Investment in SARS-CoV-2 sequencing in Africa over the past year has led to a major increase in the number of sequences generated, now exceeding 100,000 genomes, used to track the pandemic on the continent. Our results show an increase in the number of African countries able to sequence domestically, and highlight that local sequencing enables faster turnaround time and more regular routine surveillance. Despite limitations of low testing proportions, findings from this genomic surveillance study underscore the heterogeneous nature of the pandemic and shed light on the distinct dispersal dynamics of Variants of Concern, particularly Alpha, Beta, Delta, and Omicron, on the continent. Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve, while the continent faces many emerging and re-emerging infectious disease threats. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century.

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.

Background Kenya’s COVID-19 epidemic was seeded early in March 2020 and did not peak until early August 2020 (wave 1), late-November 2020 (wave 2), mid-April 2021 (wave 3), late August 2021 (wave 4), and mid-January 2022 (wave 5). Methods Here, we present SARS-CoV-2 lineages associated with the five waves through analysis of 1034 genomes, which included 237 non-variants of concern and 797 variants of concern (VOC) that had increased transmissibility, disease severity or vaccine resistance. Results In total 40 lineages were identified. The early European lineages (B.1 and B.1.1) were the first to be seeded. The B.1 lineage continued to expand and remained dominant, accounting for 60% (72/120) and 57% (45/79) in waves 1 and 2 respectively. Waves three, four and five respectively were dominated by VOCs that were distributed as follows: Alpha 58.5% (166/285), Delta 92.4% (327/354), Omicron 95.4% (188/197) and Beta at 4.2% (12/284) during wave 3 and 0.3% (1/354) during wave 4. Phylogenetic analysis suggests multiple introductions of variants from outside Kenya, more so during the first, third, fourth and fifth waves, as well as subsequent lineage diversification. Conclusions The data highlights the importance of genome surveillance in determining circulating variants to aid interpretation of phenotypes such as transmissibility, virulence and/or resistance to therapeutics/vaccines.