ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2017
The contribution of biological, mathematical, clinical, engineering and social sciences to combatting the West African Ebola epidemic.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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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.
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Who cites it
9 citing papers in PubMed.
- Computational mining of B cell receptor repertoires reveals antigen-specific and convergent responses to Ebola vaccination.Frontiers in immunology · 2024Trial
- Computational mining of B cell receptor repertoires reveals antigen-specific and convergent responses to Ebola vaccination.Frontiers in immunology · 2024Trial
- Assessing potential insights of an imperfect testing strategy: Parameter estimation and practical identifiability using early COVID-19 data in India.Communications in nonlinear science & numerical simulation · 2023Article
- Formal and informal science advice in emergencies: COVID-19 in the UK.Interface focus · 2021Review
- Testing, tracing and isolation in compartmental models.PLoS computational biology · 2021Article
- Case Fatality Ratio Estimates for the 2013-2016 West African Ebola Epidemic: Application of Boosted Regression Trees for Imputation.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020Article
- Reproducible parallel inference and simulation of stochastic state space models using odin, dust, and mcstate.Wellcome open research · 2020Article
- Enabling precision medicine via standard communication of HTS provenance, analysis, and results.PLoS biology · 2018Article
- The 2013-2016 Ebola epidemic: multidisciplinary success conceals a missed opportunity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
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Abstract
The tragic West African Ebola epidemic claimed many lives, but would have been worse still if scientific insights from many disciplines had not been integrated to create a strong technical response. Epidemiology and modelling triggered the international response and guided where response efforts were directed; virology, engineering and clinical science helped reduce deaths and transmission in and from hospitals and treatment centres; social sciences were key to reducing deaths from funerals and in the community; diagnostic and operational research made the response more efficient; immunology and vaccine research contributed to the final stages of the epidemic and will help prevent future epidemics. These varied scientific contributions had to be integrated into a combined narrative, communicated to policymakers to inform decisions, and used by courageous local and international responders in the field in real time. Not every area of science was optimal, and in particular, clinical trials of simple interventions such as fluid management were slow to be adopted and sharing of data was initially poor. This Ebola epidemic demonstrated how science can respond to a major emergency, but also has lessons for better responses in future infectious emergencies.This article is part of the themed issue 'The 2013-2016 West African Ebola epidemic: data, decision-making and disease control'.
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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.