Livestock host composition rather than land use or climate explains spatial patterns in bluetongue disease in South India View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

M. M. Chanda, S. Carpenter, G. Prasad, L. Sedda, P. A. Henrys, M. R. Gajendragad, B. V. Purse

ABSTRACT

Culicoides-borne arboviruses of livestock impair animal health, livestock production and livelihoods worldwide. As these arboviruses are multi-host, multi-vector systems, predictions to improve targeting of disease control measures require frameworks that quantify the relative impacts of multiple abiotic and biotic factors on disease patterns. We develop such a framework to predict long term (1992-2009) average patterns in bluetongue (BT), caused by bluetongue virus (BTV), in sheep in southern India, where annual BT outbreaks constrain the livelihoods and production of small-holder farmers. In Bayesian spatial general linear mixed models, host factors outperformed landscape and climate factors as predictors of disease patterns, with more BT outbreaks occurring on average in districts with higher densities of susceptible sheep breeds and buffalo. Since buffalo are resistant to clinical signs of BT, this finding suggests they are a source of infection for sympatric susceptible sheep populations. Sero-monitoring is required to understand the role of buffalo in maintaining BTV transmission and whether they must be included in vaccination programs to protect sheep adequately. Landscape factors, namely the coverage of post-flooding, irrigated and rain-fed croplands, had weak positive effects on outbreaks. The intimate links between livestock host, vector composition and agricultural practices in India require further investigation at the landscape scale. More... »

PAGES

4229

References to SciGraph publications

  • 2010-12. Pathogenic landscapes: Interactions between land, people, disease vectors, and their animal hosts in INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS
  • 2014-12. Cross-sectional serosurvey and associated factors of bluetongue virus antibodies presence in small ruminants of Nepal in BMC RESEARCH NOTES
  • 2014-12. Feeding behaviour of Culicoides spp. (Diptera: Ceratopogonidae) on cattle and sheep in northeast Germany in FILARIA JOURNAL
  • 1991-03. Bayesian image restoration, with two applications in spatial statistics in ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS
  • 2016-09. Prevalence of different species of Culicoides in Bangalore rural and urban districts of South India in JOURNAL OF PARASITIC DISEASES
  • 1999-02. Horse sickness and ENSO in South Africa in NATURE
  • 2016-12. DNA barcoding and surveillance sampling strategies for Culicoides biting midges (Diptera: Ceratopogonidae) in southern India in FILARIA JOURNAL
  • 2016-12. Role of different Culicoides vectors (Diptera: Ceratopogonidae) in bluetongue virus transmission and overwintering in Sardinia (Italy) in FILARIA JOURNAL
  • 1983-06. Bluetongue in sheep in India in TROPICAL ANIMAL HEALTH AND PRODUCTION
  • 2017-07. Combining dispersion modelling with synoptic patterns to understand the wind-borne transport into the UK of the bluetongue disease vector in INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
  • 2015-05. Impact of temperature, feeding preference and vaccination on Schmallenberg virus transmission in Scotland in SCIENTIFIC REPORTS
  • 1998. Model Selection and Inference, A Practical Information-Theoretic Approach in NONE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41598-019-40450-8

    DOI

    http://dx.doi.org/10.1038/s41598-019-40450-8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112706482

