the global livestock impact mapping system (glims) as a tool for animal health applications

the global livestock impact mapping system (glims) as a tool for animal health applications

;Gianluca Franceschini;Timothy P. Robinson;Karl Morteo;Dario Dentale;William Wint;Joachim Otte
pain research & management 2009 Vol. 45 pp. 491-499
263
franceschini2009veterinariathe

Abstract

Recent concerns expressed by various national and international organisations about global livestock sector development and its consequences on the environment and on human and animal health suggest the need to reinforce efforts to monitor and collect more accurate and detailed statistics on livestock. Modern technologies for the organisation, analysis, dissemination and presentation of data and results enhance the contribution that these statistics can make towards the planning of efficient and sustainable animal production and health interventions. To this end, the Food and Agriculture Organization Animal Production and Health Division (FAO-AGA) has developed the Global Livestock Impact Mapping System (GLIMS). GLIMS provides a repository for sub-national data pertaining to the livestock sector and produces and distributes, through various channels and formats, a number of global public products, namely: the Gridded Livestock of the World (GLW), mapping the spatial distribution of the main livestock species, the Global Livestock Production and Health Atlas (GLiPHA), disseminating sub-national geo-referenced statistics, and the AGA Livestock Sector Briefs, which are concise national reports on the livestock sector. These products have a variety of applications. The authors focus attention on applications in the field of animal health, both to increase knowledge of the occurrence of livestock diseases and to assess their impact.

Citation

ID: 248307
Ref Key: franceschini2009veterinariathe
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
248307
Unique Identifier:
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet