CGSpaceA Repository of Agricultural Research Outputs
    View Item 
    •   CGSpace Home
    • International Livestock Research Institute (ILRI)
    • ILRI presentations
    • View Item
       
    • CGSpace Home
    • International Livestock Research Institute (ILRI)
    • ILRI presentations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Framework for assessing the economic costs and burdens of zoonotic disease

    Thumbnail
    View/Open
    Presentation (748.1Kb)
    Authors
    Shaw, Alison
    Scoones, I.
    Leach, M.
    Wanyoike, Francis N.
    Grace, Delia
    Date Issued
    2014-08
    Language
    en
    Type
    Presentation
    Accessibility
    Open Access
    Metadata
    Show full item record
    Share
    
    Citation
    Shaw, A., Scoones, I., Leach, M., Wanyoike, F. and Grace, D. 2014. Framework for assessing the economic costs and burdens of zoonotic disease. Presentation during a special session on 'Integrative approaches to disease modelling' at the EcoHealth 2014 conference, Montreal, Canada, 11-15 August 2014.
    Permanent link to cite or share this item: https://hdl.handle.net/10568/43762
    External link to download this item: https://www.slideshare.net/ILRI/framework-for-assessing-the-economic-costs-and-burdens-of-zoonoses
    CGIAR Author ORCID iDs
    Francis Wanyoikehttps://orcid.org/0000-0002-1907-1410
    Delia Gracehttps://orcid.org/0000-0002-0195-9489
    Other CGIAR Affiliations
    Agriculture for Nutrition and Health
    AGROVOC Keywords
    zoonoses; animal diseases
    Subjects
    AGRI-HEALTH; ANIMAL DISEASES; EMERGING DISEASES; ZOONOTIC DISEASES;
    Regions
    Africa; Eastern Africa; Western Africa
    Collections
    • Dynamic drivers of disease in Africa [74]
    • ILRI presentations [1761]

    Show Statistical Information


    AboutPrivacy StatementSend Feedback
     

    My Account

    LoginRegister

    Browse

    All of CGSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy RegionBy CountryBy SubregionBy River basinBy Output typeBy CIP subjectBy CGIAR System subjectBy Alliance Bioversity–CIAT subjectThis CollectionBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy RegionBy CountryBy SubregionBy River basinBy Output typeBy CIP subjectBy CGIAR System subjectBy Alliance Bioversity–CIAT subject

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    AboutPrivacy StatementSend Feedback