Background
Compared to the abundance of clinical, molecular, and genomic information available on patients hospitalised with COVID-19 disease from high-income countries, there is a paucity of data from low-income countries.
Methods
We enrolled a cohort of patients with PCR confirmed COVID-19 disease at Queen Elizabeth Central Hospital, the main hospital for southern Malawi, between July 2020 and September 2021. The recruitment period covered three waves of SARS-CoV-2 infections in Malawi. Clinical and diagnostic data were collected using the ISARIC clinical characterization protocol for COVID-19. The viral material from PCR-positive swabs was amplified with a tiling PCR scheme and sequenced using the MinION sequencer in Malawi. Consensus genomes were generated using the ARTIC pipeline and lineage assignment was performed using Pangolin.
Results
Sequencing data showed that wave one was predominantly B.1 (8/11 samples), wave two consisted entirely of Beta variant of concern (VOC) (6/6), and wave three was predominantly Delta VOC (25/26). Patients presenting in the second and third waves had progressively fewer underlying chronic conditions, and patients in the third wave had a shorter time to presentation (2 days vs 5 in the original wave). Multivariable logistic regression demonstrated increased mortality in wave three, dominated by the Delta VOC, compared to previous waves (OR 6.6 [CI 1.1-38.8]).
Conclusions
Patients hospitalised with COVID-19 in Blantyre during the Delta wave had more acute symptom onset; fewer underlying conditions; and were more likely to die. Whilst we demonstrate the value of linking virus sequence data with clinical outcome data in a low-income setting, this study also highlights the considerable barriers to establishing sequencing capacity in a setting heavily affected by disruptions in supply chain and inequity of resource distribution.