Ontology highlight
ABSTRACT: Background
Since late 2015, an epidemic of yellow fever has caused more than 7334 suspected cases in Angola and the Democratic Republic of the Congo, including 393 deaths. We sought to understand the spatial spread of this outbreak to optimise the use of the limited available vaccine stock.Methods
We jointly analysed datasets describing the epidemic of yellow fever, vector suitability, human demography, and mobility in central Africa to understand and predict the spread of yellow fever virus. We used a standard logistic model to infer the district-specific yellow fever virus infection risk during the course of the epidemic in the region.Findings
The early spread of yellow fever virus was characterised by fast exponential growth (doubling time of 5-7 days) and fast s
SUBMITTER: Kraemer MUG
PROVIDER: S-EPMC5332542 | biostudies-literature | 2017 Mar
REPOSITORIES: biostudies-literature