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30862821


    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/2008/0707", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Veterinary Sciences", 
            "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": "National Institute Of Veterinary Epidemiology And Disease Informatics", 
              "id": "https://www.grid.ac/institutes/grid.464968.1", 
              "name": [
                "ICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chanda", 
            "givenName": "M. M.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Pirbright Institute", 
              "id": "https://www.grid.ac/institutes/grid.63622.33", 
              "name": [
                "The Pirbright Institute, Ash Road, Woking, GU24 0NF, Surrey, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Carpenter", 
            "givenName": "S.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Sardar Vallabhbhai Patel University of Agriculture & Technology", 
              "id": "https://www.grid.ac/institutes/grid.444573.5", 
              "name": [
                "Sardar Vallabhbhai Patel University of Agriculture and Technology, NH 58, Roorkee Road, Modipuram, 250110, Meerut, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Prasad", 
            "givenName": "G.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Lancaster University", 
              "id": "https://www.grid.ac/institutes/grid.9835.7", 
              "name": [
                "Centre for Health Information, Computation and Statistics (CHICAS), Lancaster Medical School, Faculty of Health and Medicine, Furness Building, Lancaster University, LA1 4YG, Lancaster, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sedda", 
            "givenName": "L.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Lancaster University", 
              "id": "https://www.grid.ac/institutes/grid.9835.7", 
              "name": [
                "Centre for Ecology and Hydrology, Lancaster Environment Centre, Bailrigg, LA1 4AP, Lancaster, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Henrys", 
            "givenName": "P. A.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "National Institute Of Veterinary Epidemiology And Disease Informatics", 
              "id": "https://www.grid.ac/institutes/grid.464968.1", 
              "name": [
                "ICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gajendragad", 
            "givenName": "M. R.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Centre for Ecology and Hydrology", 
              "id": "https://www.grid.ac/institutes/grid.494924.6", 
              "name": [
                "Centre for Ecology and Hydrology, Benson Lane, Crowmarsh Gifford, OX10 8BB, Oxfordshire, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Purse", 
            "givenName": "B. V.", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/j.prevetmed.2012.12.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002381686"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0043360", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003785161"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2915.2012.01042.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004498391"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1756-3305-7-34", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005696898", 
              "https://doi.org/10.1186/1756-3305-7-34"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1467-9868.2008.00700.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007468045"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1467-9868.2008.00700.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007468045"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00484-016-1301-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011576629", 
              "https://doi.org/10.1007/s00484-016-1301-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00484-016-1301-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011576629", 
              "https://doi.org/10.1007/s00484-016-1301-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0378-1135(91)90103-m", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011929661"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0378-1135(91)90103-m", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011929661"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/brv.12149", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013430732"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.smallrumres.2016.11.012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014486695"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1541-0420.2009.01247_2.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016022361"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2915.2012.01032.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016470672"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.prevetmed.2009.11.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018191977"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev-ento-010814-020614", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020108727"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.gloplacha.2014.07.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021738733"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1600-0587.2012.07348.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022525509"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.antiviral.2013.07.020", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022632100"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev-ento-120709-144847", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022877176"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13071-016-1722-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023782583", 
              "https://doi.org/10.1186/s13071-016-1722-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13071-016-1722-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023782583", 
              "https://doi.org/10.1186/s13071-016-1722-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1098/rsif.2007.1110", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024095026"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1098/rstb.2013.0551", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024249199"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13071-016-1733-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024381010", 
              "https://doi.org/10.1186/s13071-016-1733-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13071-016-1733-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024381010", 
              "https://doi.org/10.1186/s13071-016-1733-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/s0007485300011032", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025425460"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/s0007485300011032", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025425460"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/s0007485300011032", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025425460"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1756-0500-7-691", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029350940", 
              "https://doi.org/10.1186/1756-0500-7-691"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep05746", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029376637", 
              "https://doi.org/10.1038/srep05746"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jcpa.2009.04.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030368836"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/17512", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030387150", 
              "https://doi.org/10.1038/17512"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/17512", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030387150", 
              "https://doi.org/10.1038/17512"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02239801", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032714817", 
