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eHealth4everyone 2022 Health Data Analytics Graduate Fellowship for Nigerians (up to #1,000,000)
Applications are open for the Health Data Analytics Graduate Fellowship? 2022. The goal of this fellowship is to build capacity for Health Data Analytics and related areas at higher academic and research levels.
This fellowship will inform the next phase of technological innovations/inventions to improve health data analytics and healthcare delivery in Nigeria. The objectives of the HDA fellowship are to:
- Build local capacity for research in health data analytics.
- Support the development of health data platforms.
- Improve the utilization of health data and data platforms.
- Use findings to inform Health Information Systems (HIS) policy development.
- Facilitate the publication of research reports in recognized journals.
Table of Content
About eHealth4everyone
We are a new kind of mission-driven organization with services, expertise and products focused on making the business of healthcare delivery work
for everyone, through technology-enabled optimizations. We believe that if health is a right, proven digital health solutions and expertise such as
ours should not be a privilege. Working with participants across the spectrum of healthcare, from individuals, healthcare providers, government
departments and stakeholders, insurance organizations, pharmaceutical companies, and various private sector players, we enable high
performance across t... read more

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Health Data Analytics Graduate Fellowship
Aim and Benefits of Health Data Analytics Graduate Fellowship
The benefits of this fellowship include:
- Up to ?1,000,000 (per fellow) for postgraduate research (including research expenses e.g. equipment, data collection, etc.)
- Capacity building in research and health data analytics.
- Possible job opportunities with eHealth4everyone on completion of the fellowship.
- Access to a network of individuals with shared interests.
- Mentorship and support from the administering body. This would translate into the provision of reviews and guidance during the course of their research.
- Provision of datasets on request.
Requirements for Health Data Analytics Graduate Fellowship Qualification
- Applicant must hold an acceptable form of Identification (i.e. an International passport issued by the Nigerian Immigration Service; Drivers’ license; Voters’ Card, National Identity Number (NIN) card);
- Must be a postgraduate student of any accredited University with a valid means of identification;
- Candidates should hold a Bachelor’s degree of at least a 3.5/5.0 CGPA (Second class upper honors) for Master’s students, and at least a Merit or its equivalent in Master’s, for PhD students.
Fellows are expected to tailor their research towards improving Nigerian health data and data systems around the following key areas:
- Health Governance
- Health outcomes
- Health financing
- Health Workforce
- Population and demographics
- Health facility service availability and readiness
- Drugs and logistics
- Service delivery
- Health Impact
- Health surveillance
Checkout: How To Write A Scholarship Essay - Scholarship Essay Examples
Documents Required for Application
- Carefully complete each section of the HDA fellowship form(s) and attach the required documents. These include:
- Official transcripts from Academic Institution
- Curriculum Vitae (CVs)
- Admission letters
- Statement of purpose (maximum of 500 words)
- Research proposal/summary including timelines for execution
- Letter of recommendation from Supervisor, Head of Department or Dean;
- A previously published paper, if available. This would be an added advantage
- A 2-minute video of the applicant explaining their research proposal and motivation, is required.
Application Deadline
January 8, 2022
How to Apply
Interested and qualified? Go to
eHealth4everyone on ild3knpp.paperform.co to apply
Applications will be reviewed on a rolling basis and awards will be given on a quarterly basis. For the next batch, Form(s) should be submitted on or before 8 January, 2022 by 11:59pm (WAT)
For more details, click here
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