GIS Analysis for Health Sector Programmes

7 years ago Posted By : User Ref No: WURUR14792 0
  • Image
  • TypeTraining or Development Class
  • Image
  • Location Nairobi, Kenya
  • Price
  • Date 13-11-2017 - 17-11-2017
Training or Development Class Title
GIS Analysis for Health Sector Programmes
Event Type
Training or Development Class
Training or Development Class Date
13-11-2017 to 17-11-2017
Location
Nairobi, Kenya
Organization Name / Organize By
Indepth Research Services
Organizing/Related Departments
GIS
Organization Type
Organization
Training or Development ClassCategory
Both (Technical & Non Technical)
Training or Development ClassLevel
International
Related Industries

Education/Teaching/Training/Development

Engineering

OTHERS

Location
Nairobi, Kenya

Event: GIS Analysis for Health Sector Programmes

Venue: Indepth Research Services, Nairobi, Kenya.

Event Date: 13th – 17th November 2017

NITA CERTIFIED

INTRODUCTION

The physical and social environment that surrounds us plays an important part in our health and wellbeing. The geography concept of ‘place’ thus cannot be ignored in public health. Whether investigating the level of environmental pollution, access to recreation or services, or the patterns or spread of disease, Geographic Information Systems (GIS) provide the standard platform for exploring spatial attributes and relationships between our environment and health.

This course offers an introduction to GIS and how it is used in public health and epidemiological research. It will introduce students to the basics including: working with and integrating spatial and non-spatial data; geographic scale and spatial precision; decoding; visualization; thematic mapping; and understanding spatial relationships. Specific skills and tools will be introduced in relation to assessing exposure to a range of environmental risks, and a particular focus will be given to methods for spatial linkage of exposure, contextual and confounder information for epidemiological or health risk assessment studies

Participants will apply their new skills to one of several case studies in topics on epidemiology, risk assessment or infectious disease. The course will offer a mixture of lectures, demonstrations and hands-on exercises in Quantum GIS (QGIS).

WHO SHOULD APPLY

Public health practitioners, epidemiologists, exposure scientists, quantitative health geographers, risk assessors, students.

REQUIREMENTS

No prior knowledge of GIS is required. Participants will be working on their own laptop with Quantum GIS (QGIS).

DURATION

5 Days

LEARNING OBJECTIVES

By the end of this course, the learner will - within a public health context - be able to:

  • Understand the basics of spatial data and its role in decision making
  • Undertake spatial analysis of environment and health data
  • Explain why geographic data and tools are important for health decision makers
  • Understand geography as a unifying framework and GIS as a tool to collect, link, analyze, visualize, manage, and share data and information
  • Distinguish between the different tools used to collect, analyze, and manipulate geographic data
  • Communicate with technical specialists to develop program-specific geographic products Work with and integrate spatial and non-spatial data
  • Integrate data of different geographic scales and spatial precision
  • Visualize spatial data
  • Investigate spatial patterns of health risks and disease rates
  • Produce thematic maps and reports

TOPIC TO BE COVERED

Geographic approaches to global health

  • Introduction
  • Everything happens somewhere
  • Dr John Snow example
  • Mapping and evidence based decision
  • Geography and national spatial data infrastructure
  • Strategic role of geography in health
  • Geographic data
  • Geographic tools
  • Process for using geographic data and tools

Introducing GIS and health applications

  • Define GIS
  • spatial Data sources for HIV/AIDS and other health related issues
  • National infrastructure for spatial data
  • capabilities of GIS
  • GIS for health applications
  • Introduction to Quantum GIS(QGIS) and its user interface

Spatial data collection techniques for health applications

  • Using GPS
  • Using GPS utility software for managing and downloading and managing data
  • Using Mobile Phones for GIS data collection
  • Importing GPS data to Quantum GIS
  • Digitizing and scanning of maps
  • Using data from databases database management

Visualizing health data

  • Understand map layers in GIS
  • Composing a GIS layout from GIS layers
  • Navigate a map using zooming, panning, and bookmarks
  • Connecting visual map features and tabular data
  • Selecting subsets of map features from geo processing
  • Finding map features
  • Use data sorting records and labeling features to produce information
  • Key elements of a map
  • Case study

Designing maps for a health study

  • Design and build numeric scales for mapping attributes
  • Symbolize numeric scales for polygons using color ramps
  • Symbolize numeric scales for points using size-graduated point markers
  • Map the relationship of two variables
  • Build professional map' layouts for presentations and reports
  • GIS mapping of most at risk populations (MARPS)
  • GIS Mapping of health facilities and health resources

Geocoding tabular data

  • Create new health-care map layers using internal and local data
  • Spatially join and aggregate point data to create choropleth maps
  • Working with spreadsheets data in GIS
  • Building and coding the new variables

GIS analysis and mapping techniques

  • Import and project map layers for a local analysis
  • Project maps for health-data analysis at different geographic scales
  • Adding feature to GIS data
  • Reducing GIS data from large coverage to an area of interest
  • Techniques of overlying GIS data
  • Extracting subsets of GIS data for mapping
  • Prepare incidence and prevalence maps
  • Investigate spatial patterns of uninsured and poor populations

Online Publishing of maps and GIS outputs

  • Working with Google Maps and Fusion Tables
  • Publishing into other web based platforms

Case study: Studying disease outbreaks

How to participate

  • Tailors make your course.
  • Register individual.
  • Register as a group
  • Become one of our partners.
  • Purchase software’s
  • Frequently asked Questions (FAQ’s)

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For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814, +254 731240802, +254 735331020.

Others Details

Accommodation is arranged upon request. For reservations contact the Training Officer.

Registration Fees
Available
Registration Fees Details
USD 1100
Registration Ways
Email
Phone
Website
Address/Venue
  Nairobi, Kenya. 
Official Email ID