              "https://doi.org/10.1007/bf02239801"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/joc.1276", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032895020"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/joc.1276", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032895020"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/asl.232", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033005930"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/asl.232", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033005930"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1476-072x-9-54", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033267206", 
              "https://doi.org/10.1186/1476-072x-9-54"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.0006-341x.2001.00197.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033930752"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.0006-341x.2001.00197.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033930752"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1035961913", 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4757-2917-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035961913", 
              "https://doi.org/10.1007/978-1-4757-2917-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4757-2917-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035961913", 
              "https://doi.org/10.1007/978-1-4757-2917-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/jvi.01672-12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037268693"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0112491", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038029098"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00116466", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041821886", 
              "https://doi.org/10.1007/bf00116466"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1890/14-1639.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043532552"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0378-1135(98)00255-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045064640"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0131021", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045873405"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12639-014-0544-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045942891", 
              "https://doi.org/10.1007/s12639-014-0544-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/1467-9868.00353", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047288536"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev.ento.45.1.307", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047530601"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev.en.41.010196.000323", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047686629"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0151151", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049036142"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0151151", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049036142"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/tbed.12258", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049584652"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2915.2011.00991.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050200059"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pntd.0003325", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052141428"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.prevetmed.2017.01.012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1054083386"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/0962280216660421", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1063904048"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/0962280216660421", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1063904048"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1198/016214506000001437", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064198608"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1603/me11235", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068123325"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.20506/rst.23.3.1515", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068792079"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.20506/rst.23.3.1515", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068792079"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4102/jsava.v77i4.376", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072225036"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1078150446", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1078150449", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1078150453", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1098/rsif.2016.0481", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084197048"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pcbi.1005470", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084509255"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1214/16-sts576", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084620386"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/cbo9780511790942", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1098675208"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-12", 
        "datePublishedReg": "2019-12-01", 
        "description": "Culicoides-borne arboviruses of livestock impair animal health, livestock production and livelihoods worldwide. As these arboviruses are multi-host, multi-vector systems, predictions to improve targeting of disease control measures require frameworks that quantify the relative impacts of multiple abiotic and biotic factors on disease patterns. We develop such a framework to predict long term (1992-2009) average patterns in bluetongue (BT), caused by bluetongue virus (BTV), in sheep in southern India, where annual BT outbreaks constrain the livelihoods and production of small-holder farmers. In Bayesian spatial general linear mixed models, host factors outperformed landscape and climate factors as predictors of disease patterns, with more BT outbreaks occurring on average in districts with higher densities of susceptible sheep breeds and buffalo. Since buffalo are resistant to clinical signs of BT, this finding suggests they are a source of infection for sympatric susceptible sheep populations. Sero-monitoring is required to understand the role of buffalo in maintaining BTV transmission and whether they must be included in vaccination programs to protect sheep adequately. Landscape factors, namely the coverage of post-flooding, irrigated and rain-fed croplands, had weak positive effects on outbreaks. The intimate links between livestock host, vector composition and agricultural practices in India require further investigation at the landscape scale.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/s41598-019-40450-8", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.2768934", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.7085057", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2752343", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1045337", 
            "issn": [
              "2045-2322"
            ], 
            "name": "Scientific Reports", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "9"
          }
        ], 
        "name": "Livestock host composition rather than land use or climate explains spatial patterns in bluetongue disease in South India", 
        "pagination": "4229", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "dd7c30eae250776f066d4a3b2543e11b70ab37ff1b4123a8368770d064c2438c"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "30862821"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101563288"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/s41598-019-40450-8"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1112706482"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/s41598-019-40450-8", 
          "https://app.dimensions.ai/details/publication/pub.1112706482"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T13:18", 
        "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_78941_00000001.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://www.nature.com/articles/s41598-019-40450-8"
      }
    ]
     

