dominikb1888/DGPH

Introduction to Digital Health with a focus on web technologies, programming, and data visualization.

DGPH

Introduction to Digital Health for Global Public Health Master students with a practical focus on web technologies, programming, and data visualization.

---

A. Computers, Networking, and the Web

Required Reading: https://ebookcentral.proquest.com/lib/th-deggendorf/detail.action?docID=7275452

1. Digging Deeper - Understanding your machine

• Interactive: The Status Quo and Future Outlook of Digital Health around the world

• Hands-on: Chapter 1 and 2

• Preparing a Simple Website with HTML and CSS

• Uploading your Site to Github

• More on the Git Protocol: https://twitter.com/alexxubyte/status/1708145139515109449

2. Networking - The web and its infrastructure

• Interactive: Servers, Clients, IPs and Protocols of the Internet
  • Tech Concepts Visualized: https://twitter.com/alexxubyte
  • URL/URI/URN: https://twitter.com/alexxubyte/status/1695825224019943714/photo/1
  • Request/Response on the Web: https://twitter.com/alexxubyte/status/1711406474654814575
  • HTTP Status Codes: https://twitter.com/alexxubyte/status/1712487706859905137/photo/1
  • HTTPS: https://twitter.com/bytebytego/status/1715973551235510532/photo/1
  • TCP/IP: https://twitter.com/bagder/status/1716693365234798909/photo/1
  • Advanced Network Protocols: https://twitter.com/alexxubyte/status/1708863540067696878
• Hands-on:
  • Extending the Webpage Chapter 3-6 - Additonal Elements, Lists, Links, Tables, Images
  • Serving your page with Python

3. Presentation - Cascading Stylesheets (CSS)

Hands-on: Cascading Stylesheets - Chapters 7-10

4. Responsive and Interactive Websites

• Hands-on: Chapter 10-11
• Tutorial: https://developer.mozilla.org/en-US/docs/Web/CSS/CSS_grid_layout/Realizing_common_layouts_using_grids

---

B. Data Analytics and Cleaning with R

Excercise:

• https://www.appliedepi.org/tutorial/

Reading:

• https://epirhandbook.com/en/r-basics.html
• Tidyverse

1. Intro to RStudio & R Data Types (Module 1)

Prepare:

• R Basics: https://tutorials.appliedepi.org/app/basics

Lecture:

• Data Types and Functions in R (https://sydney-informatics-hub.github.io/lessonbmc/02-BMC_R_Day1_B/index.html)
• Vectors and Lists https://jennybc.github.io/purrr-tutorial/bk00_vectors-and-lists.html

2. Project Setup & Tidy Data (Module 2)

Prepare:

• https://tutorials.appliedepi.org/app/preparation

Lecture:

• https://epirhandbook.com/en/import-and-export.html

3. Cleaning Data with R (Module 3+4)

Prepare:

• https://tutorials.appliedepi.org/app/cleaning

Lecture:

• https://epirhandbook.com/en/cleaning-data-and-core-functions.html
• https://epirhandbook.com/en/working-with-dates.html
• https://epirhandbook.com/en/characters-and-strings.html
• https://epirhandbook.com/en/factors.html

4. Group Data (Module 5)

Lecture:

• https://epirhandbook.com/en/grouping-data.html

5. Joining and Pivoting Data (Module 7 - optional)

Lecture:

• https://epirhandbook.com/en/pivoting-data.html
• https://epirhandbook.com/en/joining-data.html
• https://epirhandbook.com/en/de-duplication.html

---

C. Interactive Visualization with Shiny and ggplot

1. Visualizing Data with ggplot (Module 6)

Prepare:

• https://tutorials.appliedepi.org/app/ggplot

Lecture:

• https://epirhandbook.com/en/tables-for-presentation.html
• https://epirhandbook.com/en/ggplot-basics.html
• https://epirhandbook.com/en/ggplot-tips.html
• https://epirhandbook.com/en/reports-with-r-markdown.html
• https://epirhandbook.com/en/dashboards-with-r-markdown.html

2. Creating Interactive Visualizations with Shiny

Lecture:

• https://epirhandbook.com/en/dashboards-with-shiny.html

3. Theming Shiny Applications with HTML and CSS

• Let's give the last touch ups to our projects!

---

Further Resources

• https://r4epis.netlify.app/