TY - JOUR
T1 - Integration of genomic sequencing into the response to the Ebola virus outbreak in Nord Kivu, Democratic Republic of the Congo
AU - Kinganda-Lusamaki, Eddy
AU - Black, Allison
AU - Mukadi, Daniel B.
AU - Hadfield, James
AU - Mbala-Kingebeni, Placide
AU - Pratt, Catherine B.
AU - Aziza, Amuri
AU - Diagne, Moussa M.
AU - White, Bailey
AU - Bisento, Nella
AU - Nsunda, Bibiche
AU - Akonga, Marceline
AU - Faye, Martin
AU - Faye, Ousmane
AU - Edidi-Atani, Francois
AU - Matondo-Kuamfumu, Meris
AU - Mambu-Mbika, Fabrice
AU - Bulabula, Junior
AU - Di Paola, Nicholas
AU - Pauthner, Matthias G.
AU - Andersen, Kristian G.
AU - Palacios, Gustavo
AU - Delaporte, Eric
AU - Sall, Amadou Alpha
AU - Peeters, Martine
AU - Wiley, Michael R.
AU - Ahuka-Mundeke, Steve
AU - Bedford, Trevor
AU - Tamfum, Jean Jacques Muyembe
N1 - Funding Information:
Sequencing activities were supported by the Defense Biological Product Assurance Office through a task order award to the National Strategic Research Institute (no. FA4600-12-D-9000) and Gates Foundation (no. INV-004176) awarded to C.P.P. This work was supported in part by grants from Institut National de la Santé et de la Recherche Médicale/the Ebola Task Force/REACTing, EBO-SURSY project funded by the European Union and Institut de Recherche pour le Développement (IRD). A.B. was supported by the National Science Foundation Graduate Research Fellowship Program under grant no. DGE-1256082. P.M.-K. was awarded a PhD grant from IRD. K.G.A. is a Pew Biomedical Scholar and is supported by NIH grant nos. U01AI151812, U19AI135995 and UL1TR002550. T.B. is a Pew Biomedical Scholar and is supported by NIH grant no. R35 GM119774-01. Computational infrastructure and in-country training were supported by the Fogarty International Center (NIH/CRDF Global, no. FOGX-19-90402-1) and the Bill and Melinda Gates Foundation (no. INV-003565). The content of this article does not necessarily represent the official policy or views of the US Department of the Army, the US Department of Defense, the US Department of Health and Human Services, the US Government or the institutions or companies affiliated with the authors.
Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature America, Inc.
PY - 2021/4
Y1 - 2021/4
N2 - 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.
AB - 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.
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U2 - 10.1038/s41591-021-01302-z
DO - 10.1038/s41591-021-01302-z
M3 - Article
C2 - 33846610
AN - SCOPUS:85104256654
VL - 27
SP - 710
EP - 716
JO - Nature Medicine
JF - Nature Medicine
SN - 1078-8956
IS - 4
ER -