic and food security industry, yet there is currently no large-scale quantitative assessment of swine shipments available to support risk assessments. In this study, we provide a national-level characterization of the swine industry by quantifying the demographic (i.e. age, sex) patterns, spatio-temporal patterns, and the production diversity within swine shipments. We characterize annual networks of swine shipments using a 30% stratified sample of Interstate Certificates of Veterinary Inspection (ICVI), which are required for the interstate movement of agricultural animals. We used ICVIs in 2010 and 2011 from eight states that represent 36% of swine operations and 63% of the U.S. swine industry. Our analyses reflect an integrated and spatially structured industry with high levels of spatial heterogeneity. Most shipments carried young swine for feeding or breeding purposes and carried a median of 330 head (range: 1-6,500). Geographically, most shipments went to and were shipped from Iowa, Minnesota, and Nebraska. This work, therefore, suggests that although the swine industry is variable in terms of its size and type of swine, counties in states historically known for breeding and feeding operations are consistently more central to the shipment network.
43 schema:genre research_article
44 schema:inLanguage en
45 schema:isAccessibleForFree true
46 schema:isPartOf Nb6d34f4bcf82461695ccfd3006dee807
47 Ne7b1d8fab8694158b3279fa934c51fbf
48 sg:journal.1045337
49 schema:name Spatio-temporal patterns and characteristics of swine shipments in the U.S. based on Interstate Certificates of Veterinary Inspection
50 schema:pagination 3915
51 schema:productId N7938720f0fa04dacac6d8fe93e16e4f0
52 N81642cdf33db4631a1c10d4f4a2e7ab6
53 N8922972ad1cd497e9c044b354dc8f97c
54 N914925d0f39841d3a4be83890846333a
55 N96fd96ca52e54a428f11c502526ba122
56 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112641547
57 https://doi.org/10.1038/s41598-019-40556-z
58 schema:sdDatePublished 2019-04-11T13:21
59 schema:sdLicense https://scigraph.springernature.com/explorer/license/
60 schema:sdPublisher Nb2c765c9404f4f21af27371c0888a6f4
61 schema:url https://www.nature.com/articles/s41598-019-40556-z
62 sgo:license sg:explorer/license/
63 sgo:sdDataset articles
64 rdf:type schema:ScholarlyArticle
65 N12d8e00dea1c4125a5cc245b2eaecaf6 rdf:first N8822176f2a8e49569c9dc496886df027
66 rdf:rest N9e9dea481ea847a0b12747a263eb952d
67 N48aed9af58e6447d9fd2200e5011a3d1 rdf:first N968b4e1a8d824d49b68c9df5f703eb70
68 rdf:rest Nc5c9230de760441fac68951f098f3d6d
69 N656b8be7bd304a62b2752232ab01bb22 rdf:first Nba838f5abecd4f049f4ff7d0dd07e44c
70 rdf:rest N12d8e00dea1c4125a5cc245b2eaecaf6
71 N7938720f0fa04dacac6d8fe93e16e4f0 schema:name readcube_id
72 schema:value 103f0d132c24b863772821816aedf33c7172c875a9b8781eec669f82ac4b1695
73 rdf:type schema:PropertyValue
74 N81642cdf33db4631a1c10d4f4a2e7ab6 schema:name doi
75 schema:value 10.1038/s41598-019-40556-z
76 rdf:type schema:PropertyValue
77 N84ab047997f74df6b7ba0a717a63f033 schema:affiliation https://www.grid.ac/institutes/grid.47894.36
78 schema:familyName Mask
79 schema:givenName Holly M.
80 rdf:type schema:Person
81 N8822176f2a8e49569c9dc496886df027 schema:affiliation https://www.grid.ac/institutes/grid.413610.1
82 schema:familyName Portacci
83 schema:givenName Katie
84 rdf:type schema:Person
85 N8922972ad1cd497e9c044b354dc8f97c schema:name dimensions_id
86 schema:value pub.1112641547
87 rdf:type schema:PropertyValue
88 N914925d0f39841d3a4be83890846333a schema:name pubmed_id
89 schema:value 30850719
90 rdf:type schema:PropertyValue
91 N934bf78379d449a38b4d9b7521e2fa09 rdf:first N84ab047997f74df6b7ba0a717a63f033
92 rdf:rest N656b8be7bd304a62b2752232ab01bb22
93 N968b4e1a8d824d49b68c9df5f703eb70 schema:affiliation https://www.grid.ac/institutes/grid.7372.1
94 schema:familyName Gorsich
95 schema:givenName Erin E.
