10.17037/DATA.00003755
A quantitative data containing information on COVID seroprevalence in pregnant women, based upon an analysis of 2,495 samples collected from 1,811 women between March 2020 – March 2022 in Kilifi County, Kenya. This is a sub-set of women in the PRECISE Study where pregnant women were recruited to the study and followed up during their pregnancy.
This is an ancillary study of the PRECISE study (Pregnancy Care Integrating Translational Science, Everywhere), in which a pregnancy cohort was recruited in The Gambia, Kenya, and Mozambique, with the collection of extensive sociological and clinical data and biological samples throughout woman's pregnancy, until 6 weeks post-delivery. Samples and data from the PRECISE study were used for this work.
To access the data, requests must be made to the P.I. in Kenya. The request will be reviewed by both the Gambian Team and the PRECISE Consortium Data and Sample Access Committee, which consists of the leads of all the collaborating units as well as a panel of experts. The committee will review the request based on scientific value and to ensure there is no overlap with existing work. If the study is approved, before data is shared, Data User Responsibilities Agreements must be signed.
Data collected in Kilifi County, Kenya.
Data capture was ongoing from July 2019 – December 2022 as part of PRECISE study, a subset of these samples were used for the seroprevalence analysis, these included samples collected between March 2020 – March 2022. The laboratory analysis took place from 23rd May 2022 – 22nd September.
The three SARS-CoV-2 ELISA assays were determined to be 100% sensitive and 100% specific using 20 known negative samples collected prior to the COVID-19 pandemic and 22 positive samples (confirmed PCR positive clinical cases with spike and nucleocapsid antibodies). In addition, we conducted a SARS-CoV-2 serologic assessment using randomly selected serum aliquots from the PRECISE cohort from the pre-pandemic period (July to December 2019, maximum 20 samples per month, total 113) using the Wantai anti-SARS-CoV-2 ELISA to assess its specificity. These samples were processed and stored with the same procedures. All 113 samples were negative for SARS-CoV-2 total antibody.
Pregnant women living in Kilifi Country.
Participant identifiers have been removed from the dataset.
Organisation | Ethics ID | Other information |
Aga Khan University Ethics Review Committee | 2018/REC-74 | |
King’s College London | HR-17/18-7855 |
SARS-CoV-2, COVID-19, Seroprevalence, Pregnancy, Kenya
English
The PRECISE Network is a consortium led by King’s College London in collaboration with three Clinical Network Hubs (LSHTM at MRC The Gambia, the Aga Khan University, Kenya, and Centro de Investigação em Saúde de Manhiça, Mozambique) and five partnering institutes (Midland State University, Zimbabwe; London School of Hygiene and Tropical Medicine, UK; St Georges University London, UK; University of Oxford, UK; University of British Columbia, Canada). The consortium is governed by the Project Executive Group which is the projects decision making forum. PRECISE Project Executive Group (PEG) consists of the PRECISE Principal Investigator, and the three Clinical Hub Principal Investigators, the Working Group Chairs and the PRECISE management team.
The PRECISE Data and Sample Committee are responsible for the use of data and samples within the network. The PRECISE Data and Access Committee consists of the PRECISE Principal Investigator, and the three Clinical Hub Principal Investigators. In addition, there are 14 additional experts on the panel whose input is requested depending on the data requests that we receive. These include statisticians, epidemiologists, and experts in health geography, child development, maternal health, preterm birth and molecular biology/pathology.
Project name | Funder/sponsor | Grant number |
PRECISE Network | Medical Research Council UK Research and Innovation | MR/P027938/1 |
PeriCOVID | European and Developing Countries Clinical Trials Partnership (EDCTP) | RIA2020EF-2926 |
UZIMA | National Institutes of Health, the National Institute of Biomedical Imaging and Bioengineering, the National Institute of Mental Health, and the Fogarty International Center of the National Institutes of Health | U54TW012089 |
Forename | Surname | Faculty / Dept | Institution | Role |
Angela | Koech | Centre of Excellence for Women and Child Health | Aga Khan University | Project Leader |
Geoffrey | Omuse | Department of Pathology | Aga Khan University | Project Leader |
Alex | Mugo | Aga Khan University | Data Creator | |
Isaac | Mwaniki | Aga Khan University | Data Creator | |
Joseph | Mutunga | Aga Khan University | Data Creator | |
Moses | Mukhanya | Aga Khan University | Data Manager | |
Onesmus | Wanje | Aga Khan University | Project Member | |
Grace | Mwashigadi | Aga Khan University | Project Member | |
Geoffrey | Katana | Aga Khan University | Project Member | |
Rachel | Craik | King’s College London | Project Member | |
Peter | Von Dadelszen | King’s College London | Project Member | |
Kirsty | Le Doare | St Georges University of London | Project Leader | |
Marleen | Temmermen | Aga Khan University | Project Leader | |
PRECISE Network |
Filename | Description | Access status | Licence |
Kenya_PERICOVID_ClinicalandLab | Dataset containing Clinical and analyses for 1811 women collected in Kilifi County, Kenya | Request access for all | Data sharing agreement |
Kenya_PERICOVID_ClinicalandLab_codebook | Codebook for the Kenya PERICOVID Clinical and Lab dataset | Open | Creative Commons Attribution (CCBY) |
UserGuide | User guide for the PERICOVID Clinical and Lab dataset | Open | Creative Commons Attribution (CCBY) |