GIS and Remote Sensing for Public Health and Epidemiology Course

3 years ago Posted By : User Ref No: WURUR82865 0
  • Image
  • TypeTraining or Development Class
  • Image
  • Location Nairobi, Kenya
  • Price
  • Date 23-08-2021 - 27-08-2021
GIS and Remote Sensing for Public Health and Epidemiology Course, Nairobi, Kenya
Training or Development Class Title
GIS and Remote Sensing for Public Health and Epidemiology Course
Event Type
Training or Development Class
Training or Development Class Date
23-08-2021 to 27-08-2021
Location
Nairobi, Kenya
Organization Name / Organize By
Upskill Development Institute
Organizing/Related Departments
Upskill Training Department
Organization Type
Education Institution
Training or Development ClassCategory
Both (Technical & Non Technical)
Training or Development ClassLevel
All (State/Province/Region, National & International)
Related Industries

Education/Teaching/Training/Development

Research/Science

Medical/Healthcare/Hospital

Location
Nairobi, Kenya

Click on this link to register to attend

Introduction

Epidemiology seeks to determine associations between exposure risk and disease that are spatially dependent. Public health focuses on the health of populations rather than of individuals and focuses more on prevention of health problems. These efforts fall naturally within the domain of problems requiring use of spatial analysis as part of the solution, and GIS and other spatial analysis tools are therefore recognized as providing potentially transformational capabilities for Epidemiology and public health efforts.

This course is to link common public health questions with appropriate statistical procedures; to offer a strong conceptual grounding in several important statistical procedures; and to describe how to interpret the results from the statistics in ways that are principled and will be persuasive to intended audiences using simple software tools. Statistics are a mainstay in the toolkit of public health professionals. Human memory being what it is, however, even Public health professionals with reasonable statistical training, over the years, often forget the basics. If professionals are going to make sensible use of consultants, communicate effectively with funders, and understand others’ reports, then they often need at least a conceptual understanding of relatively complex, recently developed statistical techniques.

Our main goal is to help the participants acquire hands-on skills in use of Geographic Information System (GIS) as a tool to capture, store, analyze, manage, and visualize disease cases data that is geographically linked. The participants will also acquire statistical data analysis skills.

Duration

5 Days

Objectives

  • To present to participants all data-related aspects of a GIS, such as the data models in GIS, data input, data editing, data visualization, metadata and managing a spatial database.
  • To develop Understanding on the different components of a GIS and the role GIS plays in solving epidemiological and public health problems.
  • Establish understanding on how to work with spatial data and GIS techniques to solve epidemiology and public health problems.
  • To Carry out advanced analyses of geographical data with specific reference to epidemiological related issues
  • To improve data management and analysis skills of the participants
  • To perform spatial and temporal epidemiological and public health analysis using GIS.
  • To expose participants to data capture, input, manipulation and display by GIS
  • To explain to the participant role of GIS as a decision support system in public health
  • To demonstrate to participant use of GIS in mapping health facilities and projects.

Course Content

 Epidemiology and public health concepts and frameworks

  • Introduction to Epidemiology and public health concepts
  • Introduction to GIS in Epidemiology and public health context
  • Planning for a GIS system installation
  • GIS Data sources for Epidemiology and public health
  • Working with a GIS software

Mobile Data Collection Technology

  • Mobile Data Collection using ODK and KoBoToolbox technology

GIS data management in epidemiology and public health

  • Public health and epidemiology GIS Database creation
  • Data Types and Data Sources in Epidemiology and public health
  • Working with GIS Data
  • Working with data from different sources (databases, shapefiles and spreadsheets)
  • Facilitated Practical exercises in working with GIS Data
  • Styling and symbolization

Spatial mapping and Visualization in Epidemiology and Public health

  • Mapping Project activities
  • GIS mapping of priority public health problems (HIV and AIDS, Malaria, Tuberculosis)
  • GIS mapping of Most at Risk Populations (MARPS)
  • GIS Mapping of health facilities and health resources

GIS for monitoring in Epidemiology and public health

  • GIS in Disease transmission and progression mapping
  • GIS as a Decision Support System for Public Health Management (What, where, when, how and why analysis – case studies)
  • Use of GIS in Epidemiology and Health Related Disaster Management (case studies or practical)
  • GIS in Environmental management and Public health (case studies or practical)

Participatory GIS and use of mobile GIS

  • Participatory GIS in public health
  • Use of mobile GIS in health surveillance and assessments
  • Integrating GIS into Electronic Medical Records (case studies or practical?)

 Basic statistical data analysis for Epidemiology and Public health

  • Introduction to excel
  • Preparing data for analysis
  • Creating a list
  • Manipulating data using formulas
  • Outlining and Sorting data
  • Entering Data: Data Forms
  • Finding Records Using Criteria
  • Filtering Data
  • Data Auditing
  • Data validation

Graphs, Charts and Line Graphs

  • Bar Charts
  • Statistical Data Analysis with Excel Presentation using Pivot charts
  • Descriptive Statistics
  • Pivot tables
  • Probability Distribution
  • Hypothesis tests

Analyses

  • Analyses of Variance
  • Measures of Precision
  • Single Factor Experiments
  • Factorial Experiments
  • Regression Analysis

Data Quality reporting

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: [email protected] Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Click on this link to register to attend
 

Registration Fees
Available
Registration Fees Details
Course fee: 1000 usd
Registration Ways
Email
Phone
Website
Address/Venue
  Upskill Training Center, Nairobi Kenya 
Official Email ID
Contact
Daniel Ndung'u

Upskill Training Center, Nairobi Kenya

[email protected]

   +254721331808