Scientific ReportsGenomicsPeer-reviewed journal article
Real-time Metagenomic Analysis of Undiagnosed Fever Cases Unveils a Yellow Fever Outbreak in Edo State, Nigeria
Fehintola Victoria AjogbasileiD, Judith Uche OguzieiD, Paul E. OluniyiiD, Philomena Eromon, Jessica N. UwanibeiD, Samar B. MehtaiD, Katherine J. SiddleiD, Ikponmwosa OdiaiD, Sarah M. Winnicki, Nosa Akpede, George O. AkpedeiD, Sylvanus Akhalufo OkogbeniniD, Ephraim Ogbaini-EmovoniD, Bronwyn L. MacInnisiD, Onikepe A. FolariniD, Kayvon ModjarradiD, Stephen F. SchaffneriD, Oyewale TomoriiD, Chikwe A IhekweazuiD, Pardis Christine SabetiiD, Christian Tientcha HappiiD
Abstract
We report here the use of metagenomic sequencing to identify and characterize yellow fever virus (YFV) in a cluster of undiagnosed febrile patients from Edo State, Nigeria. Yellow fever, an acute mosquito-borne viral haemorrhagic fever, re-emerged in Nigeria in 2017 after decades of relative control.1 Once a major public health concern in the region,2 the prolonged absence of yellow fever has left a gap in knowledge about circulating virus and lowered clinical suspicion for a disease whose spectrum overlaps with endemic infections (e.g., malaria and Lassa fever). In this context, metagenomic sequencing can be a powerful tool for identifying and tracking pathogens causing infectious disease.3\n\nPlasma samples from thirteen epidemiologically-linked patients with unexplained, often fatal, fever were sent from Irrua Specialist Teaching Hospital to the African Center of Excellence for Genomics of ...
- organism: human
- assay: metagenomics
- research focus: differential expression
- approach: statistical model
- Citations
- 54
- FWCI
- 6.36
- Field percentile
- top 3%
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