Using resource maps in order to reduce the risk of CKD for agricultural communities
Matthias Größler
Presentation: 28.10.2013, 01:55 pm [Video]
Discussion: 28.10.2013, 02:10 pm [Discussion]
The Presentation addresses the use of resources and resource maps in order to reduce the risk of chronicle kidney disease for agricultural communities in El Salvador. One of the intentions of the presentation is to bring into our mind that risk mitigation resources are not limited to resources out of the health sector.
First of all the presentation gives an overview on the aims and objectives of the my project work. In the first topic of general information about resources, resource maps and the correlation between risk and resources is illustrated. The next issue is an approach of how to reach agricultural communities with risk mitigation resources. Afterwards a short example for resource optimisation with available preventive resources is shown. A summary and an outlook to further work complete the presentation.
The described project is aimed at mitigating the risk of CKD for agricultural communities in El Salvador. The ReGLaN Health & Logstics works on concepts in order to decrease the exposure of agricultural communities to agrochemicals. One approach to achieve this goal is the delivery of a Spatial Decision Support System and in my case using logistic resource optimisation. The results from the spatial decision support system and the logistic optimisation will be provided to decision makers. This includes any decision making level from health administration to doctors and nurses and also to risk exposed people.
Resources for risk mitigation - in this case for the risk mitigation of CKD - can be divided by their point of time of application into preventive resources and corrective resources. Preventive resources are used to maintain a healthy organism. Therefore they are used before a person gets ill. Corrective resources are applied when a person is already ill. If you compare preventive resources to corrective resources regarding their disposability, in most of the cases the disposability of preventive resources will be much higher. Therefore I will mainly focus on preventive resources in my further presentation.
The relation between risk and resources has a spatial dependability. Depending on the GPS-location the risk and resource situation changes according to the following factors: First of all the dominating crop and its cultivation method. Secondly, the applied agrochemicals, which can differ in type, amount and frequency. The third factor is the working condition of the agricultural community at the GPS location.
It is a fact, that people in the agricultural communities have to use agrochemicals in order to achieve the crop yield, which ensures their survival. The following of mixing rules can optimize the used agrochemicals and thereby lower the exposure and uptake of the exposed person, as people often use more agrochemicals than necessary. The visualization of mixing rules increases people’s awareness for this topic and therefore support exposed persons especially illiterate people. In this example just the proportion of water cans to agrochemical cans is illustrated, which can be enough to optimize resources but still ensure the necessary crop yield.
First of all the presentation gives an overview on the aims and objectives of the my project work. In the first topic of general information about resources, resource maps and the correlation between risk and resources is illustrated. The next issue is an approach of how to reach agricultural communities with risk mitigation resources. Afterwards a short example for resource optimisation with available preventive resources is shown. A summary and an outlook to further work complete the presentation.
The described project is aimed at mitigating the risk of CKD for agricultural communities in El Salvador. The ReGLaN Health & Logstics works on concepts in order to decrease the exposure of agricultural communities to agrochemicals. One approach to achieve this goal is the delivery of a Spatial Decision Support System and in my case using logistic resource optimisation. The results from the spatial decision support system and the logistic optimisation will be provided to decision makers. This includes any decision making level from health administration to doctors and nurses and also to risk exposed people.
Resources for risk mitigation - in this case for the risk mitigation of CKD - can be divided by their point of time of application into preventive resources and corrective resources. Preventive resources are used to maintain a healthy organism. Therefore they are used before a person gets ill. Corrective resources are applied when a person is already ill. If you compare preventive resources to corrective resources regarding their disposability, in most of the cases the disposability of preventive resources will be much higher. Therefore I will mainly focus on preventive resources in my further presentation.
The relation between risk and resources has a spatial dependability. Depending on the GPS-location the risk and resource situation changes according to the following factors: First of all the dominating crop and its cultivation method. Secondly, the applied agrochemicals, which can differ in type, amount and frequency. The third factor is the working condition of the agricultural community at the GPS location.
It is a fact, that people in the agricultural communities have to use agrochemicals in order to achieve the crop yield, which ensures their survival. The following of mixing rules can optimize the used agrochemicals and thereby lower the exposure and uptake of the exposed person, as people often use more agrochemicals than necessary. The visualization of mixing rules increases people’s awareness for this topic and therefore support exposed persons especially illiterate people. In this example just the proportion of water cans to agrochemical cans is illustrated, which can be enough to optimize resources but still ensure the necessary crop yield.
