Persistent Identifier
|
doi:10.7910/DVN/XMTCTW |
Publication Date
|
2024-12-13 |
Title
| Replication Data for: Induction of an early IFN-γ cellular response and high plasma levels of SDF-1α are inversely associated with COVID-19 severity and residence in rural areas in Kenyan patients |
Author
| Wanjiku, PerpetualKEMRI-Wellcome Trust Research Programme, Kilifi, KenyaORCID0000-0001-9293-0181
Orindi, BenedictKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
Kimotho, JohnKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
Sayed, ShahinAga Khan University Hospital
Shah, ReenaAga Khan University Hospital
Saleh MansoorAga Khan University Hospital
Mwacharo, JedidahKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
Maronga, ChristopherNuffield Department of Population Health, Cancer Epidemiology Unit
Oluoch, VivianAga Khan University Hospital
Karanu, AnnAga Khan University Hospital
Shah, JasmitBrain and Mind Institute and Department of Medicine, Aga Khan University
Nneka, ZaitunAga Khan University Hospital
Ochola-Oyier, Lynette IsabellaKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
Abdi, Abdirahman I.KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
Dunachie, SusannaNuffield Department of Medicine, Centre for Global Health Research, University of Oxford
Bejon, PhilipKEMRI-Wellcome Trust Research Programme, Kilifi, KenyaORCID0000-0002-2135-7549
Nduati, EuniceKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
Ndungu, Francis M.KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya |
Point of Contact
|
Use email button above to contact.
Wanjiku, Perpetual (KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya)
Ndungu, Francis M. (KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya)
The Data Governance Committee (KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya) |
Description
| This is a replication dataset for the manuscript titled: "Induction of an early IFN-γ cellular response and high plasma levels of SDF-1α are inversely associated with COVID-19 severity and residence in rural areas in Kenyan patients" submitted to the PLOS One journal.
The first dataset describes the baseline characteristics of the Kenyan COVID-19 patients, who were included in this analysis, they were recruited from June 2020 to February 2022. Plasma samples were then collected longitudinally over four successive time points within one month of COVID-19 diagnosis. Dataset contains clinical data on underlying conditions and hospital admission of the patients collected during patient care/treatment. Datasets is shared as .CSV Excel files.
The second dataset contains concentrations of cytokines and chemokines assayed on plasma samples using Luminex assay. Datasets is shared as .CSV Excel files.
The third dataset comprises a subset of 59 patients derived from the second dataset who had at least PBMC samples from 3 timepoints. It contains IFNy secreting cell responses assayed by Elispot for 172 samples. Datasets is shared as .CSV Excel files. |
Subject
| Medicine, Health and Life Sciences |
Keyword
| COVID-19
SARS-CoV-2
IFN-γ-secreting cells
cytokines
chemokines
kinetics
Sub-Saharan Africa |
Depositor
| Wanjiku, Perpetual |
Deposit Date
| 2024-12-11 |
Data Type
| Restricted Access |