] among others. The “conexp” software package was used for preparing the lattices in this paper. The data of the 845 participants in the cohort were condensed into a single matrix mapping comorbidities to symptoms, in preparation for drawing the lattices. The input was a comma-separated values file containing one patient per row, with entries of 0 or 1 in columns, where the comorbidities and symptoms appear as individual columns.
Patients gave consent to study their blood samples, following clinical examination. Participants who filled in the South African Long COVID/PASC registry, gave consent on the platform for the team to use their de-identified data. Symptoms must have been new and persistent symptoms noted after acute COVID-19. Initial patient diagnosis of the 80 participants who visited our clinical collaborator’s practice , was the end result of exclusions, only after all other pathologies had been excluded.
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