eprintid: 6918
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/69/18
datestamp: 2023-11-09 16:18:43
lastmod: 2023-11-09 16:18:43
status_changed: 2023-11-09 16:08:00
type: conference_item
metadata_visibility: show
creators_name: Mathur, N.
creators_name: Asirvadam, V.S.
creators_name: Dass, S.C.
creators_name: Gill, B.S.
title: Generating vulnerability maps of dengue incidences for Petaling district in Malaysia
ispublished: pub
keywords: Algorithms; Disease control; Geographic information systems; Maximum principle; Signal processing, Control process; dengue; Distribution models; EM algorithms; Expectation-maximization algorithms; K-means; Predictive modelling; Vulnerability maps, Clustering algorithms
note: cited By 3; Conference of 12th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2016 ; Conference Date: 4 March 2016 Through 6 March 2016; Conference Code:122817
abstract: Dengue has been reported as a major cause of morbidity and mortality for the last 40 years worldwide including Malaysia. This work develops and implements visualization and predictive modelling for dengue in Malaysia. The incidences are visualized using Geographical Information System (GIS) which provides information on coordinates (latitude and longitude) based on the occurrence of incidences registered with the Disease Control Division of the Ministry of Health, Malaysia. Clustering is performed on this data using centroid and distribution models that are representatives of K-means and the Expectation Maximization (EM) algorithms, respectively. The results are validated for Petaling district of Selangor and are shown to possess good performance in predicting the dengue incidences. The proposed method is able to localize the incidences which can further be utilized for vector disease control processes. © 2016 IEEE.
date: 2016
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983556567&doi=10.1109%2fCSPA.2016.7515836&partnerID=40&md5=612db247a30a84c00a49e4571a0dde62
id_number: 10.1109/CSPA.2016.7515836
full_text_status: none
publication: Proceeding - 2016 IEEE 12th International Colloquium on Signal Processing and its Applications, CSPA 2016
pagerange: 227-232
refereed: TRUE
isbn: 9781467387804
citation:   Mathur, N. and Asirvadam, V.S. and Dass, S.C. and Gill, B.S.  (2016) Generating vulnerability maps of dengue incidences for Petaling district in Malaysia.  In: UNSPECIFIED.