Long-Term Immune Profiling of 101 COVID-19 Recovered Patients in Tanzania

Supplementary file 1 from a study by Thomas F. Marandu, published on figshare in April 2026. The dataset contains immune-cell phenotype and function data from 101 COVID-19 recovered patients, 7 uninfected controls, and 19 actively infected patients recruited in Tanzania between September 2021 and July 2023. It includes serology, T-cell and B-cell subset frequencies, NK cell profiles, HLA allele data, and vaccination status.

Use Cases

• Compare B-cell and T-cell subset frequencies based on disease severity categories mentioned in the description
• Analyze the relationship between vaccination status and serum anti-SARS-CoV-2 antibody levels based on the study results
• Investigate associations between specific HLA alleles and COVID 19 disease severity based on the genomic analysis
• Model long-term T-cell hyperresponsiveness based on CD8 cytokine response data to SEB stimulation

Strengths

• Includes data from 101 recovered patients and 26 control participants, providing a comparative basis
• Contains multiple immune profiling dimensions: serology, B-cell/T-cell/NK-cell subsets, and HLA alleles
• Covers a specific time range (September 2021 to July 2023) and geographic location (Mbeya, Tanzania)

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Data may reflect geographic bias inherent to the single hospital source in Tanzania

Provenance

Source

Thomas F. Marandu via figshare

Collection Method

Blood samples collected for serology, immune, and genomic analysis; demographic and vaccination data gathered via questionnaire

Time Range

September 2021 to July 2023

Freshness

Last updated 2026-04-10 05:29:15; freshness should be verified

Geography

Mbeya Zonal Referral Hospital, Tanzania