Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B8, 83-86, 2012
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B8/83/2012/
doi:10.5194/isprsarchives-XXXIX-B8-83-2012
© Author(s) 2012. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
27 Jul 2012
MAPPING THE RISKS OF MALARIA, DENGUE AND INFLUENZA USING SATELLITE DATA
R. K. Kiang1 and R. P. Soebiyanto1,2 1NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
2Goddard Earth Sciences Technology & Research, Universities Space Research Association, Columbia, Maryland, USA
Keywords: Malaria, Dengue, Influenza, satellite, remote sensing Abstract. It has long been recognized that environment and climate may affect the transmission of infectious diseases. The effects are most obvious for vector-borne infectious diseases, such as malaria and dengue, but less so for airborne and contact diseases, such as seasonal influenza. In this paper, we examined the meteorological and environmental parameters that influence the transmission of malaria, dengue and seasonal influenza. Remotely sensed parameters that provide such parameters were discussed. Both statistical and biologically inspired, processed based models can be used to model the transmission of these diseases utilizing the remotely sensed parameters as input. Examples were given for modelling malaria in Thailand, dengue in Indonesia, and seasonal influenza in Hong Kong.
Conference paper (PDF, 434 KB)


Citation: Kiang, R. K. and Soebiyanto, R. P.: MAPPING THE RISKS OF MALARIA, DENGUE AND INFLUENZA USING SATELLITE DATA, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B8, 83-86, doi:10.5194/isprsarchives-XXXIX-B8-83-2012, 2012.

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