Genomic Sequencing of SARS-COV-2 in Rwanda: evolution and regional dynamics
Yvan ButeraiD, Enatha MukantwariiD, Maria ArtesiiD, Jeanne d’Arc Umuringa, Aine Niamh O’TooleiD, Verity HilliD, Stefan RookeiD, Samuel Leandro HongiD, Simon DellicouriD, Onesphore MajyambereiD, Sébastien BontemsiD, Bouchra Boujemla, Josh Quick, Paola Cristina ResendeiD, Nick Loman, Espérance UmumararunguiD, Alice Kabanda, Marylin Milumbu Murindahabi, Patrick TuyisengeiD, Misbah GasheguiD, Jean Paul RwabihamaiD, Reuben Sindayiheba, Djordje GikiciD, Jacob SouopguiiD, Wilfred O. NdifoniD, , Nadine RujeniiD
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), responsible for coronavirus disease 19 (COVID-19), is a single-stranded positive-sense ribonucleic acid (RNA) virus that typically undergoes one to two single nucleotide mutations per month. COVID-19 continues to spread globally, with case fatality and test positivity rates often linked to locally circulating strains of SARS-CoV-2. Furthermore, mutations in this virus, in particular those occurring in the spike protein (involved in the virus binding to the host epithelial cells) have potential implications in current vaccination efforts. In Rwanda, more than twenty thousand cases have been confirmed as of March 14th 2021, with a case fatality rate of 1.4% and test positivity rate of 2.3% while the recovery rate is at 91.9%. Rwanda started its genomic surveillance efforts, taking advantage of pre-existing research projects and partnerships, to ensure early detection of SARS-CoV-2 variants and to potentially contain the spread of variants of concern (VOC). As a result of this initiative, we here present 203 SARS-CoV-2 whole genome sequences analyzed from strains circulating in the country from May 2020 to February 2021. In particular, we report a shift in variant distribution towards the newly emerging sub-lineage A.23.1 that is currently dominating. Furthermore, we report the detection of the first Rwandan cases of the VOCs, B.1.1.7 and B.1.351, among incoming travelers tested at Kigali International Airport. We also discuss the potential impact of COVID-19 control measures established in the country to control the spread of the virus. To assess the importance of viral introductions from neighboring countries and local transmission, we exploit available individual travel history metadata to inform spatio-temporal phylogeographic inference, enabling us to take into account infections from unsampled locations during the time frame of interest. We uncover an important role of neighboring countries in seeding introductions into Rwanda, including those from which no genomic sequences are currently available or that no longer report positive cases. Our results point to the importance of systematically screening all incoming travelers, regardless of the origin of their travels, as well as regional collaborations for durable response to COVID-19.
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