yvandenbroek
/
sprookjes
/
Login
Register
TriplyDB
sprookjes
Browser
Triples
Insights
Schema
BETA
Class frequency
Class hierarchy
SPARQL
GraphQL
BETA
Graphs
2
Q34396130-041F40FE-ECE0-44E6-BDE6-23256F232D90
Q34396130-041F40FE-ECE0-44E6-BDE6-23256F232D90
BestRank
Statement
http://www.wikidata.org/entity/statement/Q34396130-041F40FE-ECE0-44E6-BDE6-23256F232D90
Combining hydrology and mosquito population models to identify the drivers of Rift Valley fever emergence in semi-arid regions of West Africa.
P2860
Q34396130-041F40FE-ECE0-44E6-BDE6-23256F232D90
BestRank
Statement
http://www.wikidata.org/entity/statement/Q34396130-041F40FE-ECE0-44E6-BDE6-23256F232D90
rank
NormalRank
type
BestRank
Statement
wasDerivedFrom
09bcbe9e5b906249498a50e747a4f844cbaefe13
P2860
Climate and satellite indicators to forecast Rift Valley fever epidemics in Kenya.