Predicting Dengue and Malaria Outbreaks in Urban Areas Using Remote Sensing Based Expert Systems

Edith Cowan University, Australia

Updated: 9 months ago
Location: Mount Lawley, WESTERN AUSTRALIA
Deadline: ;

Project Outline:

The increased prevalence of outbreaks of mosquito borne diseases in developing countries such as India and Bangladesh and  regions of Australia has highlighted the need to find ways to predict these outbreaks across urban and regional areas.  A number of environmental and social and economic drivers can increase the prevalence of such outbreaks.

This project will investigate the use of geospatial technologies (location based systems) and AI  techniques to establish the occurrence of Dengue fever and Malaria disease outbreaks in Urban areas in India and Bangladesh.  The research aims to develop prediction models that can be used determine high priority areas for monitoring and prevention strategies.

Desired Skills:

  1. Skills in Database Programming, and Artificial Intelligent systems and Advanced Computer Programming.  (Essential)
  2. R and other languages (Desirable)
  3. Experience in Medical or Biological Science (Desirable)
  4. Good oral and report writing skills (Essential)
  5. Able to work in team environment  (Essential)
  6. Good project management skills (Essential)
  7. Drivers license (Desirable)

Project Area: eAgriculture Research Group and Centre for Environmental Management

Supervisor(s): Dr Leisa Armstrong and T M Shahriar, Dr Amiya Tripathy

Project level: Honours, Masters, PhD

Funding: Applicant should apply for ECUHDR or RTP Scholarship

Start date: Semester 1 2021

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