Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add filters

Language
Year range
1.
BMC Genomics ; 23(1): 627, 2022 Sep 01.
Article in English | MEDLINE | ID: covidwho-2009353

ABSTRACT

Genomic surveillance and identification of COVID-19 outbreaks are important in understanding the genetic diversity, phylogeny, and lineages of SARS-CoV-2. Genomic surveillance provides insights into circulating infections, and the robustness and design of vaccines and other infection control approaches. We sequenced 57 SARS-CoV-2 isolates from a Kenyan clinical population, of which 55 passed quality checks using the Ultrafast Sample placement on the Existing tRee (UShER) workflow. Phylo-genome-temporal analyses across two regions in Kenya (Nairobi and Kiambu County) revealed that B.1.1.7 (Alpha; n = 32, 56.1%) and B.1 (n = 9, 15.8%) were the predominant lineages, exhibiting low Ct values (5-31) suggesting high infectivity, and variant mutations across the two regions. Lineages B.1.617.2, B.1.1, A.23.1, A.2.5.1, B.1.596, A, and B.1.405 were also detected across sampling sites within target populations. The lineages and genetic isolates were traced back to China (A), Costa Rica (A.2.5.1), Europe (B.1, B.1.1, A.23.1), the USA (B.1.405, B.1.596), South Africa (B.1.617.2), and the United Kingdom (B.1.1.7), indicating multiple introduction events. This study represents one of the genomic SARS-CoV-2 epidemiology studies in the Nairobi metropolitan area, and describes the importance of continued surveillance for pandemic control.


Subject(s)
COVID-19 , SARS-CoV-2 , COVID-19/epidemiology , Genome, Viral , Genomics , Humans , Kenya/epidemiology , Phylogeny , SARS-CoV-2/genetics
2.
researchsquare; 2021.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-942627.v1

ABSTRACT

Kenya’s COVID-19 epidemic was slow to peak. It was seeded early in March 2020, and did not peak until late-July 2020 (wave 1), mid-November 2020 (wave 2) and late-March 2021 (wave 3). Here we present SARS-CoV-2 lineages associated with the three COVID-19 waves through analysis of 483 genomes, which included 167 Alpha (B.1.1.7), 57 Delta (B.1.617.2) and 12 Beta (B.1.351) variants of concerns (VOC) that dominated the third wave. In total, 35 lineages were identified. The early European lineages B.1 and B.1.1 were the first to be seeded in Kenya. The B.1 lineage continued to expand and remained the most dominant lineage accounting for 55.8% and 56.3% in waves 1 and 2 respectively. The alpha (B.1.1.7), delta (B.1.167.2) and beta (B.1.351) VOCs dominated in wave 3 at 59.0%, 20.1% and 4.2% respectively. Eventually, the delta variant took over at the tail end of wave 3 and at the time of going to press, it had become the major lineage in the whole country. Phylogenetic analysis suggested multiple introductions of variants from outside Kenya especially during the first and third wave. Phylogeny also highlighted local lineage diversification as local transmission events supervened. The data highlights the importance of genome surveillance in determining circulating variants to aid in public health interventions.


Subject(s)
COVID-19
SELECTION OF CITATIONS
SEARCH DETAIL