Please use this identifier to cite or link to this item: https://scholar.utcc.ac.th/handle/6626976254/4137
Title: The Use of Remote Sensing for Estimating the Impact of Climate Change onJapanese Encephalitis Disease Distribution
Authors: S. Adsavakulchai 
K. Honda 
Issue Date: 2007
Publisher: University of the Thai Chamber of Commerce
University of the Thai Chamber of Commerce
Source: S. Adsavakulchai, K. Honda (2007) The Use of Remote Sensing for Estimating the Impact of Climate Change onJapanese Encephalitis Disease Distribution. UTCC Engineering Research Papers.
Abstract: In Thailand, Japanese encephalitis (JE) occurs primarily in the north and northeastregions and remains a public health problem because the case fatality rate is 10-50%. Thedisease has recently been recognized in new areas and has recurred in previously endemicareas. The environmental interactions are important in the various effects of temperature andrainfall. To tackle with problems on JE, the development of a model that can predict JE case asa function of these environmental factors is needed. Two models have been developed in thisstudy based on time-series analysis. One is in Chiangrai Province that shows high JE cases inThailand and the other is for the whole country, Thailand. The accuracy (R2) of these modelsare 0.970 and 0.783 respectively in 1992-1993 in which model parameters have beendetermined. The models were applied to 1998 data for validation, which showed the accuracy(R2) of 0.727 and 0.621 respectively. Remote sensing data from NOAA AVHRR is introducedto identify rice fields to make it possible to predict JE cases at near real time at the seasonaltime scale in Thailand. The accuracy (R2) of this model is 0.608 in 1998 between the JE casefrom a model and the actual.
URI: https://scholar.utcc.ac.th/handle/6626976254/4137
ISSN: 1906-1625
Rights: This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
Appears in Collections:EN: Journal Articles

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