<< - AT6FUI 2014 - <<
GIS-Tailored Risk Minimising Measures for Optimising the Health Situation
Melanie Platz
University of Koblenz-Landau, Campus Landau
Presentation: Available since 19.08.2014 [Video]
Discussion: 26.08.2014 [Discussion]
In radiation, ecotoxicology and epidemiology we have invisible risks. A person, who is located in a risk area needs support to get out of this risk area possibly unscathed. Therefore we deal with the Question: How can risk be made visible for a person located in a risk area and how can early warning and spatial decision support be provided to this person?
A first step to optimise the health situation is to create risk awareness. On this basis, early warning and spatial decision support can be provided to a person located in a hazardous situation.
Certain information about the user, like the geo-location, enables to provide early warning and spatial decision support adjusted to the user's needs. A low cost solution for creating risk awareness and to provide early warning and decision support makes sense when trying to enable the usage of the application for a possibly large target group regarding to the socio-economic situation of certain countries.
A low cost EWARS-Tool for risk visualisation has been developed.
With the visual representation of risk-minimising measures, local risks are intended to be minimised. GIS-tailored infomation, e.g. in from of a video, about the danger posed by diseases and how to reduce the risk of being infected should be provided to the population located in a risk area. Therefore, the concerned people have to be made aware of the availability and necessity of protecive measures. This GIS-tailored ressource for providing information should be tailored to the local people, local problems and to the local language, among others.
In the future, a GIS-tailored knowledge repository containing ressources for generating risk awareness like videos, text information, among others, has to be created to enable the provision of GIS-tailored information adjusted to the needs of the local population and - consequently - to minimise local risks.
A first step to optimise the health situation is to create risk awareness. On this basis, early warning and spatial decision support can be provided to a person located in a hazardous situation.
Certain information about the user, like the geo-location, enables to provide early warning and spatial decision support adjusted to the user's needs. A low cost solution for creating risk awareness and to provide early warning and decision support makes sense when trying to enable the usage of the application for a possibly large target group regarding to the socio-economic situation of certain countries.
A low cost EWARS-Tool for risk visualisation has been developed.
With the visual representation of risk-minimising measures, local risks are intended to be minimised. GIS-tailored infomation, e.g. in from of a video, about the danger posed by diseases and how to reduce the risk of being infected should be provided to the population located in a risk area. Therefore, the concerned people have to be made aware of the availability and necessity of protecive measures. This GIS-tailored ressource for providing information should be tailored to the local people, local problems and to the local language, among others.
In the future, a GIS-tailored knowledge repository containing ressources for generating risk awareness like videos, text information, among others, has to be created to enable the provision of GIS-tailored information adjusted to the needs of the local population and - consequently - to minimise local risks.
