| Literature DB >> 33846610 |
Eddy Kinganda-Lusamaki1,2, Allison Black3,4, Daniel B Mukadi5, James Hadfield4, Placide Mbala-Kingebeni6,5, Catherine B Pratt7, Amuri Aziza6, Moussa M Diagne8, Bailey White7, Nella Bisento6, Bibiche Nsunda6, Marceline Akonga6, Martin Faye8, Ousmane Faye8, Francois Edidi-Atani6,5, Meris Matondo-Kuamfumu6,5, Fabrice Mambu-Mbika6,5, Junior Bulabula6,5, Nicholas Di Paola9, Matthias G Pauthner10, Kristian G Andersen10, Gustavo Palacios9, Eric Delaporte11, Amadou Alpha Sall8, Martine Peeters11, Michael R Wiley7, Steve Ahuka-Mundeke6,5, Trevor Bedford12,13, Jean-Jacques Muyembe Tamfum6,5.
Abstract
On 1 August 2018, the Democratic Republic of the Congo (DRC) declared its tenth Ebola virus disease (EVD) outbreak. To aid the epidemiologic response, the Institut National de Recherche Biomédicale (INRB) implemented an end-to-end genomic surveillance system, including sequencing, bioinformatic analysis and dissemination of genomic epidemiologic results to frontline public health workers. We report 744 new genomes sampled between 27 July 2018 and 27 April 2020 generated by this surveillance effort. Together with previously available sequence data (n = 48 genomes), these data represent almost 24% of all laboratory-confirmed Ebola virus (EBOV) infections in DRC in the period analyzed. We inferred spatiotemporal transmission dynamics from the genomic data as new sequences were generated, and disseminated the results to support epidemiologic response efforts. Here we provide an overview of how this genomic surveillance system functioned, present a full phylodynamic analysis of 792 Ebola genomes from the Nord Kivu outbreak and discuss how the genomic surveillance data informed response efforts and public health decision making.Entities:
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Year: 2021 PMID: 33846610 PMCID: PMC8549801 DOI: 10.1038/s41591-021-01302-z
Source DB: PubMed Journal: Nat Med ISSN: 1078-8956 Impact factor: 53.440