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Health data visualization


4 Weeks

About the Course

Through an integrated curriculum that combines data analyses (statistical, management, visualization) with applied public health questions, participants will gain skills to answer applied public health policy and research questions. This course does not require any previous experience in using R or similar statistical software, but does require the participant is actively working on epidemiological research and/or public health by analyzing and visualizing data. The course will be a combination of hands-on activities and lectures. Sessions will include both guided lessons and open office hours to provide time and assistance for individual research or public health projects. Students and practitioners who are already actively involved in research related to these topics are encouraged to participate. See below for eligibility. The course will be taught in French and English but instructors will be available to further explain in Malagasy and/or French when needed.

- ​Day 1 (introduction to R)
Introduction and introduction to the course
Introduction to R and R studio
Working with Dplyr to produce summary statistics (include group by, filter etc....

- Day 2 (ggplot and figures)
intro course on scientific figures, when to use which kind of figure etc...
brief course spatial intro to build maps
tutorial build a few figures using provided dataset (a choropleth map, a time series, and one or 2 other random figures)

- Day 3 (communicate results through reports and dashboard)
intro to Rmarkdown (using the figures built on day 2)
how to use R markdown to build a report that is easy to reproduce and update
and use Rmarkdown to build a dashboard.


- Tanjona Ramiadantsoa 
- Antso Raherinandrasana
- Fidisoa Rasambainarivo 
- Amy Wesolowski
    - Tanjona Ramiadantsoa
    - Antso Raherinandrasana
    - Fidisoa Rasambainarivo
    - Amy Wesolowski
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