Bower, H and Glynn, J. 2017. Data from: A systematic review and meta-analysis of seroprevalence surveys of ebolavirus infection. [Online]. Dryad Digital Repository. Available from: https://doi.org/10.5061/dryad.gn95r.2.
Bower, H and Glynn, J. Data from: A systematic review and meta-analysis of seroprevalence surveys of ebolavirus infection [Internet]. Dryad Digital Repository; 2017. Available from: https://doi.org/10.5061/dryad.gn95r.2.
Bower, H and Glynn, J (2017). Data from: A systematic review and meta-analysis of seroprevalence surveys of ebolavirus infection. [Data Collection]. Dryad Digital Repository. https://doi.org/10.5061/dryad.gn95r.2.
Description
The dataset contains findings and information from 51 seroprevelance studies performed from on samples collected from 1961 to 2016. These investigated 84 exposure-defined subgroups of subjects reported to have had no symptoms of EVD during the outbreak period, or to have come from populations with no known outbreaks. The data covers more than 44,000 people. The dataset records the sample locations, exposure type, numbers investigated, number/% considered positive and the cut-off used to define positivity. The data comes from a systematic review of published papers: DOI/PMCID?PMIDs are recorded. Information on antigens tested, any validation work and other notes are in the ReadMe file, as are explanations of the variables
Keywords
Data capture method | Aggregation | ||||
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Date (Date published in a 3rd party system) | 7 February 2017 | ||||
Language(s) of written materials | English |
Data Creators | Bower, H and Glynn, J |
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LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology |
Participating Institutions | London School of Hygiene & Tropical Medicine |
Funders |
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Date Deposited | 01 Mar 2017 13:08 |
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Last Modified | 09 Jul 2021 11:22 |
Publisher | Dryad Digital Repository |
Downloads
Data / Code
Filename: Scidata_EV_Asymp_Serology_Dataset_061216.csv
Description: Scidata EV Asymp Serology Dataset 061216 - CSV format
Content type: Dataset
File size: 22kB
Mime-Type: message/news\0118bit
Data Visualisation
Filename: Scidata_EV_Asymp_Full_Findings_Table_061216.pdf
Description: Table 1: detailed breakdown of the study populations, test methods and results.
Content type: Textual content
File size: 558kB
Mime-Type: application/pdf