The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XXXIX-B8
https://doi.org/10.5194/isprsarchives-XXXIX-B8-83-2012
https://doi.org/10.5194/isprsarchives-XXXIX-B8-83-2012
27 Jul 2012
 | 27 Jul 2012

MAPPING THE RISKS OF MALARIA, DENGUE AND INFLUENZA USING SATELLITE DATA

R. K. Kiang and R. P. Soebiyanto

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.