Prototype decision support framework using geospatial technologies for analysing human health risk | Zendy

Katarzyna Walczak | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Prototype decision support framework using geospatial technologies for analysing human health risk

Author(s) -

Katarzyna Walczak

Publication year - 2017

Language(s) - English

Resource type - Dissertations/theses

DOI - 10.5204/thesis.eprints.103630

Subject(s) - geospatial analysis , decision support system , environmental planning , human health , geography , developing country , human life , environmental resource management , causation , risk assessment , landscape epidemiology , business , landscape assessment , environmental health , risk analysis (engineering) , computer science , cartography , environmental science , medicine , ecology , landscape design , political science , data mining , humanity , biology , law , computer security

This thesis concentrates on the development of a prototype Decision Support Framework based on the landscape epidemiology concept and using GIS to determine human health risk in Semarang (Indonesia). This site was selected as representative of a rapidly urbanizing area in a developing country. The decision support framework examines climatic, landscape and socio-economic factors identified as having significant impacts on water quality and subsequent causation of waterborne and water-related diseases. The research outcomes potentially may be applied worldwide to identify and isolate areas most vulnerable to the effects of the mentioned diseases thus improving quality of life in developing countries

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research