Abstract
The yellow fever virus (YFV) epidemic in Brazil is the largest in decades. The recent discovery of YFV in Brazilian Aedes species mosquitos highlights a need to monitor the risk of reestablishment of urban YFV transmission in the Americas. We use a suite of epidemiological, spatial, and genomic approaches to characterize YFV transmission. We show that the age and sex distribution of human cases is characteristic of sylvatic transmission. Analysis of YFV cases combined with genomes generated locally reveals an early phase of sylvatic YFV transmission and spatial expansion toward previously YFV-free areas, followed by a rise in viral spillover to humans in late 2016. Our results establish a framework for monitoring YFV transmission in real time that will contribute to a global strategy to eliminate future YFV epidemics.
Original language | English |
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Pages (from-to) | 894-899 |
Number of pages | 6 |
Journal | Science |
Volume | 361 |
Issue number | 6405 |
DOIs | |
Publication status | Published - 31 Aug 2018 |
Bibliographical note
Funding Information:We thank FUNED-MG and the Brazilian YFV surveillance network for their contributions. N.R.F. thanks J. F. Drexler for sharing data, N. Trovão for discussions, F. Campos for proof imaging, and P. Fonseca for proofreading. We thank Oxford Nanopore Technologies for technical support. L.C.J.A. thanks QIAGEN for reagents and equipment. A.C.d.C. and E.C.S. thank Illumina, Zymo Research, Sage Science, and Promega for donation of reagents. This work was supported in part by CNPq 400354/ 2016-0 and FAPESP 2016/01735-2. N.R.F. is supported by a Sir Henry Dale Fellowship (204311/Z/16/Z), internal GCRF grant 005073, and John Fell Research Fund grant 005166. This research received funding from the ERC (grant agreement 614725-PATHPHYLODYN) and from the Oxford Martin School. M.U.G.K. acknowledges funding from a Branco Weiss Fellowship, administered by ETH Zurich, a Training Grant from the National Institute of Child Health and Human Development (T32HD040128), and the National Library of Medicine of the National Institutes of Health (R01LM010812 and R01LM011965). S.D. is funded by the Fonds Wetenschappelijk Onderzoek (FWO, Flanders, Belgium). G.B. acknowledges support from the Interne Fondsen KU Leuven/Internal Funds KU Leuven. A.C.d.C. is funded by FAPESP 2017/00021-9. B.B.N. and S.C. are supported by the EU’s Horizon 2020 Programme through ZIKAlliance (grant 734548), the Investissement d’Avenir program, the Laboratoire d’Excellence Integrative Biology of Emerging Infectious Diseases program (grant ANR-10-LABX-62-IBEID), the Models of Infectious Disease Agent Study of the National Institute of General Medical Sciences, the AXA Research Fund, and the Association Robert Debré. P.L. and M.A.S. acknowledge funding from the European Research Council (grant agreement 725422-ReservoirDOCS) and from the Wellcome Trust Collaborative Award 206298/Z/17/Z. P.L. acknowledges support from the Research Foundation, Flanders (Fonds voor Wetenschappelijk Onderzoek, Vlaanderen, G066215N, G0D5117N, and G0B9317N).
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2017 © The Authors,