Disease intelligence and modelling for progressive control of animal trypanosomosis in Africa
| dc.coverage | Africa | |
| dc.creator | Cecchi, G.; Ngari, N.; Paone, M.; de Gier, J.; Onyango, S.; Barreaux, A.; Thévenon, S.; Solano, P.; Kaye, A.; Tennant, W.; Tildesley, M.J.; Halos, L.; | |
| dc.date | 2025-09-16T16:16:55Z | |
| dc.date | 2025-09-16T16:16:55Z | |
| dc.date | 2025 | |
| dc.date | 2025-09-16T16:13:29Z | |
| dc.date.accessioned | 2026-06-27T22:55:54Z | |
| dc.description | The transformation of livestock production underway in Africa to support a growing population and the livelihood of farmers cannot be implemented without controlling major endemic diseases, such as vector-borne animal trypanosomosis. Evidence-based decision-making is crucial for cost-effective trypanosomosis control, and through coordinated efforts, disease intelligence is being enhanced at the continental and national level. Information systems on the disease and its vectors (‘atlases’) have been established for Africa and in 14 high-burden countries. These initiatives underpin the progressive control pathway (PCP), a strategic approach that is being rolled out across the continent. However, information systems need continuous updates, enhanced dissemination and in-depth data analysis, including modelling, if their full potential is to be realized. | |
| dc.format | 15 p. | |
| dc.format | application/pdf | |
| dc.identifier | https://openknowledge.fao.org/handle/20.500.14283/cd6875en | |
| dc.identifier.uri | http://hdl.handle.net/123456789/267065 | |
| dc.language | English | |
| dc.publisher | Elsevier B.V. ; | |
| dc.rights | FAO | |
| dc.rights | CC BY 4.0 | |
| dc.title | Disease intelligence and modelling for progressive control of animal trypanosomosis in Africa | |
| dc.type | Article |