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2021-03-29 11:19:23
30-Day Money-Back Guarantee
IT & Software Other IT & Software Geospatial

Introduction to GIS for Public Health

An open source approach
New
Rating: 5.0 out of 55.0 (3 ratings)
9 students
Created by GeoHealth Experts
Last updated 3/2021
English
English
30-Day Money-Back Guarantee

What you'll learn

  • Comprehend the intersection between GIS and Public Health
  • Use Health data in a GIS
  • Produce maps depicting Health data
  • Apply multiple geospatial techniques
  • Analyse Health data spatially
  • Identify domains in which GIS and spatial analysis techniques can support decision-making in Public Health
  • Address Health and research questions using GIS
  • Visualise health data

Requirements

  • No prior knowledge of particular topics is required; this is an introductory course, therefore suitable for beginners.
  • As for the technical requirements, you'll need a computer with an internet connection and web browse and permission to install the software (QGIS).

Description

'Introduction to Geographic Information Systems for Public Health - an open-source approach' is a self-paced online course packed with contents that will fast-track your learning journey in the GIS and public health domain.

This introductory GIS and Health course will help you understand spatial techniques used in GIS and Health and some core theory, concepts and background so that you can use GIS successfully. We created this course in response to the increasing need for health professionals to incorporate location intelligence in their day-to-day decisions and the growing availability of open-source GIS tools and datasets.

This is how the course is going to help you:

  1. You'll be in a better position to meet your daily decision-making needs at work

  2. You'll be inspired to start research in this subject

  3. You'll diversify and enhance your skillset (either in GIS, Health or both)

  4. You'll be able to apply the learnings to your work/studies right after.

This course is composed of 17 video lectures and 15 tutorials. QGIS will be used in the tutorials, which is a free, open-source application available for Windows, MacOS and Linux.

There are no assessments in this course, at least not in the traditional sense of it! The best way for you self-evaluate is by following the tutorials.

Social learning plays a vital role in getting the most out of this journey, so you might also like to join in on conversations using @OriGudes, @allthatgeo, #gisforpublichealth and #GeoHealth on social media.

Who this course is for:

  • Government employees in the Health sector
  • Academics/students focussed on Health issues
  • NGOs in the Health sector

Course content

6 sections • 35 lectures • 2h 56m total length

  • Welcome!
    00:02
  • Course Enrolment Survey
    00:01

  • Preview06:19
  • Preview00:01
  • Preview08:30
  • Preview00:01
  • Preview08:46
  • Preview00:01
  • Preview07:55
  • Preview00:01

  • Lecture 1 - Why Public Health needs GIS
    12:31
  • Tutorial 1 - Download and convert data
    00:01
  • Lecture 2A - Coordinate Reference Systems
    09:31
  • Lecture 2B - Attribute joins
    04:47
  • Tutorial 2 - Project and spatially join datasets
    00:01
  • Lecture 3 - Geocoding: making health data mappable
    11:01
  • Tutorial 3 - Geocoding and data cleaning
    00:01
  • Lecture 4 - Transform Health Data
    10:40
  • Tutorial 4 - Working with different spatial scales
    00:01

  • Lesson 1 - Represent Health data
    11:59
  • Tutorial 1 - Create a choropleth map and experiment with data classification
    00:01
  • Lesson 2 - Visualise Health data
    09:58
  • Tutorial 2 - Create data visualisations with Data Plotly plugin
    00:01
  • Lesson 3 - Designing maps
    12:34
  • Tutorial 3 - Work with symbology files and design a layout
    00:01
  • Lesson 4 - Share and publish maps and web GIS
    09:47
  • Tutorial 4 - Export a static map and share a web map
    00:01

  • Lesson 1 - Perform spatial analysis and clustering in the context of Public Heal
    19:44
  • Tutorial 1 - Create a heatmap and clusters
    00:01
  • Lesson 2 - Create space-time modelling
    07:02
  • Tutorial 2 - Create time animations
    00:01
  • Lesson 3 - Execute network and accessibility analysis
    13:51
  • Tutorial 3 - Perform network analysis
    00:01
  • Lesson 4 – Course wrap-up
    10:52

  • Course Feedback Survey
    00:02

Instructor

GeoHealth Experts
GeoHealth Experts
GeoHealth Experts
  • 5.0 Instructor Rating
  • 3 Reviews
  • 9 Students
  • 1 Course

Dr Ori Gudes is a researcher and senior lecturer with expertise in Geographic Information Systems (GIS), spatial analysis, and spatial science. His research focuses on GIS and Health, spatial analysis, decision support systems, city analytics and usability evaluation. Dr Gudes has confirmed his international reputation as a leader in GIS and Health and urban planning research. He has established collaborations with U.S., Canadian, and other GIS researchers through scientific committees, editorial board memberships, joint studies, and conferences. Dr Gudes has a strong background in GIS, spatial analysis with the intersection of urban planning, and scenario planning tools development. He has been teaching GIS, web mapping, and spatial analysis courses and workshops since 2008 at both QUT, Griffith University, Curtin University and UNSW.

Cristina Dias is a Geographer and Geospatial Scientist. She loves teaching all things spatial, engagingly and creatively and has recently founded All That Geo. Cristina is particularly interested in open data and free, open-source tools.

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