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STEAM-3D: the E-learning system for workshop 1, 12/10/2026-16/10/2026, Cape Town, South Africa.

You can register to the STEAM-3D workshop's online webinar using the link here.

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The STEAM-3D introductory workshop provides participants with foundational knowledge and practical skills in infectious disease modelling and analysis, programming, knowledge translation, and evidence-informed policymaking. Designed for individuals from diverse disciplinary backgrounds, the workshop aims to strengthen capacity to generate, analyse, interpret, and communicate evidence that supports public health decision-making across Africa.  The workshop is expected to be of benefit to public health researchers who have completed at least one introductory course in statistics.  For this introductory workshop, participation is limited to applicants residing in, or affiliated with, institutions in South Africa, Malawi, Mozambique, and Cameroon

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If you want to be updated, follow us on social media.  

The website was designed and uses materials that were developed as a part of the >eR-BioStat project.

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Our Services

Our Courses

Preparatory courses

Introduction to R

The course covers basic concepts in

  • R programming,

  • R Studio / R markdown.

  • Data management using tidyverse().

  • ggplot2().

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Visualizing Data and Exploratory Data Analysis
Using R

The course covers basic concepts visualization and EDA using 

  • ggplot().

  • Static, interactive & animated visualization,

  • Dashboard tools in R.

Introduction to statistical modeling using R

The course covers 

  • Simple linear regression.

  • One-way ANOVA.

  • Simple logistic regression

Basic concepts of statistical inference using R

The course covers topics in statistical inference for

  • Continuous variable in one population.

  • Continuous variable in two populations.

  • Binary variable in tone & two populations.​

Introduction to Statistics

The course covers topics in statistical inference for

  • Continuous variable in one population.

  • Continuous variable in two populations.

  • Binary variable in tone & two populations.​

Introduction to R programming 

The course covers the following topics in R:

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  • Introductionn to R.

  • Data analysis using R.

  • Data wangeling.

  • Data organization,

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Advanced courses

Modeling infectious diseases (part 1): An introduction

The course covers topics in infectious diseases modeling at an introduction level including:  

  • Transmission models and transmission parameters..

  • SIR, SEIR, SIS, models.

  • Estimation of transmission parameters.

  • Outbreak data.

  • The R function desolve().

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Knowledge translation (evidence synthesis)

The course covers the following topics:

  • Refining Research Questions and Modelling Applications

  • Literature Searching and Search Strategy Development

  • Management and Quality Appraisal

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Evidence to Policy Decision-Making
 

The course covers  the folloing topics:

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  • Introduction to principles of evidence-informed healthcare decision making.

  • Introduction to principles of knowledge translation.​

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R functions that you need to know to follow our courses

  • t.test( ).
  • lm( ).
  • glm( ).
  • aov( ).
  • desolve()
  • ggplot2( ).
  • ...

Ready to find out more?

Downlead a course and check how does it work. If you wish to include your institute in our network or you want to hear more about our activities, contact us by email.

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If you include our courses in the curriculum in your institute, please let us know about it. 

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If you want to get updates about course materials, new courses and activities, follow us on social media.

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