    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/s41598-019-40450-8'

    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/s41598-019-40450-8'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40450-8'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40450-8'


     

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

    310 TRIPLES      21 PREDICATES      89 URIs      21 LITERALS      9 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/s41598-019-40450-8 schema:about anzsrc-for:07
    2 anzsrc-for:0707
    3 schema:author Ncb1738b418fc4cc28b00a41953f487ee
    4 schema:citation sg:pub.10.1007/978-1-4757-2917-7
    5 sg:pub.10.1007/bf00116466
    6 sg:pub.10.1007/bf02239801
    7 sg:pub.10.1007/s00484-016-1301-1
    8 sg:pub.10.1007/s12639-014-0544-1
    9 sg:pub.10.1038/17512
    10 sg:pub.10.1038/srep05746
    11 sg:pub.10.1186/1476-072x-9-54
    12 sg:pub.10.1186/1756-0500-7-691
    13 sg:pub.10.1186/1756-3305-7-34
    14 sg:pub.10.1186/s13071-016-1722-z
    15 sg:pub.10.1186/s13071-016-1733-9
    16 https://app.dimensions.ai/details/publication/pub.1035961913
    17 https://app.dimensions.ai/details/publication/pub.1078150446
    18 https://app.dimensions.ai/details/publication/pub.1078150449
    19 https://app.dimensions.ai/details/publication/pub.1078150453
    20 https://doi.org/10.1002/asl.232
    21 https://doi.org/10.1002/joc.1276
    22 https://doi.org/10.1016/0378-1135(91)90103-m
    23 https://doi.org/10.1016/j.antiviral.2013.07.020
    24 https://doi.org/10.1016/j.gloplacha.2014.07.005
    25 https://doi.org/10.1016/j.jcpa.2009.04.003
    26 https://doi.org/10.1016/j.prevetmed.2009.11.007
    27 https://doi.org/10.1016/j.prevetmed.2012.12.001
    28 https://doi.org/10.1016/j.prevetmed.2017.01.012
    29 https://doi.org/10.1016/j.smallrumres.2016.11.012
    30 https://doi.org/10.1016/s0378-1135(98)00255-7
    31 https://doi.org/10.1017/cbo9780511790942
    32 https://doi.org/10.1017/s0007485300011032
    33 https://doi.org/10.1098/rsif.2007.1110
    34 https://doi.org/10.1098/rsif.2016.0481
    35 https://doi.org/10.1098/rstb.2013.0551
    36 https://doi.org/10.1111/1467-9868.00353
    37 https://doi.org/10.1111/brv.12149
    38 https://doi.org/10.1111/j.0006-341x.2001.00197.x
    39 https://doi.org/10.1111/j.1365-2915.2011.00991.x
    40 https://doi.org/10.1111/j.1365-2915.2012.01032.x
    41 https://doi.org/10.1111/j.1365-2915.2012.01042.x
    42 https://doi.org/10.1111/j.1467-9868.2008.00700.x
    43 https://doi.org/10.1111/j.1541-0420.2009.01247_2.x
    44 https://doi.org/10.1111/j.1600-0587.2012.07348.x
    45 https://doi.org/10.1111/tbed.12258
    46 https://doi.org/10.1128/jvi.01672-12
    47 https://doi.org/10.1146/annurev-ento-010814-020614
    48 https://doi.org/10.1146/annurev-ento-120709-144847
    49 https://doi.org/10.1146/annurev.en.41.010196.000323
    50 https://doi.org/10.1146/annurev.ento.45.1.307
    51 https://doi.org/10.1177/0962280216660421
    52 https://doi.org/10.1198/016214506000001437
    53 https://doi.org/10.1214/16-sts576
    54 https://doi.org/10.1371/journal.pcbi.1005470
    55 https://doi.org/10.1371/journal.pntd.0003325
    56 https://doi.org/10.1371/journal.pone.0043360
    57 https://doi.org/10.1371/journal.pone.0112491
    58 https://doi.org/10.1371/journal.pone.0131021
    59 https://doi.org/10.1371/journal.pone.0151151
    60 https://doi.org/10.1603/me11235
    61 https://doi.org/10.1890/14-1639.1
    62 https://doi.org/10.20506/rst.23.3.1515
    63 https://doi.org/10.4102/jsava.v77i4.376
    64 schema:datePublished 2019-12
    65 schema:datePublishedReg 2019-12-01