96 rdf:type schema:Person
97 N96fd96ca52e54a428f11c502526ba122 schema:name nlm_unique_id
98 schema:value 101563288
99 rdf:type schema:PropertyValue
100 N9e9dea481ea847a0b12747a263eb952d rdf:first Nddcaf1f4974b404e9a2ab28b503778de
101 rdf:rest rdf:nil
102 Nb2c765c9404f4f21af27371c0888a6f4 schema:name Springer Nature - SN SciGraph project
103 rdf:type schema:Organization
104 Nb6d34f4bcf82461695ccfd3006dee807 schema:volumeNumber 9
105 rdf:type schema:PublicationVolume
106 Nba838f5abecd4f049f4ff7d0dd07e44c schema:affiliation https://www.grid.ac/institutes/grid.413610.1
107 schema:familyName Hallman
108 schema:givenName Clayton
109 rdf:type schema:Person
110 Nc5c9230de760441fac68951f098f3d6d rdf:first Nc9ad55446e5943d4bf7a84272d122be9
111 rdf:rest N934bf78379d449a38b4d9b7521e2fa09
112 Nc9ad55446e5943d4bf7a84272d122be9 schema:affiliation https://www.grid.ac/institutes/grid.413610.1
113 schema:familyName Miller
114 schema:givenName Ryan S.
115 rdf:type schema:Person
116 Nddcaf1f4974b404e9a2ab28b503778de schema:affiliation https://www.grid.ac/institutes/grid.47894.36
117 schema:familyName Webb
118 schema:givenName Colleen T.
119 rdf:type schema:Person
120 Ne7b1d8fab8694158b3279fa934c51fbf schema:issueNumber 1
121 rdf:type schema:PublicationIssue
122 anzsrc-for:07 schema:inDefinedTermSet anzsrc-for:
123 schema:name Agricultural and Veterinary Sciences
124 rdf:type schema:DefinedTerm
125 anzsrc-for:0702 schema:inDefinedTermSet anzsrc-for:
126 schema:name Animal Production
127 rdf:type schema:DefinedTerm
128 sg:journal.1045337 schema:issn 2045-2322
129 schema:name Scientific Reports
130 rdf:type schema:Periodical
131 sg:pub.10.1007/b97636 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016630193
132 https://doi.org/10.1007/b97636
133 rdf:type schema:CreativeWork
134 sg:pub.10.1038/srep22248 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017439552
135 https://doi.org/10.1038/srep22248
136 rdf:type schema:CreativeWork
137 sg:pub.10.1186/1746-6148-10-140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028623579
138 https://doi.org/10.1186/1746-6148-10-140
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/j.epidem.2015.02.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039459297
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/j.prevetmed.2006.04.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030279307
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/j.prevetmed.2007.02.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021908101
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/j.prevetmed.2009.08.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001133115
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/j.prevetmed.2010.12.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031066415
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/j.prevetmed.2012.08.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032672349
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/j.prevetmed.2013.01.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002880397
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/j.prevetmed.2013.08.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015495792
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/j.prevetmed.2016.09.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005354046
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/j.prevetmed.2017.02.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083409944
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/j.prevetmed.2017.12.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099616478
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/j.tim.2006.01.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002308529
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/s0167-5877(99)00074-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037922882
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1017/s1751731111002631 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030624040
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1098/rsif.2007.0214 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033743472
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1098/rsif.2007.1272 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010803072
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1098/rsif.2012.0289 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012560017
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1098/rspb.2006.3505 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031684874
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1098/rspb.2015.0205 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034127479
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1098/rstb.2014.0107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017501613
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1111/j.1365-2664.2007.01377.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1006633683
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1126/science.1061020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062445056
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1371/journal.pone.0053432 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018977552
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1371/journal.pone.0091724 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028838296
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1371/journal.ppat.1002077 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037648528
189 rdf:type schema:CreativeWork
190 https://doi.org/10.20506/rst.30.2.2043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068792647
191 rdf:type schema:CreativeWork
192 https://doi.org/10.2139/ssrn.1084881 schema:sameAs https://app.dimensions.ai/details/publication/pub.1102244768
193 rdf:type schema:CreativeWork
194 https://doi.org/10.2460/ajvr.2001.62.1121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070762079
195 rdf:type schema:CreativeWork
196 https://doi.org/10.2460/javma.230.5.702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070768976
197 rdf:type schema:CreativeWork
198 https://doi.org/10.2460/javma.243.4.555 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070771520
199 rdf:type schema:CreativeWork
200 https://doi.org/10.3201/eid2005.131628 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045141230
201 rdf:type schema:CreativeWork
202 https://doi.org/10.3389/fvets.2016.00004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043360447
203 rdf:type schema:CreativeWork
204 https://doi.org/10.7120/09627286.25.2.255 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073606796
205 rdf:type schema:CreativeWork
206 https://www.grid.ac/institutes/grid.413610.1 schema:alternateName Center for Epidemiology and Animal Health
207 schema:name Department of Biology, Colorado State University, Fort Collins, CO, USA
208 USDA APHIS Veterinary Services, Center for Epidemiology and Animal Health, Fort Collins, CO, USA
209 rdf:type schema:Organization
210 https://www.grid.ac/institutes/grid.47894.36 schema:alternateName Colorado State University
211 schema:name Department of Biology, Colorado State University, Fort Collins, CO, USA
212 Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, USA
213 rdf:type schema:Organization
214 https://www.grid.ac/institutes/grid.7372.1 schema:alternateName University of Warwick
215 schema:name Department of Biology, Colorado State University, Fort Collins, CO, USA
216 Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, USA
217 School of Life Sciences, University of Warwick, Coventry, UK
218 The Zeeman Institute: Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK
219 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...