DocumentCode :
2778021
Title :
Modeling Dengue Fever Subject to Temperature Change
Author :
Bee, Tan Kah ; Lye, Koh Hock ; Yean, Teh Su
Author_Institution :
Sch. of Math. Sci., Univ. Sains Malaysia, Minden, Malaysia
Volume :
5
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
61
Lastpage :
65
Abstract :
Mosquito-borne diseases cause considerable human mortality and morbidity around the globe, particularly in tropical countries. Mosquito-borne diseases such as dengue, malaria and yellow fever exhibit a distinct seasonal pattern. This leads to the hypothesis that episodes of mosquito-borne diseases are related to climatic conditions. It is observed that global atmospheric temperature has increased significantly over the last decades due to global warming, leading to a concern that mosquito-borne diseases may become more prevalent with the increase in temperature and precipitation. The changes in climate are expected to disrupt seasonal weather patterns, to increase the incidence rate of these diseases and to cause the disease to spread over a broader geographical range. This paper investigates the potential effect of climate change on mosquito population distribution and on the incidence rate of dengue fever.
Keywords :
Runge-Kutta methods; atmospheric temperature; diseases; global warming; Runge-Kutta equations; dengue fever modelling; global atmospheric temperature; global warming; mosquito population distribution; mosquito-borne diseases; precipitation; temperature change; Analytical models; Differential equations; Diseases; Fuzzy systems; Global warming; Humans; Humidity; Mathematical model; Temperature; Vaccines; Aedes aegypti Mosquito Model; Climate change; Dengue;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
Type :
conf
DOI :
10.1109/FSKD.2009.761
Filename :
5360658
Link To Document :
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