M
Mercy E. Edoho
Researcher at University of Uyo
Publications - 9
Citations - 10
Mercy E. Edoho is an academic researcher from University of Uyo. The author has contributed to research in topics: Human Metabolome Database & Public health. The author has an hindex of 1, co-authored 7 publications receiving 5 citations.
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Journal ArticleDOI
SARS-CoV-2 genome datasets analytics for informed infectious disease surveillance
Moses Ekpenyong,Ifiok J. Udo,Mercy E. Edoho,EnoAbasi Deborah Anwana,Francis Bukie Osang,Joseph Ikim Geoffery,Emmanuel Dan,Aliu Bolanle Momodu,Nnamso Michael Umoh,Kingsley Christopher Udonyah +9 more
TL;DR: In this paper, a collaborative Internet of Health Things (IoHT) framework was proposed to impact the public health system, for robust and intelligent support for modelling, characterizing, diagnosing and real-time contact tracing of infectious diseases.
Proceedings ArticleDOI
Tackling Occupational and Nosocomial Infection using Vitex-Medical Assistant Tool
Faith-Michael E. Uzoka,Mugisha Gift,Kingsley Attai,Boluwaji Akinnuwesi,Samali V. Mlay,Peter Zeh,Arnold Kiirya,Christine Muhumuza,Justine Bukenya,Stephen G. Fashoto,Daniel Asuquo,Christie Divine Akwaowo,Oryina Kingsley Akputu,Mercy E. Edoho,Ifiok J. Udo,Lucy Amaniyo,Andile Simphiwe Metfula,Gorretti Kyeyune +17 more
TL;DR: An e-Medical Assistant Tool (Vitex), which is a mobile device that disinfects wards of 100 square feet in a single cycle which can be increased since the device is mobile by using powerful U.V rays of 222nm that can be used in occupied rooms without adverse effects on human health.
Journal ArticleDOI
Collaborative Mining of Whole Genome Sequences for Intelligent HIV-1 Sub-Strain(s) Discovery.
Moses Ekpenyong,A. A. Adegoke,Mercy E. Edoho,Udoinyang G. Inyang,Ifiok J. Udo,Itemobong S. Ekaidem,Francis Bukie Osang,Nseobong P. Uto,Joseph Ikim Geoffery +8 more
TL;DR: This research proposed a collaborative framework of hybridized (Machine Learning and Natural Language Processing) techniques to discover hidden genome patterns and feature predictors, for HIV-1 genome sequences mining, which would assist in the development of decision support systems for easy contact tracing, infectious disease surveillance, and studying the progressive evolution of the reference HIV- 1 genome.
Posted ContentDOI
Real Time Viral Sub-Strains Discovery in Emerging Infectious Disease Situation – The African Perspective
Moses Ekpenyong,Faith-Michael E. Uzoka,Mercy E. Edoho,Udoinyang G. Inyang,Ifiok J. Udo,Nseobong P. Uto,Itemobong S. Ekaidem,Anietie Effiong Moses,EnoAbasi Deborah Anwana,Youchou M. Tatfeng,Geoffery Joseph,Emmanuel Dan,Juliana Ndunagu +12 more
TL;DR: The proposed framework offers explanations to SARS-CoV-2 diversity and provides real time identification to disease transmission routes, as well as rapid decision support for facilitating inter- and intra-country contact tracing of infected case(s).