    66 schema:description Culicoides-borne arboviruses of livestock impair animal health, livestock production and livelihoods worldwide. As these arboviruses are multi-host, multi-vector systems, predictions to improve targeting of disease control measures require frameworks that quantify the relative impacts of multiple abiotic and biotic factors on disease patterns. We develop such a framework to predict long term (1992-2009) average patterns in bluetongue (BT), caused by bluetongue virus (BTV), in sheep in southern India, where annual BT outbreaks constrain the livelihoods and production of small-holder farmers. In Bayesian spatial general linear mixed models, host factors outperformed landscape and climate factors as predictors of disease patterns, with more BT outbreaks occurring on average in districts with higher densities of susceptible sheep breeds and buffalo. Since buffalo are resistant to clinical signs of BT, this finding suggests they are a source of infection for sympatric susceptible sheep populations. Sero-monitoring is required to understand the role of buffalo in maintaining BTV transmission and whether they must be included in vaccination programs to protect sheep adequately. Landscape factors, namely the coverage of post-flooding, irrigated and rain-fed croplands, had weak positive effects on outbreaks. The intimate links between livestock host, vector composition and agricultural practices in India require further investigation at the landscape scale.
    67 schema:genre research_article
    68 schema:inLanguage en
    69 schema:isAccessibleForFree true
    70 schema:isPartOf N51c1159b064e41e2a3ec16991d2655e2
    71 Ne8b08c244afb484194a38da8c3b73fb1
    72 sg:journal.1045337
    73 schema:name Livestock host composition rather than land use or climate explains spatial patterns in bluetongue disease in South India
    74 schema:pagination 4229
    75 schema:productId N2077f54a57ab4da98215255c9e036706
    76 N62b338aa3bd94fe3a48ee1bd21ddd8ad
    77 N79ef97d26c2b4295b57a6c4822e4e8de
    78 Naf3ace185fe04632bdc61869e14f7327
    79 Nca1871f1db4a401c9b7b4a3085db4efb
    80 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112706482
    81 https://doi.org/10.1038/s41598-019-40450-8
    82 schema:sdDatePublished 2019-04-11T13:18
    83 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    84 schema:sdPublisher N0335c489cdcc4c339b7d10fa1fd89378
    85 schema:url https://www.nature.com/articles/s41598-019-40450-8
    86 sgo:license sg:explorer/license/
    87 sgo:sdDataset articles
    88 rdf:type schema:ScholarlyArticle
    89 N0335c489cdcc4c339b7d10fa1fd89378 schema:name Springer Nature - SN SciGraph project
    90 rdf:type schema:Organization
    91 N0c6d5fbea3fd45e6a2226bfee6c9987a schema:affiliation https://www.grid.ac/institutes/grid.9835.7
    92 schema:familyName Henrys
    93 schema:givenName P. A.
    94 rdf:type schema:Person
    95 N1615d8d1a4454322b4f1bdf33137e3cd schema:affiliation https://www.grid.ac/institutes/grid.444573.5
    96 schema:familyName Prasad
    97 schema:givenName G.
    98 rdf:type schema:Person
    99 N2077f54a57ab4da98215255c9e036706 schema:name readcube_id
    100 schema:value dd7c30eae250776f066d4a3b2543e11b70ab37ff1b4123a8368770d064c2438c
    101 rdf:type schema:PropertyValue
    102 N3ad2c188c7854478a7177d91ce0d8c14 rdf:first N78547ca8e03c4dcaa744c3087d221cb3
    103 rdf:rest Ne4e59e7c61d84067a5c048058259a6da
    104 N51c1159b064e41e2a3ec16991d2655e2 schema:volumeNumber 9
    105 rdf:type schema:PublicationVolume
    106 N5dbfe6e632684b08b3d37ed104ed826e schema:affiliation https://www.grid.ac/institutes/grid.464968.1
    107 schema:familyName Gajendragad
    108 schema:givenName M. R.
    109 rdf:type schema:Person
    110 N62b338aa3bd94fe3a48ee1bd21ddd8ad schema:name doi
    111 schema:value 10.1038/s41598-019-40450-8
    112 rdf:type schema:PropertyValue
    113 N67e414067b9f4e4587384013b6d628a8 schema:affiliation https://www.grid.ac/institutes/grid.9835.7
    114 schema:familyName Sedda
    115 schema:givenName L.
    116 rdf:type schema:Person
    117 N6bdc14447e374fa58e420c1a79ddeea0 rdf:first N0c6d5fbea3fd45e6a2226bfee6c9987a
    118 rdf:rest Nfff9d2e2a6bb416eb9d6a0a380df115b
    119 N78547ca8e03c4dcaa744c3087d221cb3 schema:affiliation https://www.grid.ac/institutes/grid.63622.33
    120 schema:familyName Carpenter
    121 schema:givenName S.
    122 rdf:type schema:Person
    123 N79ef97d26c2b4295b57a6c4822e4e8de schema:name dimensions_id
    124 schema:value pub.1112706482
    125 rdf:type schema:PropertyValue
    126 N9ac496a27aa8421491d712836df175b1 rdf:first Nb6882392d244428bad24d9bdf1614a1d
    127 rdf:rest rdf:nil
    128 Nac28411c479f41948ef5607f1bd6df37 schema:affiliation https://www.grid.ac/institutes/grid.464968.1
    129 schema:familyName Chanda
    130 schema:givenName M. M.
