Real-time Metagenomic Analysis of Undiagnosed Fever Cases Unveils a Yellow Fever Outbreak in Edo State, Nigeria

Author:

Ajogbasile Fehintola V.,Oguzie Judith U.,Oluniyi Paul E.,Eromon Philomena E.,Uwanibe Jessica N.,Mehta Samar B.,Siddle Katherine J.,Odia Ikponmwosa,Winnicki Sarah M.,Akpede Nosa,Akpede George,Okogbenin Sylvanus,Ogbaini-Emovon Ephraim,MacInnis Bronwyn L.,Folarin Onikepe A.,Modjarrad Kayvon,Schaffner Stephen F.,Tomori Oyewale,Ihekweazu Chikwe,Sabeti Pardis C.,Happi Christian T.

Abstract

AbstractFifty patients with unexplained fever and poor outcomes presented at Irrua Specialist Teaching Hospital (ISTH) in Edo State, Nigeria, an area endemic for Lassa fever, between September 2018 - January 2019. After ruling out Lassa fever, plasma samples from these epidemiologically-linked cases were sent to the African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria, where we carried out metagenomic sequencing which implicated yellow fever virus (YFV) as the etiology of this outbreak. Twenty-nine of the 50 samples were confirmed positive for YFV by reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR), 14 of which resulted in genome assembly. Maximum likelihood phylogenetic analysis revealed that these YFV sequences formed a tightly clustered clade more closely related to sequences from Senegal than sequences from earlier Nigerian isolates, suggesting that the YFV clade responsible for this outbreak in Edo State does not descend directly from the Nigerian YFV outbreaks of the last century, but instead reflects a broader diversity and dynamics of YFV in West Africa. Here we demonstrate the power of metagenomic sequencing for identifying ongoing outbreaks and their etiologies and informing real-time public health responses, resulting in accurate and prompt disease management and control.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference25 articles.

1. The World Health Organization (WHO) 2018 Fact sheet https://www.who.int/news-room/fact-sheets/detail/yellow-fever (2019).

2. Garske, T. et al. Yellow fever in Africa: estimating the burden of disease and impact of mass vaccination from outbreak and serological data. Plos Medicine. 11, 5 (2014).

3. Barrett, A. D. T. The reemergence of yellow fever. Science. 361(6405), 847–848 (2018).

4. Nigerian Center for Disease Control (NCDC). An update of yellow fever outbreak in Nigeria for week 11 https://ncdc.gov.ng/diseases/sitreps/?cat=10&name=An%20update%20of%20Yellow%20Fever%20outbreak%20in%20Nigeria (2019).

5. The World Health Organization (WHO) 2019 Yellow fever fact sheet https://www.who.int/news-room/fact-sheets/detail/yellow-fever (2019).

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