Spatial trypanosomosis management: From data - layers to decision making
The use of geographical information systems (GIS) in the management of African animal trypanosomosis in sub-Saharan Africa offers potential in assisting decisions on allocation of resources, prioritization of control areas, and planning and management of field operations. Here, Guy Hendrickx and col...
| Autores principales: | , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2001
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/33189 |
| _version_ | 1855515739145895936 |
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| author | Hendrickx, G. Rocque, S. de la Reid, Robin S. Wint, W. |
| author_browse | Hendrickx, G. Reid, Robin S. Rocque, S. de la Wint, W. |
| author_facet | Hendrickx, G. Rocque, S. de la Reid, Robin S. Wint, W. |
| author_sort | Hendrickx, G. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The use of geographical information systems (GIS) in the management of African animal trypanosomosis in sub-Saharan Africa offers potential in assisting decisions on allocation of resources, prioritization of control areas, and planning and management of field operations. Here, Guy Hendrickx and colleagues review approaches being used to develop reliable data layers and to incorporate these data into GIS models. They argue that techniques should be further refined to produce more-detailed data layers and to include a dynamic element. a problem rarely addressed until now. |
| format | Journal Article |
| id | CGSpace33189 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2001 |
| publishDateRange | 2001 |
| publishDateSort | 2001 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace331892024-04-25T06:00:21Z Spatial trypanosomosis management: From data - layers to decision making Hendrickx, G. Rocque, S. de la Reid, Robin S. Wint, W. trypanosomiasis management decision making geographical information systems models methods infectious diseases parasitology The use of geographical information systems (GIS) in the management of African animal trypanosomosis in sub-Saharan Africa offers potential in assisting decisions on allocation of resources, prioritization of control areas, and planning and management of field operations. Here, Guy Hendrickx and colleagues review approaches being used to develop reliable data layers and to incorporate these data into GIS models. They argue that techniques should be further refined to produce more-detailed data layers and to include a dynamic element. a problem rarely addressed until now. 2001-01 2013-07-03T05:26:12Z 2013-07-03T05:26:12Z Journal Article https://hdl.handle.net/10568/33189 en Limited Access Elsevier Trends in Parasitology;17(1): 35-41 |
| spellingShingle | trypanosomiasis management decision making geographical information systems models methods infectious diseases parasitology Hendrickx, G. Rocque, S. de la Reid, Robin S. Wint, W. Spatial trypanosomosis management: From data - layers to decision making |
| title | Spatial trypanosomosis management: From data - layers to decision making |
| title_full | Spatial trypanosomosis management: From data - layers to decision making |
| title_fullStr | Spatial trypanosomosis management: From data - layers to decision making |
| title_full_unstemmed | Spatial trypanosomosis management: From data - layers to decision making |
| title_short | Spatial trypanosomosis management: From data - layers to decision making |
| title_sort | spatial trypanosomosis management from data layers to decision making |
| topic | trypanosomiasis management decision making geographical information systems models methods infectious diseases parasitology |
| url | https://hdl.handle.net/10568/33189 |
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