ArticleAnnals of epidemiology2020
Ensuring ethical data access: the Sierra Leone Ebola Database (SLED) model.
Article in Annals of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Equitable data sharing in epidemics and pandemics.BMC medical ethics · 2021Pooled it
- What constitutes equitable data sharing in global health research? A scoping review of the literature on low-income and middle-income country stakeholders' perspectives.BMJ global health · 2023Article
- R&D during public health emergencies: the value(s) of trust, governance and collaboration.BMJ global health · 2022Review
- Frequency and spelling of names in the Sierra Leone Ebola Database.The Pan African medical journal · 2022Article
- Finding the graves: SLED Family Reunification Program.Annals of epidemiology · 2021Article
- Data sharing considerations and practice among health researchers in Africa: A scoping review.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
purposeOrganizations responding to the 2014-2016 Ebola epidemic in Sierra Leone collected information from multiple sources and kept it in separate databases, including distinct data systems for Ebola hot line calls, patient information collected by field surveillance officers, laboratory testing results, clinical information from Ebola treatment and isolation facilities, and burial team records.
methodsAfter the conclusion of the epidemic, the Sierra Leone Ministry of Health and Sanitation and the U.S. Centers for Disease Control and Prevention partnered to collect these disparate records and consolidate them in the Sierra Leone Ebola Database.
resultsThe Sierra Leone Ebola Database data are providing a lasting resource for postepidemic data analysis and epidemiologic research, including identifying best strategies in outbreak response, and are used to help families locate the graves of family members who died during the epidemic.
conclusionThis report describes the Ministry of Health and Sanitation and Centers for Disease Control and Prevention processes to safeguard Ebola records while making the data available for public health research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.