STREaM trainees will be assigned a primary STREaM mentor who will work with the trainee to map out an individual curriculum, drawn from the available coursework, and tailored to the individual trainee’s educational goals. STREaM is not a “one size fits all” curriculum. The coursework available through STREaM US-based partner institutions can be placed along a spectrum of complexity, from fundamental conceptual courses through advanced machine learning application (Figure 1).
STREaM Program’s goals are to create a multidisciplinary cohort of injury control and trauma research experts who can use their different backgrounds and skill sets to work together to reduce the burden of trauma in Cameroon. Accordingly, each trainee may enter the quantitative pipeline at a level suitable to their background, then continue along this pipeline until their scholastic goals are met. This model allows one set of course offerings to be flexible enough to adapt to each trainee’s individual academic background and ability at baseline, then grow with them until they achieve their target skill level. The intended outcome of this approach is to create an academically diverse cohort with a minimum fundamental fluency in quantitative methodology to allow their academic backgrounds to interact as a complementary, transdisciplinary team.
STREaM Cameroon will draw on the rich resources of its partner institutions to provide trainees coursework from Buea, UCLA, UC Berkeley, and UCSF. In addition to the required MPH and PhD courses at Buea, STREaM trainees will have access to the courses listed in the table below.
Trauma Quality Improvement
Epidemiologic Methods II
MPHs, PhDs as needed
Intervention Trial Design
Introduction to Probability and Statistics in Biology and Public Health
R for Public Health
MPHs, PhDs, Post Docs as needed
Statistical Analysis of Categorical Data
Statistical Analysis of Continuous Outcome Data
Introduction to Multivariate Statistics
Big Data: A Public Health Perspective
PhDs, Post Docs
Introduction to Causal Inference
Applied short course in advanced applied statistics: causal inference and machine learning
Responsible Conduct of Research Involving Humans
Communication of Science (Grant Writing)
Methodologies in Clinical Research Longitudinal and Community Studies
Introduction to Implementation Science Theory and Design
Designing Individual-Level Implementation Strategies
Designing Interventions to Change Organizational Behavior
Community Engaged Research
Program Evaluation in Clinical and Public Health Settings
Study Designs for Intervention in Real World Settings
UC Berkeley courses spanning increasingly sophisticated analytic and statistical methodology, ranging from basic probability and statistics, study design, and multivariable regression through more complex topics for PhD and postdoc-level trainees such as causal inference and machine learning. Most of the selected courses are already designed for remote learning with the input of experienced instructional designers and employ best practices for asynchronous learning.
The UCLA-CTSI Training Program in Translational Science offers an array of graduate-level courses, including those in research conduct, ethics, and grant writing. All STREaM trainees will take the following required coursework:
UCSF-CTSI’s individual implementation science courses may be taken by postdocs, PhD, or MPH students, as interested. Students may also opt to take the UCSF CTSI certificate program by completing all six courses.
STREaM Cameroon is supported by the Fogarty International Center of the National Institutes of Health under Award Number D43TW012186.
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