UE5TW012566
Cooperative Agreement
Overview
Grant Description
Application of Data Science to Build Research Capacity in Zoonoses and Food-Borne Infections in West Africa - Abstract
The importance of health data science in Africa cannot be overemphasized, as the burden of infectious and non-infectious diseases is striking across the continent. Despite this, health data science in Africa is grossly underdeveloped, which is mainly due to lack of well-trained data scientists.
In the last few years, there have been efforts to address the data science training needs in Africa. However, these remain limited in scope and some of the crucial infectious diseases such as zoonoses and food-borne infections, which take a significant toll on the continent, have not been sufficiently addressed.
The aim of the proposed training programme is to enhance research into zoonoses and food-borne infections in West Africa through the application of data science. We are proposing three training tracks as follows:
(I) To provide a one-year research training to MSC students in West Africa. In this training track, we will support training of excellent candidates who have completed the first-year coursework of a relevant MSC programme. The candidates will undertake a research project on a topic that applies bioinformatics, phylo-dynamics, and/or disease modelling to zoonoses or food-borne infections for their dissertation.
(II) To provide a one-year research training to faculty members from West Africa. In this training track, we will support early career scientists/faculty from universities and research institutions who are interested in developing a research career in zoonoses or food-borne infections. They will apply bioinformatics, phylo-dynamics, and disease modelling tools in research on zoonoses and food-borne infections.
(III) To organize workshops to provide hands-on training in bioinformatics, phylo-dynamics, and disease modelling to wider communities in West Africa. The long-term goal is to establish a core of West African scientists who can carry out rigorous health research projects using data science.
The importance of health data science in Africa cannot be overemphasized, as the burden of infectious and non-infectious diseases is striking across the continent. Despite this, health data science in Africa is grossly underdeveloped, which is mainly due to lack of well-trained data scientists.
In the last few years, there have been efforts to address the data science training needs in Africa. However, these remain limited in scope and some of the crucial infectious diseases such as zoonoses and food-borne infections, which take a significant toll on the continent, have not been sufficiently addressed.
The aim of the proposed training programme is to enhance research into zoonoses and food-borne infections in West Africa through the application of data science. We are proposing three training tracks as follows:
(I) To provide a one-year research training to MSC students in West Africa. In this training track, we will support training of excellent candidates who have completed the first-year coursework of a relevant MSC programme. The candidates will undertake a research project on a topic that applies bioinformatics, phylo-dynamics, and/or disease modelling to zoonoses or food-borne infections for their dissertation.
(II) To provide a one-year research training to faculty members from West Africa. In this training track, we will support early career scientists/faculty from universities and research institutions who are interested in developing a research career in zoonoses or food-borne infections. They will apply bioinformatics, phylo-dynamics, and disease modelling tools in research on zoonoses and food-borne infections.
(III) To organize workshops to provide hands-on training in bioinformatics, phylo-dynamics, and disease modelling to wider communities in West Africa. The long-term goal is to establish a core of West African scientists who can carry out rigorous health research projects using data science.
Funding Goals
NOT APPLICABLE
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Ghana
Geographic Scope
Foreign
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 39547100% from $1 to $395,472.
College Of Health Sciences, University Of Ghana was awarded
Data Science for Zoonoses & Food-Borne Infections in West Africa
Cooperative Agreement UE5TW012566
worth $395,472
from Fogarty International Center in September 2023 with work to be completed primarily in Ghana.
The grant
has a duration of 2 years 8 months and
was awarded through assistance program 93.989 International Research and Research Training.
The Cooperative Agreement was awarded through grant opportunity Harnessing Data Science for Health Discovery and Innovation in Africa (DS-I Africa): Research Education Program (UE5 Clinical Trial Not Allowed).
Status
(Ongoing)
Last Modified 6/20/24
Period of Performance
9/1/23
Start Date
5/31/26
End Date
Funding Split
$395.5K
Federal Obligation
$0.0
Non-Federal Obligation
$395.5K
Total Obligated
Activity Timeline
Transaction History
Modifications to UE5TW012566
Additional Detail
Award ID FAIN
UE5TW012566
SAI Number
UE5TW012566-4162846883
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
75NF00 NIH FOGARTY INTERNATIONAL CENTER
Funding Office
75NF00 NIH FOGARTY INTERNATIONAL CENTER
Awardee UEI
JMP4KX9ZY7Q4
Awardee CAGE
SUA54
Performance District
Not Applicable
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| Office of the Director, National Institutes of Health, Health and Human Services (075-0846) | Health research and training | Grants, subsidies, and contributions (41.0) | $197,735 | 100% |
Modified: 6/20/24