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Visualisation tool to study malaria transmission using network modelling

Malaria has been described as one of the major killer diseases. There were about 219 million cases of malaria in 2010 and an estimated 660,000 deaths. This deserves urgent scientific investigations and studies on malaria transmission. Since malaria is a vector borne disease, this project aims to pr...

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Bibliographic Details
Main Author: Wong,, Ji Yeh
Format: Final Year Project Report
Language:English
English
Published: Universiti Malaysia Sarawak, (UNIMAS) 2014
Subjects:
T Technology (General)
Online Access:http://ir.unimas.my/id/eprint/39554/1/WONG%20JI%20YEH%20%2824%20pgs%29.pdf
http://ir.unimas.my/id/eprint/39554/4/WONG%20JI%20YEH%20%28ft%29.pdf
http://ir.unimas.my/id/eprint/39554/
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spelling my.unimas.ir.395542024-08-30T07:17:54Z http://ir.unimas.my/id/eprint/39554/ Visualisation tool to study malaria transmission using network modelling Wong,, Ji Yeh T Technology (General) Malaria has been described as one of the major killer diseases. There were about 219 million cases of malaria in 2010 and an estimated 660,000 deaths. This deserves urgent scientific investigations and studies on malaria transmission. Since malaria is a vector borne disease, this project aims to produce a visualisation tool to model the disease transmission through formulating a heterogeneous bipartite contact network of two node types (public places and human beings). In addition, the Hypertext Induced Topical Search (HITS) web search algorithm was adapted to implement a search engine, which uses the bipartite contact network as the input. Java was used to implement the visualisation tool. The output from this visualisation tool shows predicted hotspots which harbour the infected malaria vectors. This output was validated with UCINET 6.0 as the benchmark system. A similar dominant node ranking output was obtained when the output from the benchmark system is compared with that of the modelling tool. The resulting information is believed helpful to tackle the issue of malaria transmission from the perspective of vectors detection. Universiti Malaysia Sarawak, (UNIMAS) 2014 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/39554/1/WONG%20JI%20YEH%20%2824%20pgs%29.pdf text en http://ir.unimas.my/id/eprint/39554/4/WONG%20JI%20YEH%20%28ft%29.pdf Wong,, Ji Yeh (2014) Visualisation tool to study malaria transmission using network modelling. [Final Year Project Report] (Unpublished)
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
English
topic T Technology (General)
spellingShingle T Technology (General)
Wong,, Ji Yeh
Visualisation tool to study malaria transmission using network modelling
description Malaria has been described as one of the major killer diseases. There were about 219 million cases of malaria in 2010 and an estimated 660,000 deaths. This deserves urgent scientific investigations and studies on malaria transmission. Since malaria is a vector borne disease, this project aims to produce a visualisation tool to model the disease transmission through formulating a heterogeneous bipartite contact network of two node types (public places and human beings). In addition, the Hypertext Induced Topical Search (HITS) web search algorithm was adapted to implement a search engine, which uses the bipartite contact network as the input. Java was used to implement the visualisation tool. The output from this visualisation tool shows predicted hotspots which harbour the infected malaria vectors. This output was validated with UCINET 6.0 as the benchmark system. A similar dominant node ranking output was obtained when the output from the benchmark system is compared with that of the modelling tool. The resulting information is believed helpful to tackle the issue of malaria transmission from the perspective of vectors detection.
format Final Year Project Report
author Wong,, Ji Yeh
author_facet Wong,, Ji Yeh
author_sort Wong,, Ji Yeh
title Visualisation tool to study malaria transmission using network modelling
title_short Visualisation tool to study malaria transmission using network modelling
title_full Visualisation tool to study malaria transmission using network modelling
title_fullStr Visualisation tool to study malaria transmission using network modelling
title_full_unstemmed Visualisation tool to study malaria transmission using network modelling
title_sort visualisation tool to study malaria transmission using network modelling
publisher Universiti Malaysia Sarawak, (UNIMAS)
publishDate 2014
url http://ir.unimas.my/id/eprint/39554/1/WONG%20JI%20YEH%20%2824%20pgs%29.pdf
http://ir.unimas.my/id/eprint/39554/4/WONG%20JI%20YEH%20%28ft%29.pdf
http://ir.unimas.my/id/eprint/39554/
_version_ 1808981492689272832
score 13.211869

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