eprintid: 2415
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/24/15
datestamp: 2023-11-09 15:50:38
lastmod: 2023-11-09 15:50:38
status_changed: 2023-11-09 15:43:29
type: conference_item
metadata_visibility: show
creators_name: Goh, K.N.
creators_name: Chen, Y.Y.
creators_name: Chow, C.H.
title: Disease data visualization and interpretation system: A case study
ispublished: pub
keywords: Communicable disease; Decision making process; Google maps; Interpretation; Interpretation systems; Non-communicable disease; Record information; Vector-borne disease, Decision making; Diseases; Flow visualization; Health; Visualization, Data visualization
note: cited By 0; Conference of IADIS International Conference ICT, Society and Human Beings 2012, IADIS International Conference e-Commerce 2012, Part of the IADIS Multi Conference on Computer Science and Information Systems 2012, MCCSIS 2012 ; Conference Date: 21 July 2012 Through 23 July 2012; Conference Code:100744
abstract: Malaysians suffer from both communicable and non-communicable diseases. Tuberculosis (communicable disease) is common in rural places and dengue (non-communicable disease) is a popular vector borne disease in Malaysia. Health centers will record information of the victims, but merely recording the address in Microsoft Excel file does not provide any insight to viewers of such data. An easy to use tool is not available for the doctors, officers from Ministry of Health and also the public to analyze and visualize the data. It is difficult and time consuming to analyze and interpret raw data tabulated through Microsoft Excel. This research aims to develop a prototype tool that visualizes disease data on Google map. An interpretation is then generated along with the visualization to give an impartial description about the data. This prototype obtained favorable feedback from the health officer as it can help them in analyzing data and assist in the decision making process. The benefit of such application is helpful in tracking diseases' spreading pattern, how to isolate diseases and mobilizing personnel's and equipment to the infected areas. © 2012 IADIS.
date: 2012
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887490905&partnerID=40&md5=57b53562f536a128c6769f9425905a1f
full_text_status: none
publication: Proceedings of the IADIS International Conference Interfaces and Human Computer Interaction 2012, IHCI 2012, Proceedings of the IADIS International Conference Game and Entertainment Technologies 2012
place_of_pub: Lisbon
pagerange: 251-256
refereed: TRUE
isbn: 9789728939755
citation:   Goh, K.N. and Chen, Y.Y. and Chow, C.H.  (2012) Disease data visualization and interpretation system: A case study.  In: UNSPECIFIED.