Roca, A, Janha, R, Bah, A, Jah, H, Tourey, F, Idris, Y, Keita, S, Gaye, Y, Jallow, S, Faye-joof, T, Njie, B, Craik, R, Mohammed, N, von Dadelszen, P and D’alessandro, U. 2024. SARS-CoV-2 Seroprevalence in The Gambia dataset. [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.00003754.
Roca, A, Janha, R, Bah, A, Jah, H, Tourey, F, Idris, Y, Keita, S, Gaye, Y, Jallow, S, Faye-joof, T, Njie, B, Craik, R, Mohammed, N, von Dadelszen, P and D’alessandro, U. SARS-CoV-2 Seroprevalence in The Gambia dataset [Internet]. London School of Hygiene & Tropical Medicine; 2024. Available from: https://doi.org/10.17037/DATA.00003754.
Roca, A, Janha, R, Bah, A, Jah, H, Tourey, F, Idris, Y, Keita, S, Gaye, Y, Jallow, S, Faye-joof, T, Njie, B, Craik, R, Mohammed, N, von Dadelszen, P and D’alessandro, U (2024). SARS-CoV-2 Seroprevalence in The Gambia dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003754.
Description
A quantitative dataset containing information on COVID seroprevalence in pregnant women, based upon an analysis of samples collected from 803 women between October 2019 – March 2022 in Farafenni, North Bank Region of The Gambia. This is a sub-set of women in the PRECISE Study where pregnant women were recruited to the cohort and followed up during their pregnancy.
Additional information
To access the data, requests must be made to the Gambian team. 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, ethics approval will need to be obtained in both The Gambia and in your host institution as well as Data User Responsibilities Agreements being signed.
Keywords
Description of data capture | 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. | ||||
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Data capture method | Questionnaire, Measurements and tests | ||||
Data Collection Period |
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Date (Date submitted to LSHTM repository) | 26 January 2024 | ||||
Language(s) of written materials | English |
Data Creators | Roca, A, Janha, R, Bah, A, Jah, H, Tourey, F, Idris, Y, Keita, S, Gaye, Y, Jallow, S, Faye-joof, T, Njie, B, Craik, R, Mohammed, N, von Dadelszen, P and D’alessandro, U |
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LSHTM Faculty/Department | MRC Unit The Gambia at LSHTM |
Participating Institutions | MRC Unit The Gambia, Serrekunda, Gambia, King’s College London, London, United Kingdom |
Funders |
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Date Deposited | 29 Jan 2024 16:19 |
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Last Modified | 30 Jan 2024 11:32 |
Publisher | London School of Hygiene & Tropical Medicine |
Downloads
Data / Code
Restricted to: Request access for all
Filename: PeriCOVID_Gambia_dataset.txt
Description: Dataset containing demographic and COVID variables
Licence: Data Sharing Agreement
Content type: Dataset
File size: 59B
Mime-Type: text/plain
Documentation
Filename: PeriCOVID_Gambia_dataset_codebook.html
Description: Codebook for PeriCOVID Gambia dataset
Content type: Textual content
File size: 8kB
Mime-Type: text/html
Filename: 3754_UserGuide.html
Description: User guide for PeriCOVID Gambia dataset
Content type: Textual content
File size: 9kB
Mime-Type: text/html