    131 rdf:type schema:Person
    132 Naf3ace185fe04632bdc61869e14f7327 schema:name pubmed_id
    133 schema:value 30862821
    134 rdf:type schema:PropertyValue
    135 Nb6882392d244428bad24d9bdf1614a1d schema:affiliation https://www.grid.ac/institutes/grid.494924.6
    136 schema:familyName Purse
    137 schema:givenName B. V.
    138 rdf:type schema:Person
    139 Nc6e38987eda04d6a8565cb73c021f6d6 rdf:first N67e414067b9f4e4587384013b6d628a8
    140 rdf:rest N6bdc14447e374fa58e420c1a79ddeea0
    141 Nca1871f1db4a401c9b7b4a3085db4efb schema:name nlm_unique_id
    142 schema:value 101563288
    143 rdf:type schema:PropertyValue
    144 Ncb1738b418fc4cc28b00a41953f487ee rdf:first Nac28411c479f41948ef5607f1bd6df37
    145 rdf:rest N3ad2c188c7854478a7177d91ce0d8c14
    146 Ne4e59e7c61d84067a5c048058259a6da rdf:first N1615d8d1a4454322b4f1bdf33137e3cd
    147 rdf:rest Nc6e38987eda04d6a8565cb73c021f6d6
    148 Ne8b08c244afb484194a38da8c3b73fb1 schema:issueNumber 1
    149 rdf:type schema:PublicationIssue
    150 Nfff9d2e2a6bb416eb9d6a0a380df115b rdf:first N5dbfe6e632684b08b3d37ed104ed826e
    151 rdf:rest N9ac496a27aa8421491d712836df175b1
    152 anzsrc-for:07 schema:inDefinedTermSet anzsrc-for:
    153 schema:name Agricultural and Veterinary Sciences
    154 rdf:type schema:DefinedTerm
    155 anzsrc-for:0707 schema:inDefinedTermSet anzsrc-for:
    156 schema:name Veterinary Sciences
    157 rdf:type schema:DefinedTerm
    158 sg:grant.2752343 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-019-40450-8
    159 rdf:type schema:MonetaryGrant
    160 sg:grant.2768934 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-019-40450-8
    161 rdf:type schema:MonetaryGrant
    162 sg:grant.7085057 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-019-40450-8
    163 rdf:type schema:MonetaryGrant
    164 sg:journal.1045337 schema:issn 2045-2322
    165 schema:name Scientific Reports
    166 rdf:type schema:Periodical
    167 sg:pub.10.1007/978-1-4757-2917-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035961913
    168 https://doi.org/10.1007/978-1-4757-2917-7
    169 rdf:type schema:CreativeWork
    170 sg:pub.10.1007/bf00116466 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041821886
    171 https://doi.org/10.1007/bf00116466
    172 rdf:type schema:CreativeWork
    173 sg:pub.10.1007/bf02239801 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032714817
    174 https://doi.org/10.1007/bf02239801
    175 rdf:type schema:CreativeWork
    176 sg:pub.10.1007/s00484-016-1301-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011576629
    177 https://doi.org/10.1007/s00484-016-1301-1
    178 rdf:type schema:CreativeWork
    179 sg:pub.10.1007/s12639-014-0544-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045942891
    180 https://doi.org/10.1007/s12639-014-0544-1
    181 rdf:type schema:CreativeWork
    182 sg:pub.10.1038/17512 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030387150
    183 https://doi.org/10.1038/17512
    184 rdf:type schema:CreativeWork
    185 sg:pub.10.1038/srep05746 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029376637
    186 https://doi.org/10.1038/srep05746
    187 rdf:type schema:CreativeWork
    188 sg:pub.10.1186/1476-072x-9-54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033267206
    189 https://doi.org/10.1186/1476-072x-9-54
    190 rdf:type schema:CreativeWork
    191 sg:pub.10.1186/1756-0500-7-691 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029350940
    192 https://doi.org/10.1186/1756-0500-7-691
    193 rdf:type schema:CreativeWork
    194 sg:pub.10.1186/1756-3305-7-34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005696898
    195 https://doi.org/10.1186/1756-3305-7-34
    196 rdf:type schema:CreativeWork
    197 sg:pub.10.1186/s13071-016-1722-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1023782583
    198 https://doi.org/10.1186/s13071-016-1722-z
    199 rdf:type schema:CreativeWork
    200 sg:pub.10.1186/s13071-016-1733-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024381010
    201 https://doi.org/10.1186/s13071-016-1733-9
    202 rdf:type schema:CreativeWork
    203 https://app.dimensions.ai/details/publication/pub.1035961913 schema:CreativeWork
