The role of data in predicting and responding to emerging zoonotic diseases
| cg.authorship.types | CGIAR single centre | en |
| cg.contributor.affiliation | International Livestock Research Institute | en |
| cg.contributor.crp | Agriculture for Nutrition and Health | |
| cg.creator.identifier | Delia Grace: 0000-0002-0195-9489 | |
| cg.howPublished | Grey Literature | en |
| cg.identifier.url | https://youtu.be/SPTp3LjZ5sI?t=1239 | en |
| cg.place | Midlothian, UK | en |
| cg.reviewStatus | Internal Review | en |
| cg.subject.ilri | ANIMAL DISEASES | en |
| cg.subject.ilri | COVID19 | en |
| cg.subject.ilri | DISEASE CONTROL | en |
| cg.subject.ilri | EMERGING DISEASES | en |
| cg.subject.ilri | ZOONOTIC DISEASES | en |
| dc.contributor.author | Grace, Delia | en |
| dc.date.accessioned | 2020-09-01T14:39:14Z | en |
| dc.date.available | 2020-09-01T14:39:14Z | en |
| dc.identifier.uri | https://hdl.handle.net/10568/109149 | |
| dc.title | The role of data in predicting and responding to emerging zoonotic diseases | en |
| dcterms.accessRights | Open Access | |
| dcterms.audience | Scientists | en |
| dcterms.bibliographicCitation | Grace, D. 2020. The role of data in predicting and responding to emerging zoonotic diseases. Contribution to an online discussion: How can the Livestock Data for Decisions community respond to COVID-19? Video. 27 May 2020. Edinburgh: SEBI. | en |
| dcterms.issued | 2020-07-30 | |
| dcterms.language | en | |
| dcterms.license | Other | |
| dcterms.publisher | Livestock Data for Decisions | en |
| dcterms.subject | data | en |
| dcterms.subject | covid-19 | en |
| dcterms.subject | zoonoses | en |
| dcterms.subject | animal diseases | en |
| dcterms.type | Video |
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