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http://hdl.handle.net/123456789/9103
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DC Field | Value | Language |
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dc.contributor.author | Mazandu, Gaston K. | - |
dc.contributor.author | Nembaware, Victoria | - |
dc.contributor.author | Thomford, Nicholas E. | - |
dc.contributor.author | Bope, Christian | - |
dc.contributor.author | Ly, Ousmane | - |
dc.contributor.author | Chimusa, Emile R. | - |
dc.contributor.author | Wonkam, Ambroise | - |
dc.date.accessioned | 2023-10-05T17:49:56Z | - |
dc.date.available | 2023-10-05T17:49:56Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/9103 | - |
dc.description.abstract | he ongoing Ebola virus disease (EVD) outbreak in the eastern Democratic Republic of Congo is raising unprecedented health concerns, with potential to wipe out large propor- tions of the population in this part of the world. Established control strategies to con- tain the outbreak are failing due to several reasons, including lack of a data/information repository and ongoing violence and armed conflict. In this paper, we propose a poten- tial roadmap from a computational perspective, which may provide solutions to contain the current outbreak, predict future outbreaks and facilitate development of novel solu- tions and therapeutics. This roadmap includes the implementation of an integrated infor- mation system through a centralized data coordinating center unifying existing and future EVD data and information to enhance innovative EVD translational research. This work will leverage off tools, guidelines and protocols developed by established data coordinating centers based in Africa or centers that address infectious disease outbreaks. The proposed EVD computational strategy is expected to inform optimal strategies at the national or global level towards strengthened responses to future EVD outbreaks and potential emer-gency of therapy resistant. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Scientific African | en_US |
dc.subject | Ebola virus disease | en_US |
dc.subject | rVSV-ZEBOV | en_US |
dc.subject | Monoclonal antibody | en_US |
dc.subject | Translational research | en_US |
dc.subject | FAIR data | en_US |
dc.title | A potential roadmap to overcome the current eastern DRC Ebola virus disease outbreak: From a computational perspective | en_US |
dc.type | Article | en_US |
Appears in Collections: | School of Allied Health Sciences |
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File | Description | Size | Format | |
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A potential roadmap to overcome the current eastern DRC Ebola virus disease outbreak From a computational perspectiv.pdf | Main Article | 334.42 kB | Adobe PDF | View/Open |
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