    204 https://app.dimensions.ai/details/publication/pub.1078150446 schema:CreativeWork
    205 https://app.dimensions.ai/details/publication/pub.1078150449 schema:CreativeWork
    206 https://app.dimensions.ai/details/publication/pub.1078150453 schema:CreativeWork
    207 https://doi.org/10.1002/asl.232 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033005930
    208 rdf:type schema:CreativeWork
    209 https://doi.org/10.1002/joc.1276 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032895020
    210 rdf:type schema:CreativeWork
    211 https://doi.org/10.1016/0378-1135(91)90103-m schema:sameAs https://app.dimensions.ai/details/publication/pub.1011929661
    212 rdf:type schema:CreativeWork
    213 https://doi.org/10.1016/j.antiviral.2013.07.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022632100
    214 rdf:type schema:CreativeWork
    215 https://doi.org/10.1016/j.gloplacha.2014.07.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021738733
    216 rdf:type schema:CreativeWork
    217 https://doi.org/10.1016/j.jcpa.2009.04.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030368836
    218 rdf:type schema:CreativeWork
    219 https://doi.org/10.1016/j.prevetmed.2009.11.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018191977
    220 rdf:type schema:CreativeWork
    221 https://doi.org/10.1016/j.prevetmed.2012.12.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002381686
    222 rdf:type schema:CreativeWork
    223 https://doi.org/10.1016/j.prevetmed.2017.01.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054083386
    224 rdf:type schema:CreativeWork
    225 https://doi.org/10.1016/j.smallrumres.2016.11.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014486695
    226 rdf:type schema:CreativeWork
    227 https://doi.org/10.1016/s0378-1135(98)00255-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045064640
    228 rdf:type schema:CreativeWork
    229 https://doi.org/10.1017/cbo9780511790942 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098675208
    230 rdf:type schema:CreativeWork
    231 https://doi.org/10.1017/s0007485300011032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025425460
    232 rdf:type schema:CreativeWork
    233 https://doi.org/10.1098/rsif.2007.1110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024095026
    234 rdf:type schema:CreativeWork
    235 https://doi.org/10.1098/rsif.2016.0481 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084197048
    236 rdf:type schema:CreativeWork
    237 https://doi.org/10.1098/rstb.2013.0551 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024249199
    238 rdf:type schema:CreativeWork
    239 https://doi.org/10.1111/1467-9868.00353 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047288536
    240 rdf:type schema:CreativeWork
    241 https://doi.org/10.1111/brv.12149 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013430732
    242 rdf:type schema:CreativeWork
    243 https://doi.org/10.1111/j.0006-341x.2001.00197.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1033930752
    244 rdf:type schema:CreativeWork
    245 https://doi.org/10.1111/j.1365-2915.2011.00991.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1050200059
    246 rdf:type schema:CreativeWork
    247 https://doi.org/10.1111/j.1365-2915.2012.01032.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1016470672
    248 rdf:type schema:CreativeWork
    249 https://doi.org/10.1111/j.1365-2915.2012.01042.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1004498391
    250 rdf:type schema:CreativeWork
    251 https://doi.org/10.1111/j.1467-9868.2008.00700.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007468045
    252 rdf:type schema:CreativeWork
    253 https://doi.org/10.1111/j.1541-0420.2009.01247_2.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1016022361
    254 rdf:type schema:CreativeWork
    255 https://doi.org/10.1111/j.1600-0587.2012.07348.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1022525509
    256 rdf:type schema:CreativeWork
    257 https://doi.org/10.1111/tbed.12258 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049584652
    258 rdf:type schema:CreativeWork
    259 https://doi.org/10.1128/jvi.01672-12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037268693
    260 rdf:type schema:CreativeWork
    261 https://doi.org/10.1146/annurev-ento-010814-020614 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020108727
    262 rdf:type schema:CreativeWork
    263 https://doi.org/10.1146/annurev-ento-120709-144847 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022877176
    264 rdf:type schema:CreativeWork
    265 https://doi.org/10.1146/annurev.en.41.010196.000323 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047686629
    266 rdf:type schema:CreativeWork
    267 https://doi.org/10.1146/annurev.ento.45.1.307 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047530601
    268 rdf:type schema:CreativeWork
    269 https://doi.org/10.1177/0962280216660421 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063904048
    270 rdf:type schema:CreativeWork
    271 https://doi.org/10.1198/016214506000001437 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064198608
    272 rdf:type schema:CreativeWork
    273 https://doi.org/10.1214/16-sts576 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084620386
    274 rdf:type schema:CreativeWork
    275 https://doi.org/10.1371/journal.pcbi.1005470 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084509255
    276 rdf:type schema:CreativeWork
    277 https://doi.org/10.1371/journal.pntd.0003325 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052141428
    278 rdf:type schema:CreativeWork
    279 https://doi.org/10.1371/journal.pone.0043360 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003785161
    280 rdf:type schema:CreativeWork
    281 https://doi.org/10.1371/journal.pone.0112491 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038029098
    282 rdf:type schema:CreativeWork
    283 https://doi.org/10.1371/journal.pone.0131021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045873405
    284 rdf:type schema:CreativeWork
    285 https://doi.org/10.1371/journal.pone.0151151 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049036142
    286 rdf:type schema:CreativeWork
    287 https://doi.org/10.1603/me11235 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068123325
    288 rdf:type schema:CreativeWork
    289 https://doi.org/10.1890/14-1639.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043532552
    290 rdf:type schema:CreativeWork
    291 https://doi.org/10.20506/rst.23.3.1515 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068792079
    292 rdf:type schema:CreativeWork
    293 https://doi.org/10.4102/jsava.v77i4.376 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072225036
    294 rdf:type schema:CreativeWork
    295 https://www.grid.ac/institutes/grid.444573.5 schema:alternateName Sardar Vallabhbhai Patel University of Agriculture & Technology
    296 schema:name Sardar Vallabhbhai Patel University of Agriculture and Technology, NH 58, Roorkee Road, Modipuram, 250110, Meerut, India
    297 rdf:type schema:Organization
    298 https://www.grid.ac/institutes/grid.464968.1 schema:alternateName National Institute Of Veterinary Epidemiology And Disease Informatics
    299 schema:name ICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, India
    300 rdf:type schema:Organization
    301 https://www.grid.ac/institutes/grid.494924.6 schema:alternateName Centre for Ecology and Hydrology
    302 schema:name Centre for Ecology and Hydrology, Benson Lane, Crowmarsh Gifford, OX10 8BB, Oxfordshire, UK
    303 rdf:type schema:Organization
    304 https://www.grid.ac/institutes/grid.63622.33 schema:alternateName Pirbright Institute
    305 schema:name The Pirbright Institute, Ash Road, Woking, GU24 0NF, Surrey, UK
    306 rdf:type schema:Organization
    307 https://www.grid.ac/institutes/grid.9835.7 schema:alternateName Lancaster University
    308 schema:name Centre for Ecology and Hydrology, Lancaster Environment Centre, Bailrigg, LA1 4AP, Lancaster, UK
    309 Centre for Health Information, Computation and Statistics (CHICAS), Lancaster Medical School, Faculty of Health and Medicine, Furness Building, Lancaster University, LA1 4YG, Lancaster, UK
    310 rdf:type schema:Organization
     




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


    ...