Difference between revisions of "GEOSS 10-Year Plan Reference Document"
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| − | * It will be achieved through the development of a system | + | * It will be achieved through the development of a system of in situ, airborne, and space-based systems integrated through assimilation and modelling tools with census data on health, and |
| − | of in situ, airborne, and space-based systems integrated through assimilation and | ||
| − | modelling tools with census data on health, and | ||
| − | * Currently, the work being conducted with remote sensing technologies and disease is | + | * Currently, the work being conducted with remote sensing technologies and disease is through interdisciplinary research groups involving scientists with varied backgrounds such as remote sensing, epidemiologists, and atmospheric scientists (e.g. the international ESSP). The science of epidemiology involves observing factors that might be associated with disease, and then calculating the degree of significance in the association. The true value of Earth Observation data will become more fully |
| − | through interdisciplinary research groups involving scientists with varied | + | realized when simple, user-friendly data products are prepared that are easily overlaid onto disease/dysfunction maps. For example, if an epidemiologist wishes to investigate factors associated with childhood asthma, it will be useful to model the physical location of patients with real-time and cumulative local airborne particulates over the study period. GEOSS can make a significant contribution to this class of activity by ensuring data are available and developing the modelling capability. |
| − | backgrounds such as remote sensing, epidemiologists, and atmospheric scientists (e.g. | + | |
| − | the international ESSP). The science of epidemiology involves observing factors that | + | * GEOSS will be invaluable in allowing exposure and disease data to be related among populations. For example, the aerial particle pollution and health consequences among the World’s major cities could be compared and contrasted, and degenerating environmental |
| − | might be associated with disease, and then calculating the degree of significance in | + | conditions that could lead to the emergence of infectious diseases could be identified and reversed before a new epidemic occurs. |
| − | the association. The true value of Earth Observation data will become more fully | ||
| − | realized when simple, user-friendly data products are prepared that are easily overlaid | ||
| − | onto disease/dysfunction maps. For example, if an epidemiologist wishes to | ||
| − | investigate factors associated with childhood asthma, it will be useful to model the | ||
| − | physical location of patients with real-time and cumulative local airborne particulates | ||
| − | over the study period. GEOSS can make a significant contribution to this class of | ||
| − | activity by ensuring data are available and developing the modelling capability. | ||
Revision as of 08:24, September 21, 2009
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Pg. 43:
- It will be achieved through the development of a system of in situ, airborne, and space-based systems integrated through assimilation and modelling tools with census data on health, and
- Currently, the work being conducted with remote sensing technologies and disease is through interdisciplinary research groups involving scientists with varied backgrounds such as remote sensing, epidemiologists, and atmospheric scientists (e.g. the international ESSP). The science of epidemiology involves observing factors that might be associated with disease, and then calculating the degree of significance in the association. The true value of Earth Observation data will become more fully
realized when simple, user-friendly data products are prepared that are easily overlaid onto disease/dysfunction maps. For example, if an epidemiologist wishes to investigate factors associated with childhood asthma, it will be useful to model the physical location of patients with real-time and cumulative local airborne particulates over the study period. GEOSS can make a significant contribution to this class of activity by ensuring data are available and developing the modelling capability.
- GEOSS will be invaluable in allowing exposure and disease data to be related among populations. For example, the aerial particle pollution and health consequences among the World’s major cities could be compared and contrasted, and degenerating environmental
conditions that could lead to the emergence of infectious diseases could be identified and reversed before a new epidemic occurs.
