Research is currently underway to build a comprehensive and sustainable database for Sickle Cell affected individuals living in Sub Saharan Africa. To maximise the utility of this database - specifically for the needs of the local communities involved - it is imperative that researchers from many African institutions are able to effectively plan and execute research projects aimed at reducing the burden of this disease, for both nearby residents, and the world sickle cell community as a whole. This course will give participants the tools needed to design and implement such studies. Students will learn how to: apply for necessary clearances; collect and analyse their own high quality data with high performance computational methods; integrate their data with other studies; interpret the results in the wider context of epidemiology and shifts in government policy.
Workshops/Face to Face Meetings
SickleInAfrica Project/PI/Working Group
SADaCC
Event Theme/Subject Category
Epidemiology
Targeted Learning Outcomes
On completing the course, students will be able to: list ways that Big Data sets arise in clinical epidemiology research; describe what is meant by the term “Big Data” in clinical epidemiology; apply basic statistical methods to epidemiological Big Data sets; evaluate the quality of an epidemiological Big Data set, in general and with respect to a specific research question; design a multi-site retrospective epidemiology study.
Trainers/Speakers
Raphael Sangeda, Nchangwi Syntia Munung, Nicola Mulder, Gaston Mazandu, Mario Jonas, Arthemon Nguweneza, Vicky Nembaware, Jack Morrice
Coordinator's name
Vicky Nembaware
Coordinator's email address
vnembaware@gmail.com
Name of Venue, Institute
Wolfson Lab, University of Cape Town
City of Venue
Cape Town
Country of venue
South Africa
Organisers/Organizing Body
SADaCC
Sponsors/Funders
National Institutes of Health
Opening/Closing dates
- Mon, Jun 10 2019 - Fri, Jun 14 2019
Eligibility & Application Instructions
must have satisfactorily engaged with preceding online component.
Extra information
Students are asked to bring their own research data; during the workshop they will formulate a research project with ethical clearance application, perform summary statistics, and draft a research question and abstract.