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

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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 suing 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 R programming 

The course covers topics in statistical inference for

  • Continuous variable in one population.

  • Continuous variable in two populations.

  • Binary variable in tone & two populations.​

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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Evidence Synthesis for Model Parameterization

The course covers topics in binary data analysis:

  • Relative risks & Odds ratio.

  • Analysis of 2 X 2 tables & chi-square tests.

  • Inference and estimation.

  • Logistic regression.

  • The R function glm().

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Course materials

Primer on Evidence to Policy Decision-Making

The course covers topics in survival analyssi:

  • Non-parametric estimation of a survival distribution.

  • Inference with censored data.

  • Proportional hazards Models.

  • Parametric models for survival data.

  • Designing a survival study

Course materials

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.

Contact
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