Abstract

GIS based analysis of spatial factors effecting DF/DHF epidemic

Kanchana Nakhapakorn
Remote sensing and GIS FoS, Asian Institute of Technology, Thailand
nakhapakorn@yahoo.com

Nitin Kumar Tripathi
Associate Professor
Asian Institute of Technology, Thailand
nitinkt@ait.ac.th

Abstract :
DF/DHF, vector-borne diseases are the most dreaded world wide health problems causing constant and serious risk of high mortality rate to a large part of world’s population. Peoples at least 8 tropical Asian countries including Thailand, suffers from these disease. The patient needs immediate medical attention as soon as he is suspected of attacked by mosquitoes (Aedes aegypti). Hospitals and Health Center must be located near to a possible attacked area. In order to better locating Hospitals and Health Center, a spatial distribution of DF/DHF must be know. Distribution of DF/DHF can be based on the relationship between climatic data, physical data and cases of incidence and GIS technique can then be used to draw up risk zone map of DF/DHF.
The present study explores the potential of remotely sensed data and GIS technology to be used to analyse the spatial factors effecting DF/DHF epidemic and draw up a risk DF/DHF zone in Sukhothai the province of Thailand reported to suffer most